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CN119014841A - Sports data collection system based on wearable devices - Google Patents

Sports data collection system based on wearable devices Download PDF

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Publication number
CN119014841A
CN119014841A CN202411152459.3A CN202411152459A CN119014841A CN 119014841 A CN119014841 A CN 119014841A CN 202411152459 A CN202411152459 A CN 202411152459A CN 119014841 A CN119014841 A CN 119014841A
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data
sports
wearer
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CN119014841B (en
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李拓键
冯琬璇
张格�
朱启莹
何彬彬
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Shandong University
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Shandong University
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/024—Measuring pulse rate or heart rate
    • A61B5/02438—Measuring pulse rate or heart rate with portable devices, e.g. worn by the patient
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A61B5/1118—Determining activity level
    • A—HUMAN NECESSITIES
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    • A61B5/721—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal of noise induced by motion artifacts using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient; User input means
    • A61B5/7405—Details of notification to user or communication with user or patient; User input means using sound
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient; User input means
    • A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient; User input means
    • A61B5/7465—Arrangements for interactive communication between patient and care services, e.g. by using a telephone network
    • A61B5/747—Arrangements for interactive communication between patient and care services, e.g. by using a telephone network in case of emergency, i.e. alerting emergency services
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • G06F3/014—Hand-worn input/output arrangements, e.g. data gloves
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2203/00—Indexing scheme relating to G06F3/00 - G06F3/048
    • G06F2203/01—Indexing scheme relating to G06F3/01
    • G06F2203/011—Emotion or mood input determined on the basis of sensed human body parameters such as pulse, heart rate or beat, temperature of skin, facial expressions, iris, voice pitch, brain activity patterns

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Abstract

本发明公开了基于可穿戴设备的体育运动数据采集系统，涉及数据采集技术领域，包括数据采集端、异常预警端和报警引导端，数据采集端用于通过根据不同佩戴者的身体情况设定体育运动量，实时采集佩戴者的体育运动数据，实现佩戴者身体情况以及运动情况的实时监测，异常预警端用于通过将实时采集的数据进行体育运动评估，报警引导端用于当监测到佩戴者的心率停止或达到危险值时，通过语音播报佩戴者的异常状况寻求帮助。该基于可穿戴设备的体育运动数据采集系统，避免心率监测中出现运动数据伪影，防止运动伪影导致信号失真，能够针对不同佩戴者的身体情况进行体育运动数据的实时追踪，以及能够及时引导佩戴者做出自救行为。

The present invention discloses a sports data collection system based on wearable devices, which relates to the technical field of data collection, and includes a data collection terminal, an abnormal warning terminal and an alarm guidance terminal. The data collection terminal is used to set the amount of sports according to the physical conditions of different wearers, collect the sports data of the wearer in real time, and realize real-time monitoring of the wearer's physical conditions and sports conditions. The abnormal warning terminal is used to evaluate the sports by using the real-time collected data. The alarm guidance terminal is used to broadcast the abnormal conditions of the wearer through voice to seek help when the heart rate of the wearer stops or reaches a dangerous value. The sports data collection system based on wearable devices avoids the occurrence of sports data artifacts in heart rate monitoring, prevents motion artifacts from causing signal distortion, can track sports data in real time according to the physical conditions of different wearers, and can guide the wearer to take self-help actions in time.

Description

Sports data acquisition system based on wearable equipment
Technical Field
The invention relates to the technical field of data acquisition, in particular to a sports data acquisition system based on wearable equipment.
Background
The wearable device is a modern scientific and technological product, the wearable device is a portable electronic device which can be worn directly on the body or integrated into clothes and accessories of a user, the portable electronic device generally comprises a smart watch, a smart bracelet, a smart earphone, smart glasses and the like, the updated product is updated through the technology such as wireless technology, sensing technology, algorithm calculation and the like, new power is injected into the market of the wearable device along with the rapid development of the generated artificial intelligence, products such as the smart ring, the smart glasses and the like are provided with more intelligent and more convenient user experience through the integrated AI function, and the application of a sports data acquisition system of the wearable device is more and more common along with the higher and higher intellectualization of the smart device.
At present, the existing wearable equipment cannot accurately monitor physical sign information of a wearer in a free state in real time under a high-intensity exercise condition, for example, exercise data artifact can occur in heart rate monitoring, and the exercise artifact can cause signal distortion to influence the accuracy of data acquisition; meanwhile, the wearable device can monitor heart rate abnormality and the like of the wearer in real time, but can not track sports data in real time according to physical conditions of different wearers, predict physical abnormality of the wearer in advance through sports, and can not remind the wearer of the physical abnormality in time, so that the limitation of the collection of the sports data of the wearable device is affected; and after the wearer is abnormal, the existing wearable equipment can give an alarm in time, but the wearer cannot be guided to make self-rescue behaviors in time before the alarm personnel arrive, so that the practical effect of the wearable equipment is weaker.
