WO1997022296A1 - Systeme et procede pour le controle des fonctions du systeme nerveux autonome - Google Patents

Systeme et procede pour le controle des fonctions du systeme nerveux autonome Download PDF

Info

Publication number
WO1997022296A1
WO1997022296A1 PCT/CN1995/000097 CN9500097W WO9722296A1 WO 1997022296 A1 WO1997022296 A1 WO 1997022296A1 CN 9500097 W CN9500097 W CN 9500097W WO 9722296 A1 WO9722296 A1 WO 9722296A1
Authority
WO
WIPO (PCT)
Prior art keywords
signal
sympathetic
wave
ecg
nervous system
Prior art date
Application number
PCT/CN1995/000097
Other languages
English (en)
Chinese (zh)
Inventor
Xiangsheng Wang
Original Assignee
Xiangsheng Wang
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xiangsheng Wang filed Critical Xiangsheng Wang
Priority to AU42519/96A priority Critical patent/AU4251996A/en
Priority to PCT/CN1995/000097 priority patent/WO1997022296A1/fr
Publication of WO1997022296A1 publication Critical patent/WO1997022296A1/fr

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/40—Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4029—Detecting, measuring or recording for evaluating the nervous system for evaluating the peripheral nervous systems
    • A61B5/4035—Evaluating the autonomic nervous system
    • 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]
    • A61B5/346—Analysis of electrocardiograms
    • A61B5/349—Detecting specific parameters of the electrocardiograph cycle
    • A61B5/352—Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval

