TWI446894B - Mapping analysis system for physiological signals, analyzing method, mapping establishing method, and its related information medium - Google Patents

Description

Physiological signal map analysis system, method, map establishment method and its media

The disclosure relates to a physiological signal mapping analysis system, method, map establishment method and medium thereof, in particular to a physiological signal mapping analysis system and an analysis method for constructing a systemic functional map by analyzing human physiological signals.

Many diseases can capture and interpret physiological signals through instant sensing components (or sensors) in clinical medicine and medical testing processes. Such traditional testing procedures and judgment results have been widely used, but in clinical medicine. On, it can only be limited to the initial assessment of physiological information at the time for preliminary assessment.

The prior art can be referred to US Patent No. 6936012 (Announcement Date: August 30, 2005), which discloses a technique for determining the composition of a physiological signal, by which the measured surface physiology can be extracted and separated. The electrical signal and the noise mixed in the signal can produce meaningful physiological signals.

With the advancement of technology, it has been possible to extract and store physiological signals in the medium and long term to estimate the corresponding relationship with physiological conditions at different times. However, for these clinical developments, it is still not possible to fully understand the location of the path of the original excited organ or source organ that causes abnormal physiological state reactions, that is, the disease cannot be clearly known. The anatomical position and its function are turned.

The above problems have developed and broken through the well-known techniques in the field of clinical radiology, for example, Orthotopic computed tomography (PET/CT) examination; in the physiological electrical signal, there are electroencephalography (EEG) combined with brain mapping. Check the brain activity area. Reference may be made to the brainwave signal classification method disclosed by the Republic of China Patent No. I274269 and the human-machine control system and method driven by the brain wave signal (Announcement Date: 2007/02/21), which uses a human-machine control system to first analyze the amount The brain wave signal component is obtained, and the brain wave signal is decomposed into mutually unrelated components to estimate the spatial coordinate distribution and time change information of each component source. By comparing the spatial coordinate distribution of each component source and its correspondence with the time-varying information of each component, and comparing with the model database, it can define a meaningful event in the brain wave signal of the subject.

In the clinical value of the above-mentioned positron computed tomography, it is the Positron Emission Tomography (PET) examination and the Computed Tomography (CT), which can detect the function of the organ. It can also accurately locate the organ to provide more diagnostic information for medical personnel.

However, from the medical value to the clinical application, the application of PET/CT is limited by the space and layout limitation of the integration of large medical instruments. The brain wave map is limited to the spatial positioning of the brain and cannot be widely applied to human body. This functional and structural concept has not been applied for immediate medical diagnosis. That is to say, in the current practical application, it is still impossible to realize the medical environment in which the concept needs to be quickly and efficiently screened for health in the first line.

In order to be able to screen for rapid and efficient health status on the first line, this book presents a system of physiological signal mapping analysis methods, methods, map establishment methods and media for systemic function and structure, which is a set of integrated functionalities. Analytical information system with structural (anatomical position) systemic function and structure, can be applied in any medical environment, in addition to improving the diagnostic accuracy, the patient can be properly medically disposed in the shortest time, Helps to improve medical quality and promote the development of the medical field.

Among them, the physiological signal mapping analysis system and related analysis methods are proposed to solve the practical problems in the clinical medical instrument development process and the application of radiological examination, and determine the body surface through the integration of functional and structural systemic mapping analysis. The relationship between the electrical signal and the space of the body.

According to an embodiment, the physiological signal mapping system mainly comprises a physiological signal acquisition module, a physiological signal analysis module and a spatial positioning module. In particular, the physiological signal acquisition module is used to extract the electrical signal transmitted by the living body, and the physiological signal is obtained by pre-processing; and the physiological signal analysis module is used to screen out the useful physiological signal. The analysis method obtains the characteristic values of the physiological signals, in particular, the independent vector analysis (ICA) and the normalized partial least squares method (PRLS), and analyzes and confirms the signal source corresponding to the specific part; and corresponding to the spatial positioning module The physiological signal corresponds to a stereo image to form a signal map.

