JPH08196513A - Vital signal analysis apparatus - Google Patents

Abstract

PURPOSE: To enable simple identification of artifact and abnormal brain waves without requiring a high degree of knowledge and to decrease the working burden of an operator, such as inspection engineer. CONSTITUTION: This vital signal analysis apparatus is provided with a waveform characteristic extracting section 6, a marker 15, a waveform characteristic accumulating section 21 and an alarm section 31. The apparatus has a retrieving function and analizing function of changes with the lapse of time and automatically analyzes the abnormal waveforms by inputting an ROI (concern region) in case the abnormal waves are generated. Amplitude Wh, wavelength Wt or phase difference Wp of the two waveforms as the results of the analysis are displayed as numerical values together with the measured waveforms on the screen of a waveform display 14. The data analyzed in the waveform characteristic extracting section 6 and the waveforms are accumulated as template data. Whether the waveforms are the abnormal brain waves or the abnormal waveforms by the artifact is automatically judged in accordance with the template and alarm is made. The execution of automatic retrieval by the template after the inspection is possible as well.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a biological signal analyzing apparatus for measuring biological signals from the brain, heart, muscles, etc. and analyzing the measured biological signals.

[0002]

2. Description of the Related Art A biomedical signal measuring device for measuring a biomedical signal such as a heart wave, an electroencephalogram wave, a magnetoencephalogram wave, a muscle wave is known.
The biological signal measuring device is adapted to measure biological signals such as cardiac radio waves, brain potential waves, brain magnetic waves, and muscle radio waves, and record the waveforms of the measured biological signals on recording paper.

For example, measurement (inspection) of electroencephalogram (electroencephalogram)
In the biological signal measuring device, a plurality of electroencephalogram electrodes mounted on the head of the subject, an electroencephalograph that processes output signals from each electroencephalogram electrode, and an electroencephalogram based on the signals processed by the electroencephalograph. It consists of an electroencephalograph that records waveforms on recording paper.

An abnormal waveform as an artifact is generated in the measured brain wave due to factors such as the body movement of the subject (patient), the sway of the lead wire of the electroencephalogram electrode, sweating, myoelectric wave, eye movement, and vibration. As the abnormal electroencephalogram, for example, "epileptic spike wave" is known.

The waveform of the abnormal electroencephalogram is unique to each subject, and the characteristics of the waveform change during the course of treatment. In addition, since the above-mentioned artifact has a waveform similar to the abnormal electroencephalogram useful for diagnosis, it is impossible to distinguish the abnormal electroencephalogram and the artifact without a high degree of specialized knowledge. Moreover, even an engineer (or doctor) having specialized knowledge cannot easily find out and discriminate a subtle difference between the artifact and the abnormal brain wave only from the waveform on the recording paper.

Therefore, in the conventional measurement of the brain potential wave, the measurement result is recorded on a recording paper in real time by the biological signal measuring device, and the technician gives the waveform of the biological signal stored in the subject (patient) and the recording paper. When an abnormal waveform is recorded on this recording paper, it is judged from the state of the subject and the state of the device such as the electroencephalogram electrode whether it is an artifact or an abnormal electroencephalogram, and a classification mark for distinguishing the artifact or the abnormal electroencephalogram I wrote it on the recording paper directly. After the examination, the doctor will judge and observe the abnormal electroencephalogram based on the classification mark on the recording paper and use it as a reference material for diagnosis.

[0007]

As described above, since the conventional biological signal measuring device does not have means for analyzing the waveform of the biological signal, the condition of the subject and the waveform recorded on the recording paper are observed. Then, it is necessary to distinguish the artifact from the abnormal electroencephalogram, and there is a problem that the laboratory technician needs high specialized knowledge.

Further, the inspection technician compares the state of the subject with the waveform recorded on the recording paper during the inspection time to judge whether the abnormal waveform recorded on the recording paper is an artifact or an abnormal brain wave. Therefore, there is a problem that the inspection engineer has a heavy work load because it is necessary to enter a separation mark for separating it.