Definitions

  • the present invention relates to a sputum and method for testing human cerebral pedigrees, and more particularly to a function for sympathetic and sympathetic nerves by spectral analysis of heart rate variability The method of detecting and analyzing the status of the sympathetic and sympathetic nerves.
  • the sympathetic nerve center located in the medulla oblongata and the sympathetic side of the fr'iM and its nerve fibers directly control the activity state of the cardiovascular system and some involuntary S officials.
  • patients with excessive sympathetic excitability may have symptoms such as rapid heartbeat, '-sweeing sweat, I diarrhea, facial flushing, and emotional irritability; and those who pay too much sympathetic excitability often have the opposite Braided.
  • 3 ⁇ 4 fx change it subjectively determined to be autonomous species of dysmenorrhea (called autonomic H).
  • autonomic H autonomous species of dysmenorrhea
  • the sympathetic or sympathetic nerves is it strong? It is only by pushing it. This makes the break period prolonged, the cost of the break is expensive, and this is in his: 'Go base ⁇ :[;_ ⁇ ⁇ ' ⁇ - out; t break.
  • People ⁇ ] have realized that the speed of the human heart beating is controlled by the excitability of the sympathetic and sympathetic chanting. Sympathetic nerve excitability, will lead to 'speed faster: and even sympathetic nerve excitability, it will lead to slowing of heart rate. Therefore, the heart rate can be used as a window to detect and judge the functional state of the sympathetic and sympathetic nerves.
  • Heart Rate Variability has become a target of great attention and research.
  • the variability of heart rate (HR V ) is thought to be related to the physiological and rational state of the heart, and is a manifestation of the anti-FL ⁇ ⁇ and the heart disease of the cardiovascular system for internal and external environmental changes. Therefore, the analysis of heart rate variability, especially the analysis techniques developed in recent years, is to evaluate the physiological and pathological state of cardiovascular system, especially
  • the purpose of the present invention is to provide a system and method capable of non-invasively measuring the persuasive state of the human nervous system, and completely changing the complexity of the prior art by complexizing each of the 3 ⁇ 4 3 ⁇ 4 A method of performing exclusion and extrapolation for diagnosis is detected.
  • a system and method for detecting an anesthetic power system by collecting an electrocardiographic signal and analyzing heart rate variability includes an ECG signal storage ⁇ , 4!
  • the electrocardiogram of the subject collected in a certain period of time is stored in the storage I ⁇ , the storage S can be portable or single-chip type, it It may be provided with an infrared emission ⁇ for outputting the stored ECG signal.
  • the system may further comprise an infrared for receiving and passing through the interface circuit, the output ECG signal being sent to the computer for processing Receiver; a microcomputer for performing a perceptual analysis of the ECG signal to obtain a qualitative report of the subject's confession and sympathetic nerves: an output device for printing Test the results of the tiller.
  • the system of the present invention also provides a speech unit and a speaker that can guide the movement of the subject, adjust the different body position, and collect the ECG signal in the state of the sympathetic and/or the sympathetic nervous system. .
  • the basic principle of the present invention is to utilize the difference in body position and respiratory state on the one hand, and the different effects of drugs (not to be administered, administered, and give different drugs) on the other hand, respectively, and to pay sympathetic and I or pay Sympathetic nervous system for stimulation, detection of ⁇ '] heart rate degeneration before and after stimulating - use this window to conduct a table! To analyze the signal control theory, so that you can get sympathetic sympathetic nervous system and pay sympathy The interaction of the system and the conclusion of the functional state.
  • heart rate variability is analyzed using spectral analysis.
  • the first is to extract each R-R interval from the original ECG signal to form an R-R interval sequence.
  • an interval sequence is used, the amplitude value is equal to the R-R interval value, and ⁇ L can be sampled by interpolation method into time interval such as f'r. It has been shown that these two methods are equivalent.
  • % processing can be performed by filtering, interpolation, and the like.
  • ⁇ Quasi-random heart rate variability signal usually approximated as a stationary random over, can be seen as a single density - No white noise W ( n ) excitation of a certain - impulse L is h ( n )
  • Sw, S x are the persuasion rate of input and output respectively
  • H is the frequency characteristic or transfer function of the system. Therefore, it is known that the ruler H(Z) can find the random signal ⁇ Sx(e).
