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WO2016207672A2 - Procédé et dispositif permettant de déterminer des bruits cardiaques fœtaux par une détection passive et système permettant d'examiner une fonction cardiaque du fœtus - Google Patents

Procédé et dispositif permettant de déterminer des bruits cardiaques fœtaux par une détection passive et système permettant d'examiner une fonction cardiaque du fœtus Download PDF

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Publication number
WO2016207672A2
WO2016207672A2 PCT/HU2016/000040 HU2016000040W WO2016207672A2 WO 2016207672 A2 WO2016207672 A2 WO 2016207672A2 HU 2016000040 W HU2016000040 W HU 2016000040W WO 2016207672 A2 WO2016207672 A2 WO 2016207672A2
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WIPO (PCT)
Prior art keywords
output
input
fetal heart
memory
unit
Prior art date
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Ceased
Application number
PCT/HU2016/000040
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English (en)
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WO2016207672A3 (fr
Inventor
Imre Bartos
Imre JUHÁSZ
János KÁLDI
Sándor SERES
István Székely
Miklós TÖRÖK
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Pentavox Mernoki Menedzsment Es Kereskedelmi Kft
Original Assignee
Pentavox Mernoki Menedzsment Es Kereskedelmi Kft
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Priority to CN201680002952.4A priority Critical patent/CN106793996B/zh
Publication of WO2016207672A2 publication Critical patent/WO2016207672A2/fr
Publication of WO2016207672A3 publication Critical patent/WO2016207672A3/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/344—Foetal cardiography
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B7/00—Instruments for auscultation
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/02—Measuring pulse or heart rate
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2503/00—Evaluating a particular growth phase or type of persons or animals
    • A61B2503/02—Foetus
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network