Therefore, the present invention makes it possible to easily discriminate artifacts from abnormal electroencephalograms without requiring a high degree of specialized knowledge and to reduce the work load on operators such as inspection technicians. An object is to provide an analysis device.

[0010]

The invention according to claim 1 is
Biological signal collecting means for collecting waveform data of biological signals,
It includes display means for displaying the waveform data collected by the biological signal collecting means on the screen, designation input means for designating and inputting a predetermined portion of the waveform data displayed on the screen, and the designated and predetermined portion. Waveform characteristic analysis means for analyzing the waveform data of the region is provided.

According to a second aspect of the invention, in the first aspect of the invention, there is provided a storage means for storing the analysis result by the waveform feature analysis means and the waveform data corresponding to this analysis result.

The invention corresponding to claim 3 is the invention described in either claim 1 or claim 2, wherein the waveform data corresponding to the analysis result is searched from the waveform data collected by the biological signal collecting means. A search means is provided.

The invention according to claim 4 is, in the invention described in either one of claim 1 or claim 2, whether or not the waveform data collected by the biological signal collecting means corresponds to the analysis result. Is provided, and an alarm means is provided for issuing an alarm when the two match.

According to a fifth aspect of the invention, in the invention according to the third aspect, there is provided secular change analysis means for analyzing the number of times of searching the waveform data corresponding to the analysis result by the searching means and the change of the waveform data corresponding to the analysis result. It is provided.

[0015]

In the invention according to claim 1, the waveform data collected by the biological signal collecting means is displayed on the screen by the display means. When a specified portion of the waveform data displayed on this screen is designated and input by the designation input means, the waveform data of the area including the designated and input designated portion is analyzed by the waveform feature analysis means.

In the invention corresponding to claim 2, claim 1
In addition to the action of the corresponding invention, the analysis result by the waveform feature analysis means and the waveform data corresponding to this analysis result are accumulated by the accumulation means.

In the invention corresponding to claim 3, claim 1
Alternatively, in addition to the action of the invention described in any one of claims 2, the waveform data collected by the biological signal collecting means corresponds to the analysis result by the waveform feature analyzing means or the analysis result accumulated by the accumulating means. The waveform data is searched by the search means.

In the invention corresponding to claim 4, claim 1
Alternatively, in addition to the function of the invention described in any one of claims 2 to 5, the waveform data collected by the biological signal collecting means is analyzed by the alarm means, the analysis result by the waveform feature analyzing means or the analysis accumulated by the accumulating means. Whether or not the waveform data corresponds to the result is collated, and if the collation coincides, an alarm is issued.

In the invention corresponding to claim 5, claim 3
In addition to the operation of the invention described above, the secular change analyzing unit analyzes the number of times of searching the waveform data corresponding to the analysis result by the searching unit and the change in the waveform data corresponding to the analysis result.

[0020]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS A first embodiment of the present invention will be described below with reference to FIGS.
Will be described with reference to. In addition, in the first embodiment and each of the following embodiments, the present invention will be described by an example of brain wave measurement.

FIG. 1 is a block diagram showing a circuit configuration of essential parts of a biological signal measuring device incorporating a biological signal analyzing device to which the present invention is applied. The central operation console 1 includes a CPU (central processing unit) 2 and R that constitute the main body of the control unit.
OM (read only memory) 3, RAM (random access mem)
ory) 4 etc.

The central operation console 1 is connected to a waveform feature extraction section 6, a working memory 7, a biological signal storage section 8 and the like via a system bus 5. An electroencephalogram signal detected by a plurality of electroencephalogram electrodes 9 attached to the head of the patient to be inspected is amplified by a living body amplifier 10, and this amplified electroencephalogram signal is input to an A / D converter 11 and converted into digital data. To be done. The digital data output from the A / D converter 11 is written in the working memory 7. The biological amplifier 10 is composed of an isolation amplifier in which the input and the output are insulated.

The electroencephalographic waveform digital data written in the working memory 7 is sequentially transferred to the biological signal storage unit 8 and the adder 12. The bio-signal storage unit 8 stores the sequentially transferred digital data 3.