  • (Z) is the parametric model of the random signal.
  • the present invention employs an autoregressive (eight model (referred to as an all-pole model) whose expression is as follows:
  • M is the order of the AR model and can be determined according to certain criteria, such as the MC or FPE criteria and the nature of the it.
  • the parameter a (k) of the AR mode S1 and the white noise spectral density No can be obtained, and then the density of the persuasion rate can be estimated by the following formula:
  • f(t) is used to find the maximum absolute value PK and the two R-R intervals.
  • Count f (t) sequentially. Find the point of PK(n) > (n) and determine whether it is the R wave and the R wave position.
  • the adaptive recursion of the threshold is:
  • the autoregressive (AR) model estimates are performed for each segment of the signal to obtain the AR shuttle parameters.
  • the estimation of the parameters of the AR model includes the estimation of the model coefficients ⁇ , - ⁇ , the estimation of the white noise 'S ⁇ No, and the estimation of the order M of the model, from the time domain to
  • the invention changes the existing means for persuasing the idiopathic physiology of the plant, so that the methods of using the heart rate variability (HRV) for academic use have been studied and clinically completed, and the heart rate variability is once ( HRV) advised the Xin method of language to persuade use -
  • HRV heart rate variability
  • the invention can not only understand the super-potential of heart rate change, but also distinguish the interaction between a certain intersection, the 3 ⁇ 4 nerve and the sympathetic nerve, and change the prior art using the non-inference method of j, and rely on the detection to judge that it is sympathetic Still paying.
  • FIG. 1 is a schematic representation of a plant neurological functional test system according to the invention.
  • 2 is a schematic illustration of one embodiment of a testing process for a system and method in accordance with the present invention.
  • Fig. 3 is a flow chart of a soft gram running in the autonomic nervous system function test system according to the present invention.
  • FIG. 5 is a schematic schematic diagram of the mid-infrared receiver of the system shown in FIG. 1.
  • Figure 6 is a curve in the supine position of the recumbent (i.e., in the sacral section of Figure 2):
  • Figure 7 is a curve in the controlled position of the supine position (i.e., in the B segment of the figure); It is a curve in the standing free breathing state (ie, in the C segment of Figure 2);
  • Figure 9 is the curve in the standing position controlled breathing (ie, in the D segment of Figure 2);
  • 13- 1, 8 is a comparison of the time-domain X-signal and ⁇ -de-dc component of each segment corresponding to Fig. 6 -...12 and the signal of the frequency-sense rate signal S after the AR model transformation ⁇ :
  • FIG. 1 3 is a comparison chart of the X ⁇ ⁇ and the persuasion s signal s in the squat section of the squat free breathing in the experiment compared with the E 6:
  • Figure 14 is a comparison diagram of the X signal and the S signal corresponding to the B segment shown in Figure 7:
  • Figure 15 is a comparison diagram of the X signal and the S signal corresponding to the C segment shown in Figure 8:
  • Figure 16 is the same as Figure 9
  • Fig. 17 is a view showing an X signal and an S signal corresponding to the E segment shown in Fig. 10:
  • Fig. 18 is a F segment shown in Fig. 11
  • Fig. 19 is a three-dimensional graph of four curves A, B, C, and D made by the segment state as the Z axis.
  • Figure 20 is a three-dimensional graph of six curves A, B, C, D, E, and F made with the segmentation state as the Z axis.
  • Fig. 21 is a diagram showing an example of a quantitative conclusion report on the effect of body position on plant persuasion after the calculation of the pedigree analysis in accordance with the present invention.
  • Fig. 22 is a diagram showing an example of a quantitative conclusion report on the effects of the function of the respiratory sputum plant after the analysis of the sputum analysis in accordance with the present invention.
  • FIG. 1 there is shown the principle of perennial, experimental, and f-systems according to the present invention.
  • a single-chip ECG signal acquisition and storage device i 0 is included, and the ECG under different posture states and the same breathing state (Fig. 2) is collected from the subject by a certain ECG lead.
  • the signal is stored in the ECG storage; 11 within. @4 shows the electrical principle H of the ECG signal memory, where: U is the central processing; ⁇ CPU, U2 is, read and store iROM, U3 is the address buffer, U4 is the random memory W ⁇ AM.Uo For analog-to-digital conversion ⁇ !: A/1, U6 is the line driver ⁇ , L; 7 is the binary input into the NOR gate.
  • U8 is the ECG signal amplified by four operational amplifiers.
  • ULEAD is the ECG signal input terminal. .