Definitions

  • the invention relates to a method for determining fetal heart sounds by passive sensing and to a device for carrying out the method, which device can be preferably utilized in home conditions, and can also be preferably applied in telemedicine.
  • the invention further relates to a system for examining fetal heart function.
  • the type of measurement most frequently used nowadays is the ultrasonic method based on the Doppler principle, which is an active method and thereby involves continuous energy irradiation for a non-negligible period of time and is not suited for tests carried out at home without supervision.
  • There is a very limited choice of passive methods adapted for examining fetal heart function primarily due to problems related to physical interfacing with and access to the maternal body, and secondly due to the fact that the tests require substantial expertise on the part of the persons performing them and last but not least, due to the excessive costs of such tests.
  • Known solutions also include the method, device and triple-chamber acoustic sensor according to EP 0850014 and US 6,245,025, which allow for sufficiently accurate fetal heart function examining and registration of heart function signals starting from a certain age of the fetus that is determined by a number of circumstances, and are also suitable for telemedicine applications.
  • the signals produced by periodic heartbeats are intended to be filtered from the detected noise-laden signals by means of autocorrelation, which results in the reduction of lower-amplitude non-periodic signals (essentially, noise) but sensitivity and accuracy cannot be increased.
  • error-correction mathematical methods are applied for filtering the sounds produced by heartbeats from the noisy signals, but even these are incapable of improving effective sensitivity and accuracy.
  • the object of the invention is to provide a phonocardiography method and device that provides improved sensitivity, reliability and accuracy for determining the sounds of fetal heart function, and thereby renders fetal heart function tests simpler, providing the possibility of carrying out such tests at an earlier developmental stage.
  • Our further objective is to provide a method that allows for obtaining clearly interpretable results from tests carried out without supervision, at home or in telemedicine.
  • a still further objective of our invention is to provide an improved acoustic sensor that allows for optimal detection of fetal heart sounds for subsequent evaluation also in tests carried out without medical supervision, at home, or in telemedicine.
  • the invention is based on the recognition that autocorrelation - which reduces non- periodic noise - is not primarily applied for enhancing signals resulting from the periodic heart sounds, but rather for further noise filtering, such that the amplitude of low-amplitude signals produced by autocorrelation is increased by means of further processing, and then the temporal location of the signals is determined with high accuracy.
  • fetal heart sounds are determined in the following way: a phonocardiographic signal, obtained by a passive acoustic sensor from a maternal abdominal wall, is pre-filtered, amplified, digitized, digitally filtered,
  • autocorrelation is performed in a time window of a predetermined size, and then local maximums of the signals obtained as a result of autocorrelation are determined, temporal location of the local maximums and variation of the temporal location of the local maximums are determined, and, applying the results as input parameters or signals of a fuzzy expert system, those are classified into probability groups - utilizing a fuzzy rule set of a decision logic stored in a knowledge base and biologically expected data - and are evaluated, the numeric results of the evaluation are stored for further processing in an input and output memory and in a control memory.
  • the values stored in the control memory are applied for adjusting the gain of the amplifier and the parameters of the digital filter to achieve a maximum amplitude for the fetal heart rate signal and a minimum for disturbance signals.
  • the rules applicable for making inferences are selected applying the knowledge base and the inference system of the fuzzy expert system and based on the data stored in the knowledge base, and based on that, the temporal distance (time difference) between the signals and thereby the values of fetal heart rate (FHR) are determined by the fuzzy sets.
  • the digitized sound signal derived from fetal heart sounds is transposed to a higher frequency and the transposed sound is audibly displayed.
  • the fetal heart rate signal previously stored in memory is displayed, data - primarily personal and medical data - are assigned to the stored heart rate signal, and the data are stored locally or remotely for evaluation and archiving.
  • an acoustic sensor adapted to be placed on a maternal abdominal wall and for converting acoustic signals of fetal heart function to electric signals, and further comprises
  • a programmable amplifier and filter unit comprising
  • a programmable analogue amplifier connected to the acoustic sensor, an analogue filter connected to the output of the analogue amplifier, an A/D converter connected to the output of the analogue filter, a digital filter connected to the output of the A/D converter, and an intermediate memory connected to the output of the digital filter, and
  • an autocorrelation unit having a delay circuit, a multiplier circuit and an integrator circuit, wherein the input of the delay circuit and a first input of the multiplier circuit are interconnected and constitute the input of the autocorrelation unit, and are connected to the output of the programmable amplifier and filter unit, the output of the delay circuit being connected to a second input of the multiplier circuit, and the output of the multiplier circuit being connected to the input of the integrator circuit, wherein the output of the autocorrelation unit is constituted by the output of the integrator, the device further comprising