On the other hand, the electroencephalogram digital data transferred to the adder 12 is D / A (digita) via the adder 12.
l / analogue) converter 13 and converted into an analog signal (video signal) by this D / A converter 13,
It is output to the waveform display 14. This waveform display 14
The brain wave waveform is displayed based on the input analog signal.

On the screen of the waveform display 14,
Transparent film digitizer with array of piezoelectric contacts
(Not shown) is provided, and the marker 15 is composed of this digitizer and a marking pen (not shown) formed of a plastic material or the like. This marking pen is provided with a hand switch (not shown) for discriminating between abnormal waveforms important for diagnosis and unnecessary abnormal waveforms.

By touching a point on the screen (on the digitizer) with the marking pen of the marker 15,
Coordinate signals on the screen are output from the digitizer. This coordinate signal is input to the marker controller 16.

The marker controller 16 generates a region of interest (hereinafter, referred to as ROI) from the input coordinate signal, transfers the coordinate address indicating the ROI to the address controller 18, and based on the coordinate address indicating the ROI. ROI image data in the marker memory 17
(Frame image image data) is expanded.

As a method of inputting the ROI using the marker 15, a region including the waveform of interest is input as the ROI (region of interest). This ROI input method is shown in Fig. 2 (
As shown in a), enclose the waveform of interest displayed on the screen with the marking pen (input points continuously),
This enclosed area (the area enclosed by its continuous input points)
2 is input as a ROI, and as shown in FIG. 2B, a frame surrounding an area of a predetermined size fixed to the input point of the marking pen is set in advance, and the frame is displayed on the waveform display device. There is a method of inputting the ROI by displaying it on the screen of 14 and moving the marking pen so as to surround the waveform of interest in this frame.

The present invention is not limited to the ROI input method, and the ROI may be input by another method. The address controller 18 is
The waveform data on the working memory 7 corresponding to the coordinate address of the ROI transferred from the marker controller 16 is transferred to the waveform feature extraction unit 6.

The waveform feature extraction unit 6 analyzes the transferred waveform data, analyzes the amplitude Wh and wavelength Wt of the waveform of interest, and further analyzes the phase difference Wp between the waveforms in the ROI, and analyzes this. The data amplitude Wh, the wavelength Wt, or the phase difference Wp is the address designated by the address controller 18 in the marker memory 17, that is, RO.
It is expanded along the coordinate address of I.

Therefore, RO is stored in the marker memory 17.
The analysis data of (the characteristic of) the waveform included in the ROI is added to the I image data and developed, and the added ROI image data is transferred to the adder 12.

The adder 12 has an RO to which the digital data of the electroencephalogram transferred from the working memory 7 and the analysis data transferred from the marker memory 17 are added.
The I image data is added and output to the D / A converter 13. Therefore, the waveform display 14 based on the analog signal (video signal) output from the D / A converter 13
On the screen of, the ROI image by the marker 15 and the analysis data are superimposed and displayed on the electroencephalogram waveform.

In the first embodiment having such a configuration,
Brain waves are detected from a plurality of brain wave electrodes 9 mounted on the head of the patient, and a weak analog signal is output. This weak analog signal is insulated and amplified by the living body amplifier 10 and converted into digital data by the A / D converter 11.

This digital data is written in the working memory 7. From this working memory 7, the digital data is converted into a video signal by the D / A converter 13 via the adder 12 and by the waveform display 14. It is displayed as an electroencephalogram waveform image.

On the other hand, the digital data from the working memory 7 is also transferred to and stored in the biological signal storage section 8. Therefore, as shown in FIG. 2C, the waveform display 14
The case where an abnormal waveform occurs in the waveform data on the screen will be described.

When the ROI (region of interest) for one abnormal waveform on the waveform display 14 is input by the marking pen of the marker 15, the coordinate signal output from the digitizer of the marker 15 is used as the coordinate address and the marker controller 16 is used. From the address controller 18 to the marker memory 1 based on this coordinate address.
An image showing the ROI input in 7 is developed.