  • the ECG signal collected through this end passes through the ECG amplifier, and is sent to the A/D converter ⁇ 5, sent to the CPU (U1) for processing, and stored in the random storage S (RAM M and 'port, read and save Storage: (ROM) U2.
  • a 15-minute ECG signal is acquired and stored.
  • LS 2 because the supine ⁇ position and the controlled breathing faster than the free-style breathing rate are separately stimulating: Concealed nerves. Standing and free breathing stimulate the sympathetic nerves, respectively.
  • the present invention-Hf 15 minutes is divided into four stages of different sympathetic and/or paying, and the 3 ⁇ 4 nervous system is stimulated differently: in the first period of time A, the person who is a long time takes a flat sleep ⁇ (stimulation) Pay Sensory nerve) free breathing (stimulation of sympathetic nerves); in the second period of time B, the subject's position is still supine (stimulation pays the nerve), but changed to controlled breathing, that is, given a fast by the speech unit Exercising under the guidance of free-breathing beats (stimulation and sympathetic nerves): In the third period of time C, the subject's position changed from supine to standing (stimulating sympathetic nerves), free-style breathing (stimulating sympathetic nerves) The fourth period of time D is the controlled breathing of the subject (stimulation of sympathetic nerves) (stimulation of sympathetic nerves).
  • the segment is 3 minutes: the ⁇ segment is 4 minutes: the C segment is 4 minutes and the signal in the first minute is the signal during the change from the supine position to the standing position. Special treatment; D segment is also 4 minutes.
  • the stored electrocardiographic signal is transmitted to the microcomputer 23 via an infrared emission ⁇ 12 (see Fig. 1).
  • the microcomputer 23 is connected to the infrared receiver 21 via the interface 22, and further receives the electrocardiographic signals (tX, G) received by the infrared receiver 21.
  • FIG 5 shows the principle S of an infrared receiver 21 that can be used in the system of the present invention.
  • the signal received by the infrared receiving tube D1 is operated and amplified by the operational amplifier IC1, and is compared by the comparison of !!!: IC2 is inverted by the phase If IC3, and then output by the line cloud force ⁇ 1C, which is output.
  • S], S2, and S3 are sockets.
  • the signal transmission at this time can be used to connect the driver chip to the string of the microcomputer ( ⁇ communication interface.
  • the language unit and the speaker can also be combined with the finger-type ECG signal set and storage device 10.
  • the microcomputer 23 may include a voice card, a multifunction card, a display card hard disk, a floppy disk drive, a main board, a power source, and the like. 24 also has an output device for analysis and hooking the S signal when in the different sections of the city and urban signal X (see FIG. (! - FIG. 22) ⁇
  • Figure 3 shows the software processing of the ECG i number, the persuasion analysis, and the quantitative results of the neural and sympathetic neural system.
  • the obtained R-R interval time domain signal is divided into Jt and preprocessed in step S13. That is, according to the segment shown in Fig. 2 (A, B, C, D and the E-station representing the entire supine position and the F-segment representing the entire standing position), the obtained R-R interval time signal (R wave) The sequence signal is intercepted and processed.
  • the R-wave signal that is divided in each segment is called the X signal, which is the segmented R-R interval time domain signal.
  • Figures 16-18 are R-R interval waveforms recorded in a control experiment performed when no drug was administered to the subject.
  • Figure 18 is the entire R-R interval waveform
  • Figure 16-7] is the R-R interval waveform of A, B, C, D, h;
  • ⁇ represents an unadministered experiment.
  • ⁇ 17 f indicates "XB1200 ⁇ " indicates that the curve is a squat section, ie, a flat squat, a control h'n, and a table gives 3 ⁇ 4 ⁇ ⁇ ).
  • the " ⁇ 1200 ⁇ " marked in the middle represents the song as li rt -'pf 1. Uncontrolled squatting experiment of supine free breathing plus controlled breathing, etc.
  • step S21 After the above analysis processing is performed on the R--R interval, the processing proceeds from step S21.
  • the regression (AR) model is used for ⁇ estimation.
  • Sw S are the persuasion rates of the input and output, respectively, and H is the frequency-semi-characteristic or transfer function of the system.
  • H(Z) is known, and the random signal is good for SxW', and H (Z) is a parametric model of random apostrophes.
  • the autoregressive (AR) model nicknames the all-pole model, and its expression is as follows:
  • f is the o frequency (Hz) and At is the sampling interval.
  • the estimation of the AR model parameters includes: model parameters. ., ⁇ ⁇ ⁇ Density No . and ' ⁇ 3 ⁇ 4! Order M
  • the method of counting is not one or one, here?
  • the program used in the program is not one or one, here?