In terms of circuits, the physiological signal mapping system mainly includes a system control unit for each circuit module in the communication system, a physiological signal acquisition module for capturing a potential signal sensed by the living body, and performing analysis to obtain a potential signal. A signal analysis module for eigenvalues, and a spatial locating module for mapping feature values to a stereoscopic space. Others include a signal output module with an output signal, a storage module for temporarily storing signals, and a communication module for transmitting signals. After receiving the potential signal, the feedback control module will generate a feedback control signal to the system control unit to control the operation of the physiological signal mapping analysis system.

Applying the operation of each module of the physiological signal mapping analysis system, the analysis method comprises: first extracting the physiological signal of the living body, and analyzing the characteristic value of the physiological signal, and then introducing a signal map, corresponding features The value and the physiological signal are mapped to the stereo space after performing spatial positioning.

The physiological signal mapping method includes receiving the physiological potential signal first, and using the independent vector analysis to obtain a deconstruction procedure of the physiological potential of each organ in the living body, and then using the normalized partial least square method to analyze to obtain the physiological The position of each organ of the organism corresponding to the potential signal, and finally a signal map is established by judging the position of each organ.

The analysis method performed by the above system includes a physiological signal mapping analysis method and a physiological signal mapping method, wherein the instruction and related software modules are stored in an information medium, such as a non-volatile memory such as a hard disk, a flash disk, or a compact disk. In the media.

The solution proposed in this disclosure mainly combines the immediate systemic physiological signal measurement, uses ICA and PRLS analysis to carry out component analysis, and pushes back the original stimulating organ that generates the message, and constructs a physiological signal map analysis of systemic function and structure. The judgment information system can be spread to various medical classes across time and space, and can be applied to assess the health status of individuals.

The detailed description of the present invention and the accompanying drawings are to be understood by the claims The scope is subject to any restrictions.

The present disclosure proposes a physiological signal mapping system, method, map establishment method and media for systemic function and structure. Compared with general health examination and medical diagnosis, the system and related methods can be performed quickly on the first line. Effective health status screening is a set of mapping analysis systems and methods that integrate functional and structural (anatomical position) systemic functions and structures, which can be applied to any medical environment to improve the accuracy of medical staff. Allow patients to get the right medical treatment in the shortest possible time.

In the physiological signal mapping analysis system provided by the disclosure, the physiological signals generated by biological (especially human) neurosignal transmission are mainly used, and the signals are mainly divided into chemical signals and electrical signals, and the organs are used when the signals are transmitted. The electrical signal pattern is transmitted, and different organs have their own characteristic physiological potentials. When a symptom occurs, this characteristic physiological potential will change. Accordingly, the physiological signal mapping analysis system, method, and map establishment method proposed by the disclosure specifically utilizes independent vector analysis (ICA) to deconstruct the surface physiological potential of the living body (especially the human body), and then deconstruct the physiological potentials of the various organs, and then use the regular The partial least squares method (PRLS) is used to remove the lesions of the organ. After that, the auxiliary clinician can know the functional and structural changes of the biological organs from the surface potential, thereby establishing a signal map to provide a simple, energy-saving, carbon-free, radiation-free clinical diagnosis method for medical personnel.

In particular, for patients who need medical care and monitoring for a long time, the physiological signal mapping analysis system and analysis method proposed in this disclosure can self-evaluate the health status from subtle physiological changes, and can be discovered early. Instant medical treatment, more accurate early diagnosis and treatment, to achieve the purpose of preventive medical treatment.

The techniques of the embodiments described in this disclosure can enhance the diagnostic benefit in a medical environment in which organ pathology or the location of a disease source can be known only through simple physiological signal measurements, providing an important basis for medical personnel to perform medical activities. It can also reduce misjudgments and reduce disputes.

It should be noted that the analysis system and method proposed in the disclosure specifically refers to analysis methods such as independent vector analysis and normalized partial least squares method to extract signal features, wherein the main function is to reduce the data dimension and keep the low. The main features of the dimension, omitting the high-dimensional detail, make feature extraction more efficient and feasible.

Techniques for performing component analysis by means of an independent vector analysis (ICA) in combination with an electrocardiographic signal (ECG) can be found in the disclosure of US Patent Publication No. 2009/0209874 (published on Aug. 20, 2009). Published in the patent publication of July 31, 2008).