Accordingly, a sports data acquisition system based on a wearable device is now proposed to solve the above-mentioned problems.
Disclosure of Invention
The main objective of the present invention is to provide a sports data acquisition system based on a wearable device, so as to solve the problems set forth in the background above.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows: the sports data acquisition system based on the wearable equipment comprises a data acquisition end, an abnormal early warning end and an alarm guide end;
The data acquisition end is used for acquiring physical movement data of the wearer in real time by setting physical movement amounts according to physical conditions of different wearers, realizing real-time monitoring of the physical conditions and the movement conditions of the wearer, carrying out artifact identification and pulse elimination on the physical movement data in real time, and ensuring the accuracy of physical movement data acquisition of the wearer;
The abnormal early warning terminal is used for carrying out sports evaluation on data acquired in real time, calculating the sports loss and the residual sports data of a wearer in real time, tracking the sports data of the wearer in real time, realizing visual real-time tracking, carrying out early warning and reminding before the completion of the sports loss, and timely sending out voice early warning and reminding to remind the wearer of correct sports when the abnormal data of sports are monitored according to the physical condition of the wearer;
The alarm guide end is used for immediately alarming when the heart rate of the wearer is monitored to stop or reach a dangerous value, locating the current position of the wearer in real time, displaying a path in real time through the locating navigator, seeking help through the abnormal condition of the wearer through voice broadcasting, guiding the wearer to conduct self-rescue operation through a self-rescue mode, and repeatedly broadcasting the abnormal condition and the physical condition of the wearer in real time until medical staff catches up to manually close the voice broadcasting of the wearable equipment.
The data acquisition end comprises a data acquisition module, a data identification module and an artifact tracking module;
the data acquisition module comprises an object information unit, a data threshold unit, a real-time acquisition unit and a multi-source intercommunication unit;
the object information unit is used for setting object types, wherein the object types comprise at least one of heart disease patients, myocardial infarction patients, sportsmen and general personnel;
the data threshold unit is used for setting a heart rate threshold range according to different object types;
The real-time acquisition unit is used for acquiring the sports data parameters at the current moment in real time through the data acquisition instrument, wherein the sports data parameters comprise at least one of heart rate, myoelectric parameters, kinematic parameters and kinetic parameters;
The multi-source intercommunication unit is used for realizing full network intercommunication through big data equipment and a computer Internet.
The data identification module comprises a motion artifact unit and a pulse elimination unit;
the motion artifact unit is used for calculating motion artifacts of the sports data at the current moment, and the calculation formula is as follows:
Wherein E is the entropy of the motion artifact image of the sports data at the current moment, N is the total pixel number of the motion artifact image of the sports data, and f is the gray value of the motion artifact pixel of the j-th sports data;
the pulse eliminating unit is used for calculating the motion artifact correction value, and the calculation formula is as follows:
EV＝min(Ei)
Wherein E V is the entropy of the motion artifact image corresponding to the correct correction, and E i is the entropy of the motion artifact image corresponding to each inverse simulation correction.
The artifact tracking module comprises an artifact identification unit and a data receiving unit;
the artifact identification unit is used for monitoring and identifying sports artifacts at the current moment in real time through an infrared spectrometer;
The data receiving unit is used for receiving the physical exercise data parameters of the wearable equipment in real time through the data receiver.
The abnormal early warning end comprises a body tracking module, a data comparison module and a data early warning module;
The body tracking module comprises a threshold value comparison unit and a motion evaluation unit;
The threshold comparison unit is used for comparing the sports parameters received in real time with the sports parameters of different object types in threshold, calculating the difference value, judging that the sports is normal if the difference value is less than or equal to 0, and judging that the sports is abnormal if the difference value is more than 0;
The motion evaluation unit is used for evaluating the sports motion at the current moment in real time according to the threshold comparison difference value.
The data comparison module comprises a motion loss unit and a residual motion unit;
The motion loss unit is used for calculating the average motion loss of a wearer and recording the average motion loss in real time through the data recorder, and the calculation formula is as follows:
Wherein MPF represents the average motion loss of the wearer at the current moment, f is the motion frequency, and the power spectral density function of the P (f) electromyographic signal;
The residual motion unit is used for calculating the residual motion quantity of the wearer today through the average motion loss, specifically, calculating the residual motion quantity of different types of wearers through a sum and difference formula according to a motion quantity calculating method of the average motion loss.
The data early warning module comprises a motion tracking unit and an early warning and reminding unit;
the motion tracking unit is used for tracking the physical exercise data parameters of the wearer in real time through the data tracker and calculating the residual motion quantity in real time;
and the early warning reminding unit is used for reporting the system to send out early warning reminding when the value of the residual exercise amount is smaller than the safety threshold value and feeding back to the wearer to stop the exercise.