  • a fuzzy expert system comprising a parameter normalization unit adapted for receiving data signals and converting them to input signals, a fuzzification unit that is connected to the output of the parameter normalization unit and is adapted for converting the input signals to an input signal complying with fuzzy rules, a fuzzy inference system connected to the output of the fuzzification unit and comprising a decision logic corresponding to the inference process, a knowledge base unit connected with the fuzzy inference system via a bidirectional link and comprising memory storing a data set defining boundary conditions and logical circuits defining decision rules, and a defuzzification unit that is connected to the output of the fuzzy inference system and is adapted for converting the logical decisions to a data signal, the input component of the fuzzy expert system being the parameter normalization unit that is connected to the output of the autocorrelation unit,
  • defuzzification unit of the fuzzy expert system comprises
  • a first output providing temporal distance data of the fetal heart rate (FHR) and a second output providing desired parameters of the digital filter
  • the first output being connected to the input of an input/output MEM3 memory
  • the second output being connected via a control MEM2 memory to the gain control input of the analogue amplifier and to the filtering control input of the digital filter
  • the output of the programmable amplifier and filter unit is connected to an acoustic transducer adapted for converting the fetal heart sounds to an audible signal
  • a modem providing bidirectional data traffic is connected to the input/output MEM3 memory.
  • a preferred embodiment of the device comprises a microprocessor circuit comprising an input A/D converter, the circuit comprising the A/D converter, the digital filter and the intermediate MEM1 memory of the programmable amplifier and filter unit, and also the autocorrelation unit, the fuzzy expert system, as well as the control MEM2 memory and the input/output MEM3 memory.
  • the microprocessor is implemented and programmed as the microprocessor of a mobile phone, iPOD, or other computing device.
  • the input/output MEM3 memory comprises an external data input.
  • the acoustic sensor comprises a housing having an internal space divided into an open first chamber and closed second and third chambers, a sound conduction opening disposed in a separator wall between the first and second chambers, an electromechanical acoustic transducer disposed in the third chamber, the sensor membrane of the electromechanical acoustic transducer being disposed in a wall situated between the second chamber and the third chamber, the first chamber having an edge adapted to fit against a maternal abdominal wall, wherein the first chamber is closed in a position where it is fitted against the maternal abdominal wall, and wherein a respective low-diameter pressure equalization opening, opening to the outside air, is disposed in the side wall of each of the first chamber and of the third chamber.
  • the fetal heart function examining system is essentially characterised in that it comprises one or more fetal heart rate examining devices according to the invention, a respective interfacing modem connected to the output thereof, a central computer adapted for medical evaluation and archiving, one or more computers adapted to be used by treating physicians and/or mobile phones capable of data communication and display, the units being interconnected through an internet network via a data connection carrying bidirectional data traffic.
  • Fig. 1 shows an essentially disturbance-free acoustic signal of fetal heart sounds
  • Fig. 2 illustrates major steps of the method according to the invention
  • Fig. 3 is a block diagram of the device according to the invention.
  • Fig. 4 is a block diagram of a preferred embodiment of the device according to Fig. 3, partly implemented with a microprocessor,
  • Fig. 5 shows a schematic cross-sectional view of a preferred embodiment of the acoustic sensor used in the device
  • Fig. 6 is a possible arrangement of the system according to the invention.
  • Fig. 1 shows a disturbance-free acoustic (phonocardiographic) signal of fetal heart sounds.
  • the two characteristic signals S1 and S2 corresponding to the opening (S1) and closure (S2) of the fetal heart valve; the instantaneous heart rate (the instantaneous FHR) being determined on the basis of the time difference between the subsequent signals S1 or S2.
  • Fig. 2 the major steps of the method according to the invention are illustrated.
  • a phonocardiographic signal obtained from a maternal abdominal wall by means of a passive sensor is amplified, digitized, filtered, and is subjected to an autocorrelation process applying a time window of a predetermined size, and the signal sequence obtained as a result of autocorrelation is processed by a fuzzy expert system.
  • the signals obtained as a result of autocorrelation - being an input parameter of the fuzzy expert system - are classified in probability groups utilizing a rule set of a decision logic stored in a knowledge base (the rule set comprising biologically expected signal ranges and the corresponding probabilities of occurrence), and the signals are then evaluated. Local maximums, temporal location of the local maximums and changes of temporal location of the local maximums of the signals obtained as a result of processing are determined.
  • amplification gain is adjusted to achieve an optimum gain
  • a second output signal of the fuzzy expert system is applied for adjusting filter parameters such that minimal noise is achieved
  • a third output signal comprising the frequency of the fetal heart sound, is stored for further evaluation and processing.
  • Fig. 3 shows a block diagram of a device according to the invention.
  • the device has an acoustic sensor 10 and a programmable amplifier and filter unit 20, wherein the output of the acoustic sensor 10 is connected to the input of the programmable amplifier and filter unit 20.
  • the programmable amplifier and filter unit 20 has a controllable-gain analogue amplifier 22, an analogue filter 23, an AID converter 24, a programmable digital filter 25, and intermediate MEM1 memory 26, all connected in series connection.
  • the analogue amplifier 22 and the digital filter 25 have respective control inputs adapted for adjusting the gain of the analogue amplifier 22, as well as one or more parameters - such as the frequency range, slope, damping, etc. - of the programmable digital filter 25.
  • the device further comprises an autocorrelation unit 30 having a delay circuit 31 , a multiplier circuit 33, and an integrator 35.