The commonly used Partial Least Squares (PLS) method is used in statistics, chemical dosimetry and graphic recognition. Some of the least squares methods establish the relationship between the variables and the dependent variables when the model is built. Therefore, the model is suitable for the prediction of the second stage, and the normalized part used in this disclosure. The least squares method (PRLS) solves the problem of over-fitting in the original partial least squares method. Therefore, using PRLS can indeed create a model that can explain the characteristics of the data, and the number of parameters required is also Less, can reduce the amount of calculations, reduce the time required for the operation.

The basic concept of the physiological signal mapping analysis system described in the disclosure can be referred to the physiological signal acquisition and analysis diagram of the physiological signal mapping analysis system proposed in the application of the present disclosure.

The systems and methods described in this disclosure are not limited to application to the human body, but can be applied to other organisms. The figure shows a human body 1. The physiological signals of specific organs are read through the instrument. For example, the brain wave 101 is read by a computer tomography, a brain wave sensor, etc. The brain wave 101 is provided by the physiological signal mapping system in the disclosure. The physiological signal acquisition and analysis means 10 performs the extraction and analysis to generate the electroencephalogram 101'; similarly, the electroencephalogram 103 is read through the physiological signal acquisition and analysis means 10, and the ocular wave map 103 is generated through analysis. '; through the physiological signal acquisition and analysis means 10 to extract the ECG 105, after analysis to generate ECG map 105'; gastric wave 107 after physiological signal acquisition and analysis means 10 read, after analysis can produce a gastric wave map 107'.

According to the concept of Fig. 1, the physiological signal mapping system can integrate the corresponding physiological signal measurement according to the physiological characteristics of various parts of the body, deconstruct the characteristics of the time domain and the frequency domain, and establish a functional-based functional map.

Figure 2 further shows that the features expressed by the body surface electrical signals of the human body can correspond to specific parts of the body. The human body 2 is displayed. In order to obtain information for diagnosis through the electrical signals generated by the body, the physiological signal mapping system of the disclosure specifically establishes a functional signal map related to systemic function and structure, thereby taking a map. Corresponding to the physiological signals taken afterwards, the information and symptoms required for the diagnosis can be obtained. The physiological signal map analysis and judgment information system is mainly divided into three parts: a physiological signal acquisition module 21, a physiological signal analysis module 23 and a spatial positioning module 25.

According to clinical requirements, the physiological signal mapping system can extract signals from specific parts of the organism, such as physiological signals captured by the physiological signal acquisition module 21 to capture different parts. Then, the physiological signal analysis module 23 can analyze the signal source of different parts according to the organ trait and its characteristic physiological potential. Then, the spatial positioning module 25 in the system presents the functional map, and the physiological signal and the analysis result are aligned, so that the signal information can correspond to the organ that causes the message. In particular, the signals generated by the various parts of the body have their characteristic values. Compared with the maps established beforehand, the images can be restored to produce a stereoscopic view of the organs. After being displayed, the medical personnel can trigger the points through the accurately positioned information. Get the right diagnosis.

Since the human organs are transmitted in the telegraph mode during the message transmission, the physiological signal mapping system of the different organs has its characteristic physiological potential. The physiological signal acquisition module 21 is used to capture various instruments and equipment. The collected physiological signals of the whole body are subjected to a pre-processing to obtain physiological signals. In actual operation, the physiological signal acquisition module 21 multi-channel captures physiological signals, and uses pre-processing to promote signal integrity, mainly for reducing noise.

Then, the useful signal is filtered through the physiological signal analysis module 23 in the system, and local signal analysis is performed. Since the various physiological signals received are rather messy, screening is required to confirm the source of different body surface potentials, in particular, to identify the source of the signal corresponding to a particular site, including specific organs or parts, for component analysis.

Then, in the spatial positioning module 25, combined with the radiographic technology, the physiological signal source is corresponding to the stereoscopic image to form an physiological signal map with both anatomy and functionality. After spatial localization, the system is preferably presented in the form of a functional map, and the physiological signal and the analysis result are aligned, so that the signal information corresponds to the organ that caused the message.