  • the sum of the front and back prediction errors e, is the minimum
  • R M is required , and the method of linear algebra can be used to find the AR mode parameter from (9).
  • the calculation amount is large, and the Hermit and the anti-Ermite characteristics of the R M matrix are used here to derive.
  • Equation (20) has the same form as the Levinson iteration, from which the AR ⁇ parameter and the white noise spectral density No can be obtained.
  • model order M Another key issue in model parameter estimation is the choice of model order M, which is an important but unresolved problem. If the order is too low, what is the estimated estimate? The peaks of existence are blurred; the order is too high, and false details are produced. In the procedure of the present invention, the inventors have repeatedly tested, calculated, compared, and concluded that the order of the information theory criterion can be satisfied between the 11th and 19th steps, and the result of 7 A is obtained.
  • the criterion of the information theory referred to herein is : d (M+l)
  • f is the frequency (Hz) and At is the sampling interval.
  • 13 to 18 show the ratios of the X signal waveforms of an unadministered control experiment and the corresponding S signal curves of the respective segments obtained after the above AR model transformation.
  • 13 is the work half density corresponding to the stage A of the subject's free breathing
  • FIG. 14 is the density of the persuasion rate corresponding to the stage B of the subject's controlled position breathing
  • FIG. 15 corresponds to The persuasion rate of the stage C in which the subject takes a free breathing
  • 3 ⁇ 4 16 is the persuasion rate corresponding to the stage D of the subject taking controlled breathing
  • Figure 17 is the subject.
  • Figure 18 is the stage corresponding to the free breathing and controlled call of the standing type.
  • step S23 each feature value is calculated based on the above-described rate ⁇ density result.
  • a conclusion report as shown in Fig. 21 and 22 is given for the doctor to use as a basis for diagnosis.
  • the meanings of the symbols used in the tables and in the various curves are as follows:
  • VAR1 (sometimes labeled V) - R-R interval mean square error (ms 2 )
  • the present invention also makes the segmentation rate as a Z-axis by segmentation? If density comparison chart.
  • the excitability of the sympathetic and sympathetic nerves under various stimuli can be clearly and intuitively observed.
  • the first set of peaks of the curve shows the total activity of the sympathetic and sympathetic nerves
  • the second set of peaks is the intensity of the sympathetic nerves when excited alone. This provides the doctor with a direct report and report on the patient's autonomic sensational state and the sympathetic and sympathetic interactions.
  • the above various processing devices and processes can be performed by a computer software program, and in the present invention, an application software that is particularly suitable for use in the plant neuron stimulation test system of the present invention is provided.
  • Experiment 2 Injecting atropine to stimulate the excitability of the sympathetic system: Experiment 3: Taking propranolol to stimulate the sympathetic nervous system
  • Table 1 shows the statistical results of the effects of postural motion and drug on R-R interval variability in 20 trials.
  • the meanings of the alphabetic symbols used here and / in the continuation table are the same as those mentioned above.
  • the asterisk before the asterisk indicates the ratio of A/B, C/D (free breathing zone / controlled breathing zone) 4i: the triangle after the data indicates the second (administration of atropine), the first 3 (administration of Xinde Ning) ⁇ 4 (simultaneous administration of atropine and Xin De Ning) and the ratio of the control experiment K not administered) 4.
  • One of the asterisks "'” indicates P ⁇ 0.05: two stars No. ' ⁇ :' - "Expression I) 0.01: Three, asterisk "* -X" means P ⁇ 0.001, which indicates significant specificity.
  • the center frequency of the high frequency component is consistent with the respiratory rate.
  • the effect of ' ⁇ free breathing and controlled breathing (20 times / min, ie 0.33 Hz) on heart rate ⁇ was compared.
  • the controlled breathing causes the center frequency of the high frequency component to be 0.22 ⁇
  • the study of heart rate under drug conditions is to confirm the specificity of the heart rate spectrum, the reflection of the systemic activity of the 3 ⁇ 4 nerves, the sympathetic sympathetic system, and the sensitivity of this analysis method to changes in sympathetic and sympathetic activities.
  • heart rate spectrum changes far more than ⁇ tachycardia Therefore, through the study of heart rate ⁇ , it provides an effective means for the classification of clinical diagnosis, the prediction of disease and the observation of curative effect, especially the evaluation of the autonomic nervous system of patients with heart disease.

