WO2020147309A1 - Intelligent nursing bed - Google Patents

Abstract

An intelligent nursing bed, comprising a control module, and an information acquisition module and an information display module which are separately connected to the control module. The information acquisition module is used for acquiring physiological parameter information of a monitoring object. The control module is used for signal processing, analysis, calculation, and transmission, and used for completing a control instruction and performing abnormal lesion alarm processing according to a signal analysis result, and coordinating and checking the work of parts of the whole machine. For the abnormal lesion alarm processing, a human physiological signal is processed by wavelet transform, and signal energy calculation and energy characteristic analysis are performed to identify a human lesion and give an alarm. The information display module is used for displaying the acquired physiological information of the monitoring object, and operating and selecting a target and sending a corresponding instruction. The intelligent nursing bed integrates the functions of nursing, monitoring, and emergency alarm, thereby achieving better care for patients and the seniors.

Description

Intelligent nursing bed Technical field

The invention belongs to the technical field of nursing beds, and specifically relates to an intelligent nursing bed.

Background technique

A report issued by the United Nations pointed out that the world’s population aging process is accelerating, and the proportion of people over 60 years old is expected to double in the next 50 years. As a result of various disasters and diseases, the number of disabled people is increasing year by year, and they have varying degrees of loss of ability, such as walking, vision, hands-on, and language. A huge number of elderly and disabled people need the objective requirements of nursing, the improvement of people's living standards, and the desire to reduce the labor intensity of family members and nursing staff, and the traditional use of nursing beds cannot meet the requirements, so more intelligent nursing with higher technical content is required Bed to satisfy the dysfunctional group’s urgent desire for self-care and independence in life.

Summary of the invention

The purpose of the present invention is to provide an intelligent nursing bed that integrates nursing, monitoring and emergency alarm functions to realize better nursing for patients and the elderly.

The present invention provides the following technical solutions:

An intelligent nursing bed, comprising a control module, and an information collection module and an information display module respectively connected to the control module;

The information collection module is used to collect physiological parameter information of the subject;

The control module is used for signal processing, analysis, calculation and transmission, completes control instructions and performs abnormal disease alarm processing according to the signal analysis result, and at the same time coordinates and detects the work of each part of the whole machine;

The abnormal lesion alarm processing adopts wavelet transform to process human physiological signals, calculates signal energy and energy feature analysis to identify human lesions and alarm;

The information display module is used to display various collected physiological information of the monitored object, operate and select targets and send corresponding instructions.

Preferably, the information acquisition module adopts a physiological parameter measurement module. The physiological parameter measurement module includes three-channel ECG, NIBP, digital SPO2, respiration, two-channel body temperature, and two-channel IBP, which are used to collect the heart rhythm and blood oxygen of the subject. Saturation, blood pressure, body temperature, pulse rate and five-lead ECG parameter information.

Preferably, the control module adopts a PCM9375 chip processor based on ARM9, and the chip processor is respectively connected with LAN1, KB/MS, COM1 interface, LCD, USB interface, CRT interface and power supply.

Preferably, the information display module displays various physiological information of the monitored subject through a touch screen.

Preferably, the information collection and display, abnormal disease alarm processing and signal processing, analysis, calculation, and transmission all adopt embedded WindowsCE operating system and developed in the Visual Studio.NET environment.

Preferably, the abnormal lesion alarm processing adopts wavelet transform to process human physiological signals, remove noise from the signals, and then calculate signal energy and energy feature analysis, and perform fuzzy pattern recognition on the signal after energy feature analysis to identify and judge the fault and the human body If there is a disease, an alarm will be sent to the human body.

The beneficial effects of the present invention are: the intelligent bed closely integrates the single-chip technology and the real thing, it has the monitoring function and the human-computer interaction function, makes the equipment more flexible and humanized, and is convenient to deal with emergencies; the nursing bed completes the human body according to the control instructions Different body positions change; at the same time, real-time detection of the physiological parameters of the monitored object, automatic identification and alarm if health abnormalities are found; monitoring data and alarm information can be transmitted to the remote monitoring center via the Internet.

BRIEF DESCRIPTION

The accompanying drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation to the present invention. In the drawings:

Figure 1 is a schematic diagram of the structural principle of the present invention;

Figure 2 is a flowchart of the abnormal lesion alarm algorithm of the present invention.

detailed description

As shown in Figure 1 and Figure 2, an intelligent nursing bed includes a control module and an information acquisition module and an information display module respectively connected to the control module; the information acquisition module is used to collect the physiological parameter information of the patient; the control module is used In signal processing, analysis, calculation and transmission, complete control instructions and perform abnormal disease alarm processing according to the signal analysis results, and coordinate and detect the work of all parts of the whole machine; abnormal disease alarm processing uses wavelet transform to process human physiological signals and calculate signals Energy and energy characteristics are analyzed to identify human lesions and alarm; the information display module is used to display various collected physiological information of the monitored object, operate and select targets and send corresponding instructions.

Specifically, the information acquisition module uses the BM100 physiological parameter measurement module, which integrates 3-channel ECG, NIBP, digital SPO2, respiration, 2-channel body temperature, 2-channel IBP, and can collect heart rhythm, blood oxygen saturation, blood pressure, body temperature, pulse Parameters such as rate, five-lead ECG.