The alarm guide end comprises an emergency alarm module, a voice guide module and an abnormal repetition module;
the emergency alarm module comprises an emergency alarm unit, a real-time positioning unit and a path display unit;
the emergency alarm unit is used for inputting an emergency alarm telephone into the wearable equipment system through the big data equipment, and automatically calling 120 an emergency center telephone for help when the heart rate is abnormal or stopped;
the real-time positioning unit is used for positioning the position of the wearable equipment at the current moment in real time through the positioning navigator;
The path display unit is used for determining the shortest path between the wearable device and the nearest hospital in real time through the navigation device, displaying the real-time distance between the hospital or the emergency center and the wearable device, and displaying the distance between the wearable device and the nearest hospital in real time through the display screen.
The voice guidance module comprises a broadcasting seeking unit and an emergency guidance unit;
The broadcasting seeking unit is used for repeatedly broadcasting 'finding early warning, requesting to give rescue' in time through the voice broadcasting device;
The first aid guiding unit is used for repeatedly broadcasting ' smooth breath ' through the voice broadcasting device, keeping consciousness awake ' and guiding a patient to correctly make self-rescue response according to self conditions.
The abnormal repeating module comprises an abnormal broadcasting unit and a manual closing unit;
The abnormal broadcasting unit is used for repeatedly broadcasting the abnormality through the voice broadcasting, reminding the surrounding to give help to the wearer and broadcasting the physical condition of the wearer;
The manual closing unit is used for ensuring the success probability of calling for help by setting a manual closing switch.
The invention has the following beneficial effects:
1. According to the invention, the data acquisition end is arranged, when the sports data of the wearable equipment are acquired, the sports quantity is set according to the physical conditions of different wearers, and the sports data of the wearers are acquired in real time, so that the physical conditions and the real-time monitoring of the sports conditions of the wearers are realized, the wearable equipment can accurately monitor the physical sign information of the wearers in a free state in real time, and meanwhile, the sports data are identified and pulse eliminated in real time, so that the sports data artifact can be avoided in heart rate monitoring, the signal distortion caused by the sports artifact is prevented, and the accuracy of the data acquisition is ensured.
2. According to the invention, by setting the abnormal early warning terminal, when sports data of the wearable equipment are acquired, sports evaluation is carried out on the data acquired in real time, and the sports loss and the residual sports data of the wearer are calculated in real time, so that the sports data of the wearer can be tracked in real time according to the physical conditions of different wearers, the physical abnormality of the wearer can be predicted in advance through sports, early warning and reminding are carried out before the sports loss is finished, and according to the physical conditions of the wearer, when the data of sports items are monitored to be abnormal, the physical abnormality of the wearer can be timely reminded, and the limitation of the sports data acquisition of the wearable equipment is reduced.
3. According to the invention, the alarm guide end is arranged, when the sports data of the wearable equipment is acquired, the alarm is immediately given when the heart rate of the wearer is monitored to stop or reach a dangerous value, the current position of the wearer is positioned in real time, the path is displayed in real time through the positioning navigator, and the abnormal condition of the wearer is broadcasted through voice to seek help, so that after the wearer is abnormal, the alarm can give an alarm in time, the wearer can be guided to make a self-rescue action in time before the alarm is reached, surrounding personnel are reminded to feed back the abnormal body of the wearer in time, and the practical effect of the wearable equipment is improved.
Drawings
FIG. 1 is a schematic diagram of the overall system architecture of a wearable device-based athletic movement data acquisition system of the present invention;
FIG. 2 is a schematic diagram of a data acquisition end of the wearable device-based athletic movement data acquisition system of the present invention;
FIG. 3 is a schematic diagram of the architecture of an anomaly early warning end of the wearable device-based athletic movement data acquisition system of the present invention;
fig. 4 is a schematic diagram of the architecture of the alarm leading end of the wearable device-based athletic movement data collection system of the present invention.
Detailed Description
The invention is further described in connection with the following detailed description, in order to make the technical means, the creation characteristics, the achievement of the purpose and the effect of the invention easy to understand.
Example 1
Please refer to fig. 1-2: the sports data acquisition system based on the wearable equipment comprises a data acquisition end, an abnormal early warning end and an alarm guide end;
The data acquisition end is used for acquiring physical movement data of the wearer in real time by setting the physical movement amount according to the physical conditions of different wearers, realizing real-time monitoring of the physical conditions and the movement conditions of the wearer, carrying out artifact identification and pulse elimination on the physical movement data in real time, and ensuring the accuracy of the physical movement data acquisition of the wearer;
The abnormal early warning end is used for carrying out sports evaluation on the data acquired in real time, calculating the sports loss and the residual sports data of the wearer in real time, tracking the sports data of the wearer in real time, realizing visual real-time tracking, carrying out early warning reminding before the sports loss is finished, and timely sending out voice early warning reminding to remind the wearer of correct sports when the abnormal data of sports are monitored according to the physical condition of the wearer;
the alarm guide end is used for immediately alarming when the heart rate of the wearer is monitored to stop or reach a dangerous value, locating the current position of the wearer in real time, displaying a path in real time through the locating navigator, seeking help through the abnormal condition of the wearer through voice broadcasting, guiding the wearer to conduct self-rescue operation through a self-rescue mode, and repeatedly broadcasting the abnormality and the physical condition of the wearer in real time until medical staff catches up to manually close the voice broadcasting of the wearable device.