The following is an example of an electroencephalogram signal (EEG) and an electrocardiogram (ECG) to illustrate the operation of the physiological signal mapping system proposed in the present disclosure. In the system, the physiological signal acquisition module 21 receives the brain potential signal from the brain 201, and then captures it by the physiological signal acquisition module 21, in particular, the brain wave signal acquisition module 211 shown in the figure. The signal generated afterwards is analyzed by the physiological signal analysis module 23, and in particular, the brain wave signal analysis module 231 for performing analysis of the brain wave is spatially positioned by the body part corresponding to the physiological characteristic, as shown in the figure. The positioning module 25, in particular, the brainwave spatial positioning module 251.

In another example, the heart 203 is used as an example. The device for scanning the heart 203 can also be used to detect the weak current generated by the contraction and expansion of the heart, and generate a surface electrical signal, which is captured by the physiological signal. Take, in particular, the ECG signal capture module 213 for capture. Next, the signal analysis is performed by the physiological signal analysis module 23, in particular, the ECG signal analysis module 233 shown in the figure. The ECG spatial positioning module 255 then spatially locates the heart signal features and the analyzed ECG signals.

Before the physiological signal mapping system performs the signal acquisition and analysis steps for the diagnosis and treatment, a signal map should be established, as shown in FIG. 3, the method flow for establishing the signal map.

Beginning in step S301, the physiological (body surface) potential signals generated by the various detectors and the inductive instrument are first received, and then the deconstruction process is performed (step S303). In this case, the destructor uses independent component analysis (ICA, 31) and cites the characteristic physiological potential information (33) to deconstruct the physiological potential of the body surface and then deconstruct the signals from each organ. Position, the physiological potential of each organ is obtained (step S305).

Thereafter, in step S307, the analysis is performed by the partial regularized Least Squares (PRLS, 35), and it is found that each physiological potential signal corresponds to each part in the living body (step S309). In practice, this step helps the system to directly determine the location of the lesion by means of mapping. Finally, according to the analysis and judgment of the signal, in step S311, a signal map is established by the signals of the determined positions. Therefore, relevant medical personnel can determine the functional and structural changes of biological organs by comparing physiological signals with this signal map to assist clinical diagnosis.

The above deconstruction method specifically integrates the advantages of independent vector analysis (ICA) and normalized partial least squares (PRLS). Independent vector analysis is a widely used method for analyzing Blind source separation. The assumption is based on stable conditions. However, during the measurement of physiological signals, it was found that the physiological characteristics of the original stimulating organs, that is, the time variability of active and inactive, affect the presentation of physiological signals. That is to say, independent vector analysis has physiological limitations on analyzing physiological signals. Therefore, the method proposed by the present disclosure utilizes the normalized partial least squares method to simultaneously analyze two or more signal variables, and can instantly estimate the excitation state of the unstable signal, so that the physiological signal system provides a more effective signal. seperate effect.

The method for establishing a signal map in the above physiological signal mapping system mainly includes extracting sufficient physiological signals through the device (for example, through a physiological signal acquisition module), analyzing signals (analysing modules) corresponding to signal features and signals, and constructing a stereoscopic image. For the spatial positioning (spatial positioning module) and other processes, the steps of establishing a signal map disclosed in FIG. 4 can be described.

The signal source may include sensors and scanners of various physiological signals, and the original physiological signals are systematically measured (step S401), and the original signals need to be subjected to signal analysis and extraction of component sources, that is, through screening and pre-processing. The information, such as step S403, is processed by the software or related firmware in the system, and is filtered to select a meaningful measurement channel. Then, a pre-processing routine (step S405) is executed, including noise cancellation, signal distribution correction, and the like.

After the signal is captured, the system then analyzes it by software or firmware, especially as described above using statistical methods such as vector analysis and normalized partial least squares methods, including the execution time and spatial distribution described in the figure. Conversion (step S407). Among them, after calculating the spatial distribution and time-varying information of each component in the physiological signal, the characteristics of the time domain and the frequency domain will be deconstructed, and the time spectrum analysis operation will be performed, and all parts of the body will be received from all positions in the living body. The received signal performs this spectrum analysis operation, and the conversion time signal is a frequency signal.