  • the output of the programmable amplifier and filter unit 20 is constituted by the output of the intermediate MEM1 memory 26 that is connected on the one hand to the input of the delay circuit 31 , and on the other hand, to a first input of the multiplier circuit 33, wherein the output of the delay circuit 31 is connected to a second input of the multiplier circuit 33.
  • the output of the multiplier circuit 33 is connected to the input of an integrator 35, wherein the output of the integrator 35 is connected to the input of a fuzzy expert system 40.
  • the input unit of the fuzzy expert system 40 is a parameter normalization unit 41 , the output of which being connected to the input of a fuzzification unit 43, the output of the fuzzification unit 43 being connected to a first input of a fuzzy inference system 45.
  • the fuzzy expert system 40 further comprises a knowledge base module 47 connected to the fuzzy inference system 45 by a connection providing bidirectional data transfer.
  • the output of the fuzzy inference system 45 is connected to a defuzzification interface 49, wherein one output of the defuzzification interface 49 is connected via a control memory 60 to the respective control inputs of the analogue amplifier 22 and of the digital filter 25 of the programmable amplifier and filter unit 20, and another output thereof is connected to the input of an input/output MEM3 memory 50.
  • the memory 50 has an external data input 90, and an interfacing modem 80 is connected to the memory 50.
  • An acoustic display unit 70 adapted for converting fetal heart sounds to audible signals is also connected to the output of the programmable amplifier and filter unit 20.
  • the device operates by converting, by the acoustic sensor 10, the fetal heart sounds detected in an acoustic manner at the maternal abdominal wall into an electric signal, amplifying the converted signal in a controlled manner to the desired level by the analogue amplifier 22, and - since they fall outside the frequency range of fetal heart sound signals - applying an analogue filter 23 for filtering out higher-frequency components from the detected signal.
  • the amplified and filtered signals are converted by the A/D converter 24 into a digital signal, and the digitized signal is further filtered applying a programmable digital filter 25, filtering out the components falling outside the frequency range of the useful signal, while - taking into account the age of the fetus, the build of the mother and the position of the fetus - the signals falling into the useful range are adjusted to an optimum amplitude. Filtering on the one hand reduces low-frequency components, maternal heart sounds and other disturbance signals, and on the other hand also reduces the higher-frequency components of external disturbances.
  • the amplifier gain and the filtering parameters are programmed for a maximum fetal heart sound signal and a minimal disturbance signal.
  • the digital signal sequence thereby obtained is stored in the intermediate MEM1 memory 26.
  • the correlation function is produced by the autocorrelation unit 30 according to the following formula:
  • T delay time (time distance between clock signal pul
  • R(T) stands for the autocorrelation function
  • v(t-T) stands for the delayed original function
  • the delay time of the delay circuit 31 is selected to be so small that the applied resolution of the fetal heart sound signal can result in an autocorrelated signal having a sufficient accuracy.
  • autocorrelation periodic signals retain their periodicity, while non- periodic signals (i.e. mostly noise) are significantly reduced in amplitude.
  • the intermediate MEM1 memory 26 of the programmable amplifier and filter unit 20 is connected to the input of the autocorrelation unit 30 and also to the input of the input/output MEM3 memory 50 and to the acoustic display unit 70 adapted to display fetal heart sounds.
  • the length and size of the autocorrelation function corresponds to the minimum biologically possible heart rate and to the sampling values, i.e. in our case it contains the fetal heart sound signals of at least four fetal heartbeats.
  • a parameter normalization unit 41 of the fuzzy expert system 40 parameter normalization is performed on the output signal obtained from autocorrelation, which comprises the steps of
  • the selected signals most probably constitute a fetal heart signal sequence. Because heart sound signals may be masked by noise, the detected peaks (maximums) have to be tested for really being characteristic of heart function. It may happen, by way of example, that the fetal heart sound signal cannot be found due to noise, but it can still be detected or determined utilizing the fetal heart sound signal sequence. In these cases the measured signal sequence does not have to be discarded, but rather the location of the fetal heart sound signal should be determined utilizing the other accepted values.
  • the signals obtained from this parameter normalization operation are fed to the input of the fuzzification unit 43.
  • the information content of the signals is converted into fuzzy input signals according to fuzzy rules.
  • the fuzzy inference system 45 is applied for making an inference by fuzzy and logical operations, during which the probability of individual signals with maximums falling into a given processible signal group is determined, and the obtained result is applied for prescribing new strategies to be stored in the knowledge base module 47, in the course of which the fuzzy inference rules and inference data are modified corresponding to the results.
  • Defuzzification performed utilizing the defuzzification interface 49 involves converting the output signal of the inference system into numerical signals, based on which it can be determined whether a useful heart sound signal has been found.
  • the values are stored in the input/output MEM3 memory 50 as the result of defuzzification. If the fetal heart sound signal (and its recurrences) could not be found based on the evaluation provided by the fuzzy inference system, then this measurement result is considered as uninterpretable, and the search is restarted.
  • a second output signal is generated by the fuzzy inference system 45, which second output signal is proportional to the amplitude of the fetal heart sound signal and to the noise level caused by other signals considered as disturbance signals from the aspect of the measurement.
  • This second signal is stored in the control MEM2 memory 60, and is also utilized for controlling the amplifier 22 and the filter 25 in a sense that, acting as a control loop, it adjusts the gain of the amplifier to achieve the maximum possible value of the fetal heart sound signal and sets the filter parameters (bandwidth, slope) such that the lowest possible noise level is obtained.