The data acquisition end comprises a data acquisition module, a data identification module and an artifact tracking module;
the data acquisition module comprises an object information unit, a data threshold unit, a real-time acquisition unit and a multi-source intercommunication unit;
the object information unit is used for setting object types, wherein the object types comprise at least one of heart disease patients, myocardial infarction patients, sportsmen and general personnel;
the data threshold unit is used for setting a heart rate threshold range according to different object types;
the real-time acquisition unit is used for acquiring the sports data parameters at the current moment in real time through the data acquisition instrument, wherein the sports data parameters comprise at least one of heart rate, myoelectric parameters, kinematic parameters and kinetic parameters;
The multi-source intercommunication unit is used for realizing full network intercommunication through big data equipment and a computer Internet.
The data identification module comprises a motion artifact unit and a pulse elimination unit;
the motion artifact unit is used for calculating motion artifacts of the sports data at the current moment, and the calculation formula is as follows:
Wherein E is the entropy of the motion artifact image of the sports data at the current moment, N is the total pixel number of the motion artifact image of the sports data, and f is the gray value of the motion artifact pixel of the j-th sports data;
The pulse eliminating unit is used for calculating the motion artifact correction value, and the calculation formula is as follows:
EV＝min(Ei)
Wherein E V is the entropy of the motion artifact image corresponding to the correct correction, and E i is the entropy of the motion artifact image corresponding to each inverse simulation correction.
The artifact tracking module comprises an artifact identification unit and a data receiving unit;
The artifact identification unit is used for monitoring and identifying the sports artifact at the current moment in real time through an infrared spectrometer;
The data receiving unit is used for receiving the physical exercise data parameters of the wearable device in real time through the data receiver.
The physical exercise quantity is set according to the physical condition of different wearers, the physical exercise data of the wearers are collected in real time, the physical condition and the real-time monitoring of the physical condition of the wearers are realized, the wearable equipment can accurately monitor the physical sign information of the wearers in a free state in real time, meanwhile, the physical exercise data is identified and pulse eliminated in real time, the movement data artifact can be avoided in heart rate monitoring, the signal distortion caused by the movement artifact is prevented, and the accuracy of data collection is ensured.
Example two
Please refer to fig. 3: based on the first embodiment, the abnormality early-warning terminal comprises a body tracking module, a data comparison module and a data early-warning module;
The body tracking module comprises a threshold value comparison unit and a motion evaluation unit;
the threshold value comparison unit is used for comparing the sports parameters received in real time with the sports parameters of different object types in threshold value, calculating the difference value, judging that the sports is normal if the difference value is less than or equal to 0, and judging that the sports is abnormal if the difference value is more than 0;
the motion evaluation unit is used for evaluating the sports motion at the current moment in real time according to the threshold comparison difference value.
The data comparison module comprises a motion loss unit and a residual motion unit;
The motion loss unit is used for calculating the average motion loss of the wearer and recording the average motion loss in real time through the data recorder, and the calculation formula is as follows:
Wherein MPF represents the average motion loss of the wearer at the current moment, f is the motion frequency, and the power spectral density function of the P (f) electromyographic signal;
The remaining exercise unit is used for calculating the remaining exercise amount of the wearer today through the average exercise loss, specifically calculating the remaining exercise amount of different types of wearers through a sum and difference formula according to an exercise amount calculation method of the average exercise loss.
The data early warning module comprises a motion tracking unit and an early warning and reminding unit;
The motion tracking unit is used for tracking the sports data parameters of the wearer in real time through the data tracker and calculating the residual motion quantity in real time;
and the early warning reminding unit is used for reporting the system to send out early warning reminding when the value of the residual exercise amount is smaller than the safety threshold value and feeding back that the wearer stops the exercise.
The sports data of the wearer can be tracked in real time by carrying out sports evaluation on the data acquired in real time and calculating the sports loss and the residual sports data of the wearer in real time, the sports data of the wearer can be tracked in real time according to the physical conditions of different wearers, the physical abnormality of the wearer can be predicted in advance through sports, early warning and reminding are carried out before the completion of the sports loss, and according to the physical conditions of the wearer, when the physical abnormality of the data of sports is monitored, the physical abnormality of the wearer can be timely reminded, and the limitation of the sports data acquisition of the wearable equipment is reduced.
Example III
Please refer to fig. 4: based on the first embodiment, the alarm guiding end comprises an emergency alarm module, a voice guiding module and an abnormal repeating module;
the emergency alarm module comprises an emergency alarm unit, a real-time positioning unit and a path display unit;
The emergency alarm unit is used for inputting an emergency alarm telephone into the wearable equipment system through the big data equipment, and when the heart rate is abnormal or stopped, the emergency call 120 automatically calls for help by the emergency center telephone;
The real-time positioning unit is used for positioning the position of the wearable equipment at the current moment in real time through the positioning navigator;
the path display unit is used for determining the shortest path between the wearable device and the nearest hospital in real time through the navigation device, displaying the real-time distance between the hospital or the emergency center and the wearable device, and displaying the distance between the wearable device and the nearest hospital in real time through the display screen.