Specifically, the control module adopts a PCM9375 chip processor based on ARM9, and the chip processor is respectively connected with LAN1, KB/MS, COM1 interfaces, LCD, USB interfaces, CRT interfaces and power supply. The information display module displays various physiological information of the monitored object through the touch screen. Information acquisition and display, abnormal disease alarm processing and signal processing, analysis, calculation and transmission are all based on the embedded WindowsCE operating system, developed in the Visual Studio.NET environment, to achieve user multi-physiological parameter sensor information acquisition and display, abnormal Lesion alarm and network transmission functions.

As shown in Figure 1 and Figure 2, an intelligent nursing bed can be connected to a physiological parameter monitor during use. The user sends instructions to the physiological parameter monitor through the serial port, opens the function module on the selected monitor, and implements it to the user Physiological parameter detection, and read the raw data of human physiological parameters through the serial port, and then analyze the data, extract the data of blood oxygen, body temperature, blood pressure, and ECG 4 modules in the data, and use the digital and dynamic curves in real time. When displayed, select the measurement parameters in the information display module, and then click Send to send the selection command to the monitoring module, and the monitoring module starts to work. It can respond to the intelligent case part of the monitored person, display the past medical history, and analyze the physiological data. Abnormal data can be recorded to facilitate detailed diagnosis by medical staff.

As shown in Figure 1 and Figure 2, the abnormal disease alarm processing of an intelligent nursing bed uses wavelet transform to process human physiological signals. The human physiological signal is a non-stationary low-frequency strong noise signal. The wavelet multi-resolution analysis has good performance. The localization characteristics of the spatial domain and the frequency domain can well describe the sudden change information of the signal. Therefore, the wavelet theory is used as a tool for signal sudden change diagnosis. Since the human physiological signal is different from the industrial signal, it is very weak. The wavelet energy time spectrum with more concentrated signal characteristics is used in the analysis and processing of the signal, that is, the signal is removed from noise, and then the signal energy and energy characteristic analysis are calculated. The signal after energy feature analysis is subjected to fuzzy pattern recognition to identify and judge faults and human diseases, and human diseases are alarmed.

Furthermore, an intelligent nursing bed is based on the nursing bed, using embedded technology to develop an intelligent health monitoring system, which realizes real-time detection of the physiological parameters of the subject and automatic alarm for health abnormalities. In order to ensure the accuracy of the alarm, the signal is analyzed Noise, sensor signals and human physiological signal characteristics, researched the intelligent health alarm model based on wavelet analysis, and realized an intelligent health monitoring bed that integrates "care", "monitoring" and "critical alarm" functions, which not only meets the needs of the current society At the same time, as a terminal, it can form a social-oriented networked health monitoring system with the remote monitoring center, which can realize the dual combination of upper computer and lower computer, realize remote control, make the system more stable and safe, and make users more convenient. The intelligent bed care system is connected to the network, which is more convenient for people to monitor and can realize better care for patients and the elderly.

The foregoing descriptions are only preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, for those skilled in the art, they can still compare the foregoing embodiments. The recorded technical solutions are modified, or some of the technical features are equivalently replaced. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims (6)

An intelligent nursing bed, characterized by comprising a control module, and an information collection module and an information display module respectively connected to the control module; The information collection module is used to collect physiological parameter information of the subject; The control module is used for signal processing, analysis, calculation and transmission, completes control instructions and performs abnormal disease alarm processing according to the signal analysis result, and at the same time coordinates and detects the work of each part of the whole machine; The abnormal lesion alarm processing adopts wavelet transform to process human physiological signals, and performs calculation signal energy and energy feature analysis to identify human lesions and alarm; The information display module is used to display various collected physiological information of the monitored object, operate and select targets and send corresponding instructions. The intelligent nursing bed according to claim 1, wherein the information acquisition module adopts a physiological parameter measurement module, and the physiological parameter measurement module includes three-channel ECG, NIBP, digital SPO2, respiration, and two-channel body temperature. , Two-channel IBP, used to collect the subject's heart rhythm, blood oxygen saturation, blood pressure, body temperature, pulse rate and five-lead ECG parameter information. The intelligent nursing bed according to claim 1, wherein the control module adopts a PCM9375 chip processor based on ARM9, and the chip processor is respectively connected with LAN1, KB/MS, COM1 interfaces, LCD, USB Interface, CRT interface and power supply. The intelligent nursing bed according to claim 1, wherein the information display module displays various physiological information of the monitored subject through a touch screen. The intelligent nursing bed according to claim 1, characterized in that the information collection and display, abnormal disease alarm processing and signal processing, analysis, calculation and transmission all adopt embedded WindowsCE operating system, in Visual Studio Developed under .NET environment. The intelligent nursing bed according to claim 1, wherein the abnormal disease alarm processing adopts wavelet transform to process human physiological signals, remove noise from the signals, and then perform calculation signal energy and energy characteristic analysis, and calculate the energy characteristics The analyzed signal undergoes fuzzy pattern recognition to identify and judge faults and human lesions, and alarms for human lesions.

Images