  • the device can be connected to external systems via the modem 80 connected to the input/output MEM3 memory 50, while further data, by way of example, data describing fetal movements, can be entered simultaneously with the measurement via an external data input 90.
  • Fig. 4 illustrates the block diagram of an embodiment of the device according to Fig. 3, implemented, by way of example, in part utilizing a microprocessor.
  • the microprocessor can optionally be implemented as a mobile phone, e.g. as a so- called smartphone capable of data communication and display.
  • the structure of the microprocessor includes any such circuit components and programming capabilities that provide for AID conversion, programmable digital filtering, intermediate data storage, programmable implementation of autocorrelation and of the components of the fuzzy expert system, as well as for writing and fetching data to and from memory units, and connection to a modem.
  • the device has an acoustic sensor 10, to which the amplifier 22 of the programmable amplifier and filter unit 20 and - connected in series therewith - the filter 23 are connected.
  • the output of the filter 23 is connected to the input of the A/D converter of the microprocessor.
  • the microprocessor further comprises the digital filter, the programmable units adapted for performing autocorrelation and the modules of the fuzzy expert system, as well as the intermediate and control memories and the memory adapted for storing measurement results and other data. Further data related to measurements can be entered to the memory through an external data input 90, and the microprocessor can be interfaced to data traffic systems by the modem 80.
  • the acoustic display unit 70 is also connected to the microprocessor.
  • Fig. 5 shows a cross sectional view of the schematic structural arrangement of the acoustic sensor 10. This configuration has maximum sensitivity in the frequency range of fetal heart sounds.
  • the acoustic sensor 10 has a housing 11 comprising an internal space divided into a first chamber 13, a second chamber 16, and a third chamber 19.
  • the chamber 13 is connected with the chamber 16 by a sound conduction opening 14 disposed in the separator wall situated between them. At its side situated opposite the sound conduction opening 14 the chamber 13 is open, while the chamber 13 has a rigid side wall, an edge 12 being formed in the side wall. During use, the edge 12 of the chamber 13 is supported against the maternal abdominal wall, the chamber 13 being closed by the skin surface enclosed by the edge 12.
  • the acoustic sensor 10 is placed on the maternal abdominal wall in a biased (pre-loaded) state, which pressure is generated by a flexible belt, and thereby the enclosed portion of the skin surface acts as a membrane.
  • the external configuration of the chamber 13 and the internal configuration of the chamber 16, together with the acoustic coupling between the chambers provides that the acoustic sensor 10 has the desired frequency characteristics.
  • An electromechanical acoustic transducer 17 is disposed in the chamber 19, with the sensor membrane being disposed in the wall of the chamber 16 situated opposite the sound conduction opening 14.
  • the chamber 16 has rigid side walls. Proper acoustic coupling between the maternal abdominal wall and the electromechanical acoustic transducer 17 is ensured by the volume of the chambers 13 and 16 and the dimensions of the sound conduction opening 14.
  • a respective low-diameter pressure equalization opening 15, 18, opening to the outside air, is disposed in the side wall of the chamber 13 and in the side wall of the chamber 19. These openings are adapted for reducing the damping effect of the air mass brought in motion by the oscillations of the enclosed skin surface.
  • the opening 15 also functions as a high-pass filter adapted for damping maternal heart sounds.
  • the opening 18 is adapted for reducing the effects of the air pocket formed behind the electromechanical acoustic transducer 17, and provides protection against background noises through compensation.
  • the acoustic sensor 10 transduces and provides for further processing a relatively acoustically pre-filtered signal.
  • Fig. 6 a configuration of a conceivable system for examining fetal heart function is shown.
  • the system allows for performing fetal heart sound examining at home, primarily utilizing the device 100, for the verification of the measurements by a physician, and for storing and archiving measurement data and other information.
  • the system comprises one or more devices 100, an interfacing modem 80 for each device 100, as well as a central computer 105 adapted for evaluation and archiving, and one or more computers 107 adapted to be used by treating physicians and/or mobile phones 109 capable of data communication and display, the units being interconnected through an internet network via a data connection carrying bidirectional data traffic.
  • the results measured by the device 100 are sent to a medical evaluation and archiving centre via the modem 80, where the data are evaluated, stored and archived.
  • the treating physician may also perform measurement evaluation and send information to the mother and to the central computer using his/her own computer 107 or mobile phone 109. Thereby detection (measurement), display and measurement evaluation can be temporally and spatially separated from one another.
  • the device carrying out the method and the system implemented applying the device is that, compared to known devices comprising acoustic sensors, it allows for examining and evaluation of fetal heart sounds in an earlier stage of pregnancy (before the last trimester), and, due to the appropriate configuration of the sensor and to the signal processing solution provided by the series connection of the autocorrelation unit and the fuzzy expert system it allows for more accurate and higher-sensitivity fetal heart sound monitoring compared to known devices.
  • a further advantage related to that is that it is capable of carrying out tests without medical supervision, at home, or in telemedicine.
  • Another advantage of the method and device according to the invention is that - in addition to measuring fetal heart rate - symptoms related to other cardiac conditions can also be detected.