The voice guiding module comprises a broadcasting seeking unit and an emergency guiding unit;
the broadcasting seeking unit is used for repeatedly broadcasting 'finding early warning, requesting to give rescue' in time through the voice broadcasting device;
The first aid guiding unit is used for repeatedly broadcasting ' smooth breath ' through the voice broadcasting device, keeping consciousness awake ' and guiding a patient to correctly make self-rescue response according to the self condition.
The abnormal repeating module comprises an abnormal broadcasting unit and a manual closing unit;
the abnormal broadcasting unit is used for repeatedly broadcasting the abnormality through the voice broadcasting, reminding surrounding users to give help, broadcasting the physical condition of the users, and facilitating accurate rescue measures according to the physical condition and the historical diseases of the users;
The manual closing unit is used for guaranteeing success probability of calling for help by setting a manual closing switch, so that the device can repeatedly broadcast basic physical diseases of a wearer when monitoring that heart rate of the wearer is stopped or abnormal, remind the rescuer to adopt a more accurate rescue scheme, and the manual closing switch is used for guaranteeing that the wearer is rescued, and the reminding switch of the wearable device is closed by the rescuer or medical staff after the rescue is obtained.
Through when monitoring that the heart rate of wearer stops or reaches dangerous value, report to the police immediately to the current position of real-time location wearer and through location navigator real-time display route, seek help through the unusual situation of voice broadcast wearer, make the wearer appear unusual after, can in time report to the police can in time guide the wearer to make the action of saving oneself before the alarm personnel arrive, and in time remind personnel feedback wearer's around health unusual, increase the result of use of wearable equipment.
According to the sports data acquisition system based on the wearable equipment, when the sports data acquisition system is used for acquiring the sports data of the wearable equipment, the sports quantity is set according to the physical conditions of different wearers, the sports data of the wearers are acquired in real time, the physical conditions and the real-time monitoring of the sports conditions of the wearers are realized, so that the wearable equipment can accurately monitor the physical sign information of the wearers in a free state in real time, and meanwhile, the sports data can be identified and pulse eliminated in real time, so that the sports data artifact can be avoided in heart rate monitoring, the signal distortion caused by the sports artifact is prevented, and the accuracy of data acquisition is ensured; the sports data of the wearer can be tracked in real time by carrying out sports evaluation on the data acquired in real time and calculating the sports loss and the residual sports data of the wearer in real time, the physical abnormality of the wearer can be predicted in advance through sports according to the physical conditions of different wearers, early warning and reminding are carried out before the sports loss is finished, and according to the physical conditions of the wearer, when the physical abnormality of the data of sports is monitored, the physical abnormality of the wearer can be timely reminded, and the limitation of the sports data acquisition of the wearable equipment is reduced; through when monitoring that the heart rate of wearer stops or reaches dangerous value, report to the police immediately to the current position of real-time location wearer and through location navigator real-time display route, seek help through the unusual situation of voice broadcast wearer, make the wearer appear unusual after, can in time report to the police can in time guide the wearer to make the action of saving oneself before the alarm personnel arrive, and in time remind personnel feedback wearer's around health unusual, increase wearable equipment's practical effect.
The foregoing has shown and described the basic principles and main features of the present invention and the advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (10)