On the other hand, the address controller 18 transfers the abnormal waveform data contained in the ROI from the working memory 7 to the waveform characteristic extraction unit 6 by the coordinate address, and the waveform characteristic extraction unit 6 analyzes the abnormal waveform. As the analysis result, the amplitude Wh and wavelength Wt of the abnormal waveform are added to the ROI image of the marker memory 17.

RO expanded in the marker memory 17
The I image and the data amplitude Wh and the wavelength Wt of the analysis result are added to the waveform data from the working memory 7 by the adder 12, and the electroencephalogram waveform on the screen of the waveform display 14 is shown in FIG.
As shown in (d), the ROI image, the data amplitude Wh of the analysis result, and the wavelength Wt are superimposed and displayed.

Further, as shown in FIG. 3A, a case will be described in which two abnormal waveforms occur in the waveform data on the screen of the waveform display device 14 and the phase difference between them is to be investigated. When the ROI is input by the marking pen of the marker 15 so as to surround two abnormal waveforms, the marker controller 16 outputs the coordinate address of the ROI from the digitizer of the marker 15 to the address controller 18, and the coordinate address. The marker memory 17 based on
An image showing the ROI input to is developed.

On the other hand, the address controller 18 transfers the two abnormal waveform data included in the ROI from the working memory 7 to the waveform feature extraction unit 6 by the coordinate address.
The waveform feature extraction unit 6 analyzes the phase difference Wp of the two abnormal waveforms as a result of the analysis.
7 ROI images.

RO expanded in the marker memory 17
The data phase difference Wp between the I image and the analysis result is added to the waveform data from the working memory 7 by the adder 12, and the electroencephalogram waveform on the screen of the waveform display 14 is shown in FIG.
As shown in, the data phase difference W between the ROI image and the analysis result
p is superimposed and displayed.

As described above, according to the first embodiment, the marker 15 and the waveform feature extraction unit 6 are provided, and when an abnormal waveform occurs, the ROI (region of interest) including this abnormal waveform is included.
By inputting, the abnormal waveform is automatically analyzed, and the waveform is displayed with the amplitude Wh, the wavelength Wt, or the phase difference Wp of the two abnormal waveforms as the analysis result being a clear numerical value. It can be displayed on 14 screens.

Therefore, in determining whether the abnormal waveform is a pathological abnormal brain wave or an artifact, the data of the amplitude Wh, the wavelength Wt, or the phase difference Wp of the analysis results becomes important data, and a high degree of expertise is required. It is possible to easily discriminate the artifact from the abnormal electroencephalogram without the need for.

Therefore, the work load on the inspection engineer can be reduced. A second embodiment of the present invention will be described with reference to FIG. In addition, in the second embodiment, a waveform feature accumulation section described later is provided in the first embodiment described above,
The same members as those described in the first embodiment are designated by the same reference numerals, and the description thereof will be omitted.

FIG. 4 is a block diagram showing a circuit configuration of essential parts of a biological signal measuring apparatus incorporating the biological signal analyzing apparatus to which the present invention is applied. The waveform feature storage unit 21 is connected to the central operation console 1 via the system bus 5, and the analysis result data of the waveform data analyzed by the waveform feature extraction unit 6 and the waveform data corresponding to this data ( Template data).

Further, the analysis result data output from the waveform feature extraction unit 6 is transferred to the marker memory 17 via the waveform feature storage unit 21 and is expanded in the marker memory 17. Added to the image.

When the template data is called from the waveform characteristic storage unit 21, it is transferred to the marker memory 17 and expanded, and the adder 12 and the D / A are used.
It is displayed on the waveform display 14 via the converter 13.

In the second embodiment having such a structure,
A case where an abnormal waveform occurs in the waveform data on the screen of the waveform display 14 as shown in FIG. 2C will be described.
When the ROI (region of interest) for one abnormal waveform on the waveform display 14 is input by the marking pen of the marker 15, the coordinate signal output from the digitizer of the marker 15 is used as the coordinate address from the marker controller 16 to the address controller. An image showing the ROI input to the marker memory 17 is developed based on this coordinate address while being output to 18.