In step S409, the signal is bandpass filtered to filter out the signal of the specific frequency range to obtain the signal within the frequency required by the system. After the signal is filtered, converted and filtered, the system will obtain the selected components (step S411), and then convert the input signals into the same polarity through the rectifying step (step S413), and the smoothing step (step S415) eliminates the mess. The signal finally obtains a waveform signal distributed over time (step S417).

After that, the system maps the waveform signal obtained by the steps of rectification, smoothing, etc. to a specific space, including step S419, according to the source analysis of the signal sensing or scanning, especially after a modeling process, by sufficient physiology The signal is constructed by a normalized partial least squares method (PRLS) and a regular independent component analysis (RICA) algorithm to construct a three-dimensional model, and correspondingly demodulate the signal features in the time domain and the frequency domain. The signal can be mapped to a space (step S419), and then the physiological signal mapping system can integrate the characteristic values of the corresponding physiological signals according to the physiological characteristics of the body part to establish a structural-based functional map (step S421). ). The operator can repeatedly operate the above steps to build a template database of the map, which may include a multi-degree (N) spatial plane or a stereoscopic map constructed by the systemic anatomical image, showing the position and anatomy of each organ to facilitate the space. Positioning.

When the physiological signal mapping system measures the original physiological signal, and selects the required measurement channel and removes the noise, it can obtain appropriate signals that can be processed, and then convert, filter, rectify, smooth, etc. through time and space distribution. The time waveform is obtained, and finally, the functional map corresponding to the spatial position is obtained after mapping, and the map which can be displayed through the stereoscopic display can be displayed on the relevant personnel.

Subsequent medical behavior can result in instant and meaningful physiological images. Such displayed devices may receive signals by wireless or wired means, including electronic devices having display screens, such as displays, projection displays, computer systems, digital multimedia devices, mobile communication devices, various home appliances, and the like.

FIG. 5 illustrates the operation flow of the signal map established by using the foregoing method. In actual implementation, when the physiological signal map analysis system receives the physiological signal of the lesion, the map position analysis can be used to obtain the signal position.

The process includes, as in step S501, the physiological signal mapping system extracts physiological signals of a specific organism or a human body (such as a patient) through various sensors and scanners, and this step requires obtaining sufficient signals for effective analysis.

After the signal analysis, the removal of the noise, and the filtering step, the corresponding feature value of the living body or the human body is obtained from the signal (step S503), wherein the established signal map (51) is introduced, thereby corresponding to the signal characteristic value and the physiological signal. (Step S505), in particular, is to compare the spatial distribution of the source of each component in the physiological signal and the correspondence to the time-varying information. In this example, the eigenvalue is obtained by decomposing the physiological signal into a plurality of independent components that are not related to each other, and decomposing the physiological signal by an analytical method such as Principal Component Analysis (PCA). During the analysis process, after decomposing the independent components that are not related in the physiological signal, the system will then exclude the components that are beyond the spatial distribution of the source and the time-variation information, so as to facilitate the efficiency and correctness of the subsequent analysis steps. After that, the method will exclude the non-corresponding components, then obtain a selected component and calculate the relevant component waveform. The associated component waveforms are compared to a pre-built template database to define whether a predetermined meaningful event occurs, wherein the database stores at least one corresponding physiological signal waveform, including the source of the selected component. The spatial distribution pattern is compared with the functional distribution map (as shown in Figure 4) to confirm whether it is consistent.

The embodiment will introduce a three-dimensional model of the various parts of the organism, such as human organs (53). After the signal feature extraction and localization, a spatial localization process is performed (step 507), and the analyzed feature value is linked with the physiological signal characteristic, and the organ position is mapped to the living body, and the result of the positioning is output (step S509). ).

For example, as shown in the embodiment shown in FIG. 6, the physiological signal mapping analysis system and method disclosed in the disclosure are applied, and the position of the signal is obtained by using the signal spectrum analysis, as shown by the brain signal signal 601 and the heart captured by the signal. The potential signal 602 is analyzed, and the components in the signal are obtained, that is, components corresponding to various organs are formed, and the brain potential signal component 603 and the cardiac potential signal component 604 are respectively formed. After the component analysis, the relative brain map 605 and the heart map 606 will be introduced at this time, and after mapping to the stereo space, the position where the signal is generated can be located, as shown in the figure, the specific part of the brain 607, or the heart 608. Specific part. Therefore, through this system, medical personnel can be helped to find the cause easily and quickly.