1.基于可穿戴设备的体育运动数据采集系统，其特征在于，所述系统包括数据采集端、异常预警端和报警引导端；1. A sports data collection system based on wearable devices, characterized in that the system includes a data collection terminal, an abnormal warning terminal and an alarm guidance terminal; 所述数据采集端用于通过根据不同佩戴者的身体情况设定体育运动量，实时采集佩戴者的体育运动数据，实现佩戴者身体情况以及运动情况的实时监测，并实时对体育运动数据进行伪影识别和脉冲消除，保证佩戴者体育运动数据采集的准确性；The data collection end is used to set the amount of exercise according to the physical conditions of different wearers, collect the wearer's exercise data in real time, realize real-time monitoring of the wearer's physical condition and exercise conditions, and perform artifact recognition and pulse elimination on the exercise data in real time to ensure the accuracy of the wearer's exercise data collection; 所述异常预警端用于通过将实时采集的数据进行体育运动评估，并实时计算佩戴者的运动损耗以及剩余运动数据，实时追踪佩戴者的体育运动数据，实现可视化实时追踪，并在运动损耗量完成前进行预警提醒，以及根据佩戴者身体情况，当监测到体育项目的数据异常时，及时发出语音预警提醒，提醒佩戴者正确运动；The abnormal warning terminal is used to evaluate the sports data collected in real time, calculate the sports loss and remaining sports data of the wearer in real time, track the sports data of the wearer in real time, realize visual real-time tracking, and issue a warning reminder before the sports loss is completed. According to the physical condition of the wearer, when the data of the sports project is monitored to be abnormal, a voice warning reminder is issued in time to remind the wearer to exercise correctly; 所述报警引导端用于当监测到佩戴者的心率停止或达到危险值时，立即报警，并实时定位佩戴者的当前位置以及通过定位导航仪实时显示路径，通过语音播报佩戴者的异常状况寻求帮助，以及通过自救方式引导佩戴者进行自救行为的操作，并实时重复播报佩戴者的异常以及身体状况，直至医护人员赶来人工关闭可穿戴设备的语音播报。The alarm guidance terminal is used to immediately sound an alarm when it detects that the wearer's heart rate stops or reaches a dangerous value, and to locate the wearer's current position in real time and display the path in real time through a positioning navigator, to seek help through voice broadcast of the wearer's abnormal condition, and to guide the wearer to perform self-rescue actions through self-rescue methods, and to repeatedly broadcast the wearer's abnormality and physical condition in real time until medical staff arrive and manually turn off the voice broadcast of the wearable device. 2.根据权利要求1所述的系统，其特征在于，所述数据采集端包括数据采集模块、数据识别模块和伪影追踪模块；2. The system according to claim 1, characterized in that the data acquisition terminal comprises a data acquisition module, a data identification module and an artifact tracking module; 所述数据采集模块包括对象信息单元、数据阈值单元、实时采集单元和多源互通单元；The data acquisition module includes an object information unit, a data threshold unit, a real-time acquisition unit and a multi-source intercommunication unit; 所述对象信息单元用于设定对象类型，对象类型包括心脏病患者、心肌梗死患者、体育运动员以及一般人员中的至少一种；The object information unit is used to set the object type, and the object type includes at least one of a heart disease patient, a myocardial infarction patient, a sports athlete, and a general person; 所述数据阈值单元用于根据不同的对象类型设定心率阈值范围；The data threshold unit is used to set the heart rate threshold range according to different object types; 所述实时采集单元用于通过数据采集仪实时采集当前时刻的体育运动数据参数，体育运动数据参数包括心率、肌电参数、运动学参数和动力学参数中的至少一种；The real-time acquisition unit is used to acquire the sports data parameters of the current moment in real time through the data acquisition instrument, and the sports data parameters include at least one of heart rate, electromyographic parameters, kinematic parameters and kinetic parameters; 所述多源互通单元用于通过大数据设备和计算机互联网实现全网互通。The multi-source intercommunication unit is used to achieve full network intercommunication through big data equipment and computer Internet. 3.根据权利要求2所述的系统，其特征在于，所述数据识别模块包括运动伪影单元和脉冲消除单元；3. The system according to claim 2, characterized in that the data identification module includes a motion artifact unit and a pulse elimination unit; 所述运动伪影单元用于计算当前时刻体育运动数据的运动伪影，计算公式如下：The motion artifact unit is used to calculate the motion artifact of the sports data at the current moment, and the calculation formula is as follows: 其中，E为当前时刻体育运动数据的运动伪影图像的熵值，N为体育运动数据的运动伪影图像总的像素数，f为第j个体育运动数据的运动伪影像素的灰度值；Wherein, E is the entropy value of the motion artifact image of the sports data at the current moment, N is the total number of pixels of the motion artifact image of the sports data, and f is the grayscale value of the motion artifact pixel of the j-th sports data; 所述脉冲消除单元用于计算运动伪影纠正值，计算公式如下：The pulse elimination unit is used to calculate the motion artifact correction value, and the calculation formula is as follows: EV＝min(Ei) EV = min( Ei ) 其中，EV为正确校正对应的运动伪影图像的熵值，Ei为各个逆向模拟校正后对应的运动伪影图像的熵值。Wherein, EV is the entropy value of the motion artifact image corresponding to the correct correction, and Ei is the entropy value of the motion artifact image corresponding to each inverse simulation correction. 4.根据权利要求3所述的系统，其特征在于，所述伪影追踪模块包括伪影识别单元和数据接收单元；4. The system according to claim 3, characterized in that the artifact tracking module includes an artifact identification unit and a data receiving unit; 所述伪影识别单元用于通过红外光谱仪实时监测并识别当前时刻的体育运动伪影；The artifact recognition unit is used to monitor and recognize the sports artifacts at the current moment in real time through an infrared spectrometer; 所述数据接收单元用于通过数据接收器实时接收可佩戴设备的体育运动数据参数。The data receiving unit is used to receive sports data parameters of the wearable device in real time through a data receiver. 5.