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
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  • Heart & Thoracic Surgery (AREA)
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  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
  • Ultra Sonic Daignosis Equipment (AREA)

Abstract

L'invention concerne un procédé pour lequel un signal phonocardiographique, obtenu par un capteur acoustique passif (10) d'une paroi abdominale maternelle, est préfiltré, amplifié, numérisé, filtré numériquement au moyen d'une unité d'amplificateur et de filtre programmable (20), est stocké dans une mémoire intermédiaire et une autocorrélation est effectuée au moyen d'une unité d'autocorrélation (30) dans une fenêtre temporelle d'une taille prédéterminée. Les signaux obtenus après autocorrélation sont transmis à une entrée d'un système expert flou (40), des maxima locaux des signaux, un emplacement temporel des maxima locaux et une variation de l'emplacement temporel des maxima locaux étant déterminés par le système expert flou (40), et, par application de ces derniers en tant que paramètres, ou signaux, d'entrée du système expert flou, ces derniers sont classés dans des groupes de probabilité - à l'aide d'un ensemble de règles floues d'une logique de décision stockée dans une base de connaissances et de données biologiquement attendues - et sont évalués.
PCT/HU2016/000040 2015-06-25 2016-06-23 Procédé et dispositif permettant de déterminer des bruits cardiaques fœtaux par une détection passive et système permettant d'examiner une fonction cardiaque du fœtus Ceased WO2016207672A2 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201680002952.4A CN106793996B (zh) 2015-06-25 2016-06-23 通过无源感测确定胎儿心脏声音的方法和设备及检查胎儿心脏功能的系统

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HU1500298A HU230994B1 (hu) 2015-06-25 2015-06-25 Eljárás és készülék magzati szívhangok passzív érzékelés útján végzett meghatározására, valamint rendszer a magzati szívműködés vizsgálatához
HUP1500298 2015-06-25

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WO2016207672A2 true WO2016207672A2 (fr) 2016-12-29
WO2016207672A3 WO2016207672A3 (fr) 2017-02-02

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Cited By (3)

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Publication number Priority date Publication date Assignee Title
CN108451548A (zh) * 2017-02-22 2018-08-28 深圳市理邦精密仪器股份有限公司 一种胎心音处理方法、装置和一种胎心音检测设备
US10939893B2 (en) 2017-04-10 2021-03-09 Edan Instruments, Inc Doppler fetal heartbeat monitor
WO2021081589A1 (fr) * 2019-10-29 2021-05-06 Respiri Limited Appareil de détection de bruits respiratoires

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Publication number Priority date Publication date Assignee Title
CN109009058B (zh) * 2018-08-22 2021-04-16 音曼（北京）科技有限公司 一种胎心监测方法

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