In order to realize the technique of obtaining the position of the lesion through the physiological signal, FIG. 7 is a schematic diagram showing a circuit embodiment of the physiological signal mapping system for performing the above steps, in particular, the components in the system can be implemented in a specific device by software or firmware. Referring to FIG. 1 and FIG. 2, a conceptual diagram of the system is shown. The electrical signals generated by the nervous system are taken from various parts of the body, and the physiological signals are extracted and analyzed to generate various waveform diagrams, which in turn correspond to a three-dimensional space.

The system shown in the figure mainly includes a system control unit 70 for processing signals between various modules in the system. The physiological signal map analysis system mainly includes function modules for signal acquisition, analysis and positioning, as shown in the figure. The physiological signal acquisition module 701, the signal output module 703, the storage module 704, the signal analysis module 705, the spatial positioning module 706, the communication module 707, and the feedback control module 708 are connected to the system control unit 70.

In particular, the physiological signal acquisition module 701 first captures the potential signal 71 generated by the sensing organism, and the potential signal 71 is specifically a surface electrical signal generated by a scanning instrument or a sensor connected to the living body, and then converted. Generate electrical signals that the system can handle.

After receiving the potential signal, the signal analysis module 705 filters the ICA, PRLS and other analysis means according to the disclosure, and applies the independent vector analysis method and the normalized partial least squares method to analyze the degree of variation of the physiological signal under the time parameter. Cross-correlation is used to correlate different signal sources to obtain the characteristic value of the potential signal. The associated signal feature values are then processed by the spatial location module 706, in particular by introducing an already established signal map and mapping to a stereoscopic space based on the feature values. Finally, the signal output module 703 outputs the mapped signal, and the stereoscopic icon can be displayed on the specific device, and the output signal can be displayed on the display 72 or stored in the storage device 73.

The system further includes using the storage module 704 to temporarily store various signals passing through the system for use by other modules, and transmitting the signals to the external device through the communication module 707 including wireless or wired means.

The system further includes a feedback control module 708. After outputting the potential signal and the analysis result, the feedback control module will simultaneously generate a feedback control signal to the system control unit 70, whereby the system control unit 70 determines the system receiving and signal transmission actions.

According to the contents of the above disclosure, it is apparent that the physiological signal mapping analysis system, method, and map establishment method of the present invention can utilize a combination of at least two multivariate analysis techniques, and can perform functional and structural functions without requiring inspection of a large instrument. The positioning overcomes the space constraints on the current inspection equipment layout. This can reduce the number of steps in medical testing and shorten the time to confirm the cause.

The analysis method performed by the above system includes a physiological signal mapping analysis method and a physiological signal mapping method, wherein the instruction and related software modules are stored on a recording medium, such as a non-volatile recording such as a hard disk, a flash disk, or a compact disk. In the media.

In summary, the present disclosure proposes a physiological signal mapping system, method, map establishment method and media for systemic function and structure, and performs physiological analysis and spatial localization by extracting physiological signals of various organs of the whole body, and obtains a The individual table electrical signal functional map, in order to compare the physiological signals generated by the patient's body, can perform rapid and efficient health status screening, so that the patient can perform correct medical treatment in the shortest time, which will help to improve Medical quality and promotion of medical development.

The above description is only an embodiment of the present invention, and is not intended to limit the scope of the invention.