根据权利要求1所述的系统，其特征在于，所述异常预警端包括身体追踪模块、数据比对模块和数据预警模块；5. The system according to claim 1, characterized in that the abnormal warning terminal includes a body tracking module, a data comparison module and a data warning module; 所述身体追踪模块包括阈值比对单元和运动评估单元；The body tracking module includes a threshold comparison unit and a motion assessment unit; 所述阈值比对单元用于将实时接收到的体育运动参数与不同对象类型的运动参数进行阈值比对，计算其差值，若差值≤0则判断体育运动正常，若差值>0则判断体育运动异常；The threshold comparison unit is used to compare the real-time received sports parameters with the sports parameters of different object types, calculate the difference, and judge the sports to be normal if the difference is ≤0, and judge the sports to be abnormal if the difference is >0; 所述运动评估单元用于根据阈值比对差值，对当前时刻的体育运动进行实时评估。The motion evaluation unit is used to perform real-time evaluation of the current motion according to the threshold comparison difference. 6.根据权利要求5所述的系统，其特征在于，所述数据比对模块包括运动损耗单元和剩余运动单元；6. The system according to claim 5, characterized in that the data comparison module includes a motion loss unit and a residual motion unit; 所述运动损耗单元用于计算佩戴者的平均运动损耗，并通过数据记录仪实时记录，计算公式如下：The motion loss unit is used to calculate the average motion loss of the wearer and record it in real time through a data recorder. The calculation formula is as follows: 其中，MPF表示当前时刻佩戴者的平均运动损耗，f是运动频率，P(f)肌电信号的功率谱密度函数；Among them, MPF represents the average motion loss of the wearer at the current moment, f is the motion frequency, and P(f) is the power spectral density function of the electromyographic signal; 所述剩余运动单元用于通过平均运动损耗计算佩戴者今日的剩余运动量，具体是按照平均运动损耗的运动量计算方法，通过和差公式，计算不同类型佩戴者的剩余运动量。The remaining exercise unit is used to calculate the remaining exercise amount of the wearer today through the average exercise loss. Specifically, the remaining exercise amount of different types of wearers is calculated through the sum and difference formula according to the exercise amount calculation method of the average exercise loss. 7.根据权利要求6所述的系统，其特征在于，所述数据预警模块包括运动追踪单元和预警提醒单元；7. The system according to claim 6, characterized in that the data warning module includes a motion tracking unit and a warning reminder unit; 所述运动追踪单元用于通过数据追踪仪实时追踪佩戴者的体育运动数据参数，并实时计算剩余运动量；The motion tracking unit is used to track the wearer's sports data parameters in real time through a data tracker, and calculate the remaining exercise volume in real time; 所述预警提醒单元用于当剩余运动量数值小于安全阈值时，上报系统，发出预警提醒，反馈佩戴者停止体育运动。The early warning reminder unit is used to report to the system when the remaining exercise value is less than the safety threshold, issue an early warning reminder, and feedback the wearer to stop physical exercise. 8.根据权利要求1所述的系统，其特征在于，所述报警引导端包括紧急报警模块、语音引导模块和异常重复模块；8. The system according to claim 1, characterized in that the alarm guidance terminal includes an emergency alarm module, a voice guidance module and an abnormal repetition module; 所述紧急报警模块包括紧急报警单元、实时定位单元和路径显示单元；The emergency alarm module includes an emergency alarm unit, a real-time positioning unit and a path display unit; 所述紧急报警单元用于通过大数据设备将紧急报警电话输入可穿戴设备系统内，当心率异常或停止时，紧急呼叫120急救中心电话自动求救；The emergency alarm unit is used to input the emergency alarm phone number into the wearable device system through the big data device, and when the heart rate is abnormal or stops, the emergency call 120 emergency center phone number is automatically called for help; 所述实时定位单元用于通过定位导航仪实时定位当前时刻的可穿戴设备位置；The real-time positioning unit is used to locate the wearable device position at the current moment in real time through a positioning navigator; 所述路径显示单元用于通过导航设备实时将可穿戴设备与最近距离的医院进行最短路径的确定，显示医院或急救中心距离可穿戴设备的实时距离，并通过显示屏实时显示当前路径两者的距离。The path display unit is used to determine the shortest path between the wearable device and the nearest hospital in real time through the navigation device, display the real-time distance between the hospital or emergency center and the wearable device, and display the distance between the two on the current path in real time through the display screen. 9.根据权利要求8所述的系统，其特征在于，所述语音引导模块包括播报寻求单元和急救引导单元；9. The system according to claim 8, characterized in that the voice guidance module includes a broadcast seeking unit and an emergency guidance unit; 所述播报寻求单元用于通过语音播报器重复播报“发现预警，请及时给予施救”；The broadcast seeking unit is used to repeatedly broadcast "Warning is found, please provide rescue in time" through a voice broadcaster; 所述急救引导单元用于通过语音播报器重复播报“平稳呼吸，保持意识清醒”，并引导患者根据自身情况正确做出自救反应。The first aid guidance unit is used to repeatedly broadcast "breathe steadily and keep conscious" through a voice announcer, and guide the patient to make a correct self-rescue response according to his or her own situation. 10.根据权利要求9所述的系统，其特征在于，所述异常重复模块包括异常播报单元和人工关闭单元；10. The system according to claim 9, characterized in that the abnormal repetition module comprises an abnormality broadcast unit and a manual closing unit; 所述异常播报单元用于通过语音播报器重复播报异常，提醒周围给予佩戴者帮助，并播报佩戴者的身体状况；The abnormality broadcast unit is used to repeatedly broadcast abnormalities through a voice broadcaster, remind the surrounding to help the wearer, and broadcast the wearer's physical condition; 所述人工关闭单元用于通过设定人工关闭开关，保证呼救的成功概率。The manual closing unit is used to ensure the success probability of calling for help by setting a manual closing switch.