Abstract

Système et procédé pour le contrôle des fonctions du système nerveux autonome de l'organisme humain. Le procédé consiste à stimuler le système nerveux sympathique ou le système nerveux parasympathique; à analyser par sections l'onde R du signal E.C.G. en fonction des différentes stimulations; et à effectuer une analyse spectrale de puissance à l'aide d'un modèle autorégressif (AR) afin d'obtenir un résultat d'analyse quantitative de la différence d'intensité de l'excitabilité entre le système nerveux sympathique et le système nerveux parasympathique de l'organisme contrôlé.
PCT/CN1995/000097 1995-12-18 1995-12-18 Systeme et procede pour le controle des fonctions du systeme nerveux autonome WO1997022296A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
AU42519/96A AU4251996A (en) 1995-12-18 1995-12-18 System and method for testing the function of the autonomic nervous system
PCT/CN1995/000097 WO1997022296A1 (fr) 1995-12-18 1995-12-18 Systeme et procede pour le controle des fonctions du systeme nerveux autonome

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN1995/000097 WO1997022296A1 (fr) 1995-12-18 1995-12-18 Systeme et procede pour le controle des fonctions du systeme nerveux autonome

Publications (1)

Publication Number Publication Date
WO1997022296A1 true WO1997022296A1 (fr) 1997-06-26

Family

ID=4574947

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN1995/000097 WO1997022296A1 (fr) 1995-12-18 1995-12-18 Systeme et procede pour le controle des fonctions du systeme nerveux autonome

Country Status (2)

Country Link
AU (1) AU4251996A (fr)
WO (1) WO1997022296A1 (fr)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2504086C1 (ru) * 2009-11-19 2014-01-10 Телефонактиеболагет Л М Эрикссон (Пабл) Конфигурация сети синхронизации
CN109492707A (zh) * 2018-11-28 2019-03-19 武汉轻工大学 光谱分析模型的构建方法、装置、设备及存储介质

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0256887A2 (fr) * 1986-08-18 1988-02-24 Massachusetts Institute Of Technology Une méthode de characterisation de la réponse dynamique du ANS.
US5291400A (en) * 1992-04-09 1994-03-01 Spacelabs Medical, Inc. System for heart rate variability analysis
CN2164792Y (zh) * 1993-06-04 1994-05-18 上海医科大学 心率变异性频谱分析仪
US5419338A (en) * 1994-02-22 1995-05-30 City Of Hope Autonomic nervous system testing by bi-variate spectral analysis of heart period and QT interval variability
US5437285A (en) * 1991-02-20 1995-08-01 Georgetown University Method and apparatus for prediction of sudden cardiac death by simultaneous assessment of autonomic function and cardiac electrical stability
WO1995028128A1 (fr) * 1994-04-14 1995-10-26 Xiangsheng Wang Systeme portatif de faibles dimensions et procede de protection cardiaque
CN1113739A (zh) * 1994-06-23 1995-12-27 王湘生 植物神经系统功能测试系统及其方法

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0256887A2 (fr) * 1986-08-18 1988-02-24 Massachusetts Institute Of Technology Une méthode de characterisation de la réponse dynamique du ANS.
US5437285A (en) * 1991-02-20 1995-08-01 Georgetown University Method and apparatus for prediction of sudden cardiac death by simultaneous assessment of autonomic function and cardiac electrical stability
US5291400A (en) * 1992-04-09 1994-03-01 Spacelabs Medical, Inc. System for heart rate variability analysis
CN2164792Y (zh) * 1993-06-04 1994-05-18 上海医科大学 心率变异性频谱分析仪
US5419338A (en) * 1994-02-22 1995-05-30 City Of Hope Autonomic nervous system testing by bi-variate spectral analysis of heart period and QT interval variability
WO1995028128A1 (fr) * 1994-04-14 1995-10-26 Xiangsheng Wang Systeme portatif de faibles dimensions et procede de protection cardiaque
CN1113739A (zh) * 1994-06-23 1995-12-27 王湘生 植物神经系统功能测试系统及其方法

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2504086C1 (ru) * 2009-11-19 2014-01-10 Телефонактиеболагет Л М Эрикссон (Пабл) Конфигурация сети синхронизации
CN109492707A (zh) * 2018-11-28 2019-03-19 武汉轻工大学 光谱分析模型的构建方法、装置、设备及存储介质
CN109492707B (zh) * 2018-11-28 2020-10-23 武汉轻工大学 光谱分析模型的构建方法、装置、设备及存储介质