1,2. . . Human body schematic

101. . . Brain wave

103. . . Ocular wave

105. . . Electrocardiogram

107. . . Gastric wave

10. . . Physiological signal acquisition and analysis

101’. . . Brain wave map

103’. . . Ocular wave diagram

105’. . . Electrocardiogram

107’. . . Gastric wave map

201. . . Brain

203. . . heart

twenty one. . . Physiological signal acquisition module

211. . . Brain wave signal acquisition module

213. . . ECG signal acquisition module

twenty three. . . Physiological signal analysis module

231. . . Brain wave signal analysis module

233. . . ECG signal analysis module

25. . . Spatial positioning module

251. . . Brain wave spatial positioning module

255. . . ECG spatial positioning module

31. . . Independent vector analysis

33. . . Characteristic physiological potential information

35. . . Normalized partial least squares method

51. . . Map

53. . . Three-dimensional space model

601. . . Brain potential signal

602. . . Cardiac signal

603. . . Brain potential signal component

604. . . Cardiac signal component

605. . . Brain map

606. . . Heart map

607. . . Brain

608. . . heart

71. . . Potential signal

72. . . monitor

73. . . Storage device

70. . . System control unit

701. . . Physiological signal acquisition module

703. . . Signal output module

704. . . Storage module

705. . . Signal analysis module

706. . . Spatial positioning module

707. . . Communication module

708. . . Feedback control module

Step S301~S311 One of the map establishment processes

Step S401~S421 Map creation process 2

Steps S501~S509 The process of analyzing the signal position by using the signal map

Figure 1 is a schematic diagram of physiological signal acquisition and analysis using a physiological signal mapping system;

2 is a schematic diagram showing an embodiment of a physiological signal mapping analysis system of the present invention;

3 is a flow chart showing the method of establishing a signal map in the physiological signal mapping analysis system of the present invention;

4 is a flow chart showing a method for establishing a signal map in the physiological signal mapping analysis system of the present invention;

FIG. 5 is a flowchart showing a method for extracting a signal position by using signal pattern analysis according to the present invention; FIG.

Figure 6 shows a schematic diagram of the signal position obtained by signal pattern analysis;

FIG. 7 is a schematic diagram showing a circuit embodiment of a physiological signal mapping analysis system of the present invention.

1‧‧‧ human body

101‧‧‧ brain waves

103‧‧‧Eye waves

105‧‧‧heartwave

107‧‧‧Stomach waves

10‧‧‧Physiological signal acquisition and analysis

101’‧‧‧ brainwave map

103’‧‧‧Eye wave diagram

105’‧‧‧Electrocardiogram

107’‧‧‧Stomach radiography

Claims (20)