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Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030065269A1 (en) * 2001-09-28 2003-04-03 Csem Centre Suisse D'electronique Et De Microtechnique Sa Method and device for pulse rate detection
US20030233051A1 (en) * 2002-06-18 2003-12-18 Christophe Verjus Portable equipment for measuring and/or monitoring the heart rate
US6736759B1 (en) * 1999-11-09 2004-05-18 Paragon Solutions, Llc Exercise monitoring system and methods
DE102012206293A1 (en) * 2012-04-17 2013-10-17 Siemens Aktiengesellschaft Method for operating pulse oximeter, involves identifying motion artifacts in measuring signal, where measuring signal is evaluated with respect to arterial oxygen saturation in time intervals of measuring signal
US20160220188A1 (en) * 2015-01-29 2016-08-04 Ki H. Chon Motion and noise artifact detection and reconstruction algorithms for photoplethysmogram and equivalent signals
CN106334291A (en) * 2016-09-09 2017-01-18 杭州联络互动信息科技股份有限公司 Method and device for regulating sport amount through intelligent wearable equipment
CN107361747A (en) * 2017-08-23 2017-11-21 广东小天才科技有限公司 Warning method and device for intelligent wearable equipment
CN109330574A (en) * 2018-12-08 2019-02-15 徐州智编信息科技有限公司 A kind of intelligent guarding system based on Internet of Things
CN110384479A (en) * 2018-04-17 2019-10-29 三星电子株式会社 Arrhythmia classification system and device based on motion sensor and optical sensor
CN110522454A (en) * 2019-08-02 2019-12-03 奇酷互联网络科技（深圳）有限公司 Move based reminding method, wearable device and storage medium
CN110769748A (en) * 2017-04-18 2020-02-07 皇家飞利浦有限公司 Artifact tolerant pulse rate variability measurement
CN111329465A (en) * 2020-03-23 2020-06-26 江苏省肿瘤医院 Heart rate monitoring and alarming intelligent bracelet and heart rate monitoring and alarming method
KR102402162B1 (en) * 2021-08-13 2022-05-27 (주)헬스원 Exercise information monitoring system using heart rate of multiple users

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6736759B1 (en) * 1999-11-09 2004-05-18 Paragon Solutions, Llc Exercise monitoring system and methods
US20040260191A1 (en) * 1999-11-09 2004-12-23 Stubbs Jack B. Exercise monitoring system and methods
US20030065269A1 (en) * 2001-09-28 2003-04-03 Csem Centre Suisse D'electronique Et De Microtechnique Sa Method and device for pulse rate detection
US20030233051A1 (en) * 2002-06-18 2003-12-18 Christophe Verjus Portable equipment for measuring and/or monitoring the heart rate
DE102012206293A1 (en) * 2012-04-17 2013-10-17 Siemens Aktiengesellschaft Method for operating pulse oximeter, involves identifying motion artifacts in measuring signal, where measuring signal is evaluated with respect to arterial oxygen saturation in time intervals of measuring signal
US20160220188A1 (en) * 2015-01-29 2016-08-04 Ki H. Chon Motion and noise artifact detection and reconstruction algorithms for photoplethysmogram and equivalent signals
CN106334291A (en) * 2016-09-09 2017-01-18 杭州联络互动信息科技股份有限公司 Method and device for regulating sport amount through intelligent wearable equipment
CN110769748A (en) * 2017-04-18 2020-02-07 皇家飞利浦有限公司 Artifact tolerant pulse rate variability measurement
CN107361747A (en) * 2017-08-23 2017-11-21 广东小天才科技有限公司 Warning method and device for intelligent wearable equipment
CN110384479A (en) * 2018-04-17 2019-10-29 三星电子株式会社 Arrhythmia classification system and device based on motion sensor and optical sensor
CN109330574A (en) * 2018-12-08 2019-02-15 徐州智编信息科技有限公司 A kind of intelligent guarding system based on Internet of Things
CN110522454A (en) * 2019-08-02 2019-12-03 奇酷互联网络科技（深圳）有限公司 Move based reminding method, wearable device and storage medium
CN111329465A (en) * 2020-03-23 2020-06-26 江苏省肿瘤医院 Heart rate monitoring and alarming intelligent bracelet and heart rate monitoring and alarming method
KR102402162B1 (en) * 2021-08-13 2022-05-27 (주)헬스원 Exercise information monitoring system using heart rate of multiple users

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