Also Published As

Publication number Publication date
AU4251996A (en) 1997-07-14

Similar Documents

Publication Publication Date Title
CN105147248B (zh) 基于生理信息的抑郁症评估系统及其评估方法
Chan et al. Wavelet distance measure for person identification using electrocardiograms
CN104173043B (zh) 一种适合于移动平台的心电数据分析方法
EP1495715B1 (fr) Appareil et méthode basé sur la combinaison de trois signaux physiologiques afin d' évaluer l' analgésie pendant une anesthésie or une sedation
US7862515B2 (en) Apparatus for detecting sleep apnea using electrocardiogram signals
US7225013B2 (en) Adaptive prediction of changes of physiological/pathological states using processing of biomedical signals
US8211015B2 (en) Obstetric analgesia system
US8290577B2 (en) Methods and apparatus for enhanced fiducial point determination and non-invasive hemodynamic parameter determination
US20140180036A1 (en) Device and method for predicting and preventing obstructive sleep apnea (osa) episodes
EP2085025B1 (fr) Appareil de mesure d'activité nerveuse automatique et procédé de mesure d'activité nerveuse autonomique
CN104321013A (zh) 用于基于ecg信号来提供睡眠质量的视觉表示的方法和装置
CN109788933B (zh) 利用超声监测气管内气流的系统和方法
EP1639497B1 (fr) Procede et appareil pour extraire des informations causales d'une serie chronologique chaotique
US8352020B2 (en) Method for processing a series of cardiac rhythm signals (RR) and the use thereof for analysing a cardiac rhythm variability, in particular for assessing a patient's pain or stress
CN103892812A (zh) 匹配度分析技术
EP3518757A1 (fr) Surveillance de signaux biologiques, en particulier d'électrocardiogrammes
WO2017027232A1 (fr) Système et procédé de surveillance de l'activité sympathique et parasympathique par celle des battements du cœur
US20030135126A1 (en) Detector for measuring electrocardiogram, pulse and voice sound at the same time
US7549959B2 (en) Stimulation arrangement for measurement of physiological signal reactivity
DE102009033829A1 (de) Verfahren und Vorrichtung zum berührungslosen Herz-, Kreislauf- und Atmungsmonitoring
Reilly et al. Respiratory sinus arrhythmia during speech production
US20200107989A1 (en) System and method of noninvasive blood flow measurement during cardiopulmonary resuscitation using signal gating
WO1997022296A1 (fr) Systeme et procede pour le controle des fonctions du systeme nerveux autonome
EP4327743A1 (fr) Système d'estimation d'état de sommeil
JP2006130121A (ja) 生体情報に基づく感情認識方法

Legal Events

Date Code Title Description
AK Designated states

Kind code of ref document: A1

Designated state(s): AM AT AU BB BG BR BY CA CZ DE DK EE ES FI GB GE HU IS JP KE KG KP KR KZ LK LR LT LU LV MD MG MN MW MX NO NZ PL PT RO RU SD SE SG SI SK TJ TM TT UA UG US UZ VN

AL Designated countries for regional patents

Kind code of ref document: A1

Designated state(s): KE LS MW SD SZ UG AT BE CH DE DK ES FR GB GR IE IT LU MC NL PT SE BF BJ CF CG CI CM GA GN ML MR NE SN TD TG

DFPE Request for preliminary examination filed prior to expiration of 19th month from priority date (pct application filed before 20040101)
121 Ep: the epo has been informed by wipo that ep was designated in this application
122 Ep: pct application non-entry in european phase
NENP Non-entry into the national phase

Ref country code: JP

Ref document number: 97522393

Format of ref document f/p: F

REG Reference to national code

Ref country code: DE

Ref legal event code: 8642