On the other hand, the address controller 18 transfers the abnormal waveform data included in the ROI from the working memory 7 to the waveform characteristic extraction unit 6 by the coordinate address, and the waveform characteristic extraction unit 6 analyzes the abnormal waveform, As the analysis result, the amplitude Wh, the wavelength Wt, and the abnormal waveform of the abnormal waveform are transferred to the waveform feature storage unit 21 and stored therein.

In the waveform characteristic storage unit 21, the main portion of the abnormal waveform is stored as template data as shown in FIG. 2 (e) together with the data of the amplitude Wh and the wavelength Wt of the analysis result. Further, the amplitude W
The data of h and the wavelength Wt are transferred to the marker memory 17, expanded, and added to the ROI image.

Further, for example, when an abnormal waveform occurs, by calling the analysis result data and the template obtained from the previous abnormal waveform from the waveform feature storage unit 21, the waveform display 14 displays the template for the abnormal waveform generated this time. It is possible to numerically compare the data of the analysis result of the abnormal waveform generated this time with the data of the analysis result obtained from the previous abnormal waveform while superimposing them on the screen.

Further, when the technician or doctor retrieves the electroencephalogram waveform after the electroencephalogram examination, the waveform data (digital data) is called from the biological signal accumulating section 8 and the abnormal waveform analysis result is obtained from the waveform characteristic accumulating section 21. Data amplitude W
h, call wavelength Wt and template data. Then
The waveform data is displayed on the screen of the waveform display 14, and the template data, the data amplitude Wh of the analysis result, and the wavelength Wt are superimposed on the waveform data and displayed.

As described above, according to the second embodiment, it is possible to obtain the same effect as that of the first embodiment described above. Further, in the second embodiment, since the waveform feature storage unit 21 is provided and the data of the analysis result of the waveform data analyzed by the waveform feature extraction unit 6 and the waveform data can be stored as the template data, it is abnormal. When a waveform is generated, it can be compared with the previously analyzed abnormal waveform on the screen of the waveform display 14, and the analysis results can also be compared numerically. It is possible to more accurately identify whether it is an electroencephalogram or an artifact, and the analysis result can be stored as digital data together with the waveform data. Even an unskilled technician can easily perform an EEG test.
Therefore, the work load on the engineer can be further reduced.

A third embodiment of the present invention will be described with reference to FIGS. In addition, in the third embodiment, an alarm unit, which will be described later, is provided to the second embodiment described above, and a search function and a secular change analysis function are added.
The same members as those described in the embodiment and the second embodiment are designated by the same reference numerals and the description thereof will be omitted.

FIG. 5 is a block diagram showing a circuit configuration of essential parts of a biological signal measuring apparatus incorporating the biological signal analyzing apparatus to which the present invention is applied. The alarm unit 31 is the system bus 5
It is connected to the central operation console 1 via.

Under the control of the central operation console 1, the alarm unit 31 stores the A / A in the working memory 7.
The waveform data transferred from the D converter 11 and written is
When the analysis data and the template stored in the waveform feature storage unit 21 are met, the buzzer is driven or the lamp is turned on to warn the occurrence of a patient abnormality such as seizure.

In the third embodiment having such a configuration, the retrieval processing shown in FIG. 6 is performed by the control of the central operation console 1 (CPU2). First, step 1 (ST1
As a process of), it becomes a standby state until the template is designated.

When a template is designated and input,
As the processing of step 2 (ST2), the designated template and the analysis result data of the template are
It is read from the waveform feature storage unit 21.

Next, as the processing of step 3 (ST3), the waveform data of the brain waves of the patient designated in advance is read from the biological signal accumulating section 8, and the template read in the processing of step 2 is sequentially read for each predetermined data unit. Also, the waveform data corresponding to the analysis result data is searched.

As the processing of step 4 (ST4), it is determined whether or not there is the corresponding waveform data in the template and the analysis result data. If it is determined that there is no corresponding waveform data, the processing of step 8 described later is performed. It's about to move.

If it is determined that there is waveform data corresponding to the template and analysis result data, step 5 (