A physiological signal mapping analysis system comprises: (1) a physiological signal acquisition module for capturing an electrical signal transmitted by an organism, and obtaining a physiological signal through a pre-processing; (2) a physiological The signal analysis module first screens the useful physiological signal, obtains the characteristic value of the physiological signal by an analysis method, and analyzes and confirms the signal source corresponding to a specific part; and (3) a spatial positioning module receives After screening and analyzing the physiological signal, the physiological signal is associated with a stereoscopic image to form a signal map, wherein the signal map is a map corresponding to the physiological signal of each part of the living body, and destructed to obtain a time domain in the physiological signal. And a feature of the frequency domain, introducing a pair of stereoscopic space models corresponding to various organs of the living body, and the spatial positioning module performs positioning according to the time domain and the frequency domain characteristic value of the physiological signal, and mapping to the living body according to the stereoscopic space model The stereoscopic spatial position of the organ that excites the physiological signal. The physiological signal mapping system of claim 1, further comprising a display for displaying the signal map generated by the physiological signal mapping system. For example, the physiological signal mapping analysis system described in claim 1 wherein the physiological signal analysis module uses an independent vector analysis method and a normalized partial least squares method to degrade the physiological signal under the destructive time parameter, intersecting Comparing the correlations of different signal sources, the characteristic values of the physiological signals are obtained. A physiological signal mapping analysis system includes: a system control unit for controlling and transmitting signals between the modules in the physiological signal mapping system; a physiological signal acquisition module electrically connected to the system control unit, Used for Taking a potential signal sensed by a living body; a signal analysis module electrically connected to the control unit of the system, filtering the potential signal through an analysis means, and obtaining a time domain and a frequency domain characteristic value of the potential signal; A spatial positioning module is electrically connected to the control unit of the system, and a signal map is introduced, wherein the signal map is a map of potential signals corresponding to each part of the living body, and destructed to obtain a time domain and a frequency domain in the potential signal. After the feature, a pair of stereoscopic spatial models of the organs of the living body are introduced, that is, the positioning is performed according to the time domain and the frequency domain characteristic value of the potential signal, so as to map to the stereoscopic spatial position of the organ in which the biological body originally excites the potential signal; a signal output module electrically connected to the system control unit to output the spatial position of the organ mapped to the living body; a storage module electrically connected to the system control unit for temporarily storing the The potential signal processed by the physiological signal mapping analysis system is used by other modules; a communication module is electrically connected to the control unit of the system, and the output is The communication module is transmitted to a device; and a feedback control module is electrically connected to the system control unit. After receiving the potential signal, a feedback control signal is generated to the system control unit to control the physiological signal map. Analyze the operation of the system. For example, the physiological signal mapping analysis system described in claim 4, wherein the signal analysis module comprises an analysis method such as performing an independent vector analysis and a normalized partial least square method. The physiological signal mapping system according to claim 4, wherein the signal output module outputs the stereoscopic spatial position of the organ of the living body to a display. The physiological signal mapping system of claim 4, wherein the potential signal captured by the physiological signal acquisition module is a body surface electrical signal of the living body measured by an instant sensing component. . A physiological signal mapping analysis method comprises: extracting a physiological signal of an organism; obtaining a time domain and a frequency domain characteristic value of the physiological signal; introducing a signal map, wherein the signal map is a map corresponding to the physiological signal of each part of the living body. And comparing the time domain and the frequency domain characteristic value with the physiological signal according to the signal map; introducing a stereoscopic space model corresponding to each organ part of the living body; connecting the time domain and the frequency domain characteristic value and the physiological signal, according to the The stereo space model performs positioning, mapping the time domain and frequency domain feature values of the physiological signal to the stereo spatial position of the organ that originally excites the physiological signal; and outputting the positioning result. For example, in the physiological signal mapping analysis method described in claim 8, wherein after calculating the spatial distribution and time-varying information of each component in the physiological signal, the physiological signal captured is deconstructed and the time domain is In the frequency domain, a one-time spectrum analysis operation is performed to convert the time signal into a frequency signal. The method for analyzing a physiological signal spectrum according to claim 8 , wherein the step of obtaining the characteristic value of the physiological signal is to decompose the physiological signal into a plurality of independent components that are not related to each other, and decompose the physiological signal to obtain the Eigenvalues. The physiological signal mapping analysis method described in claim 10, The step of the corresponding feature value and the physiological signal is compared to the spatial distribution of the source of each component in the physiological signal and the correspondence to the time varying information. For example, in the physiological signal mapping analysis method described in claim 10, after the independent components that are not related in the physiological signal are decomposed, components that do not correspond to the spatial distribution of the source and the time-varying information are excluded. For example, the physiological signal mapping analysis method described in claim 12, wherein after excluding the non-corresponding components, a selected component is obtained, and a component waveform is calculated. For example, the physiological signal mapping method described in claim 13 wherein the component waveform is compared with a pre-built template database to define whether a predetermined meaningful event occurs. The physiological signal mapping analysis method according to claim 14, wherein the comparing step further comprises comparing the selected distribution pattern of the source space with the functional distribution map. A method for establishing a physiological signal map comprises: receiving a physiological potential signal; performing a deconstruction process, using an independent vector analysis to obtain physiological potentials of various organs in an organism, including a process of performing time and spatial distribution conversion, The spatial distribution and time-varying information of each component in the physiological potential signal are estimated, and the characteristics of the time domain and the frequency domain are deconstructed. The normalized partial least squares method is used to analyze the organism corresponding to the physiological potential signal. Position of each organ; a signal map is established by judging the position of each organ, wherein the signal map is a map corresponding to physiological signals of each part of the living body; and a pair of stereoscopic space models corresponding to various organs of the living body are introduced, according to The The signal map and the features of the time domain and the frequency domain of the physiological signal perform positioning, and are mapped to the stereoscopic spatial position of the organ that the biological body originally excites the physiological signal according to the stereoscopic space model. The method for establishing a physiological signal map according to claim 16, wherein when the destructive program uses the independent vector analysis, a characteristic physiological potential information is simultaneously cited to deconstruct the physiological potential of the biological body surface, and then Deconstruct the position where each organ sends a message, and obtain the physiological potential of each organ. The method for establishing a physiological signal map according to claim 16 , wherein after receiving the physiological potential signal, performing a pre-processing procedure. A recording medium recording a program for performing a physiological signal pattern analysis method as described in claim 8 of the patent application. A recording medium recording a program for performing a physiological signal map establishing method as described in claim 16 of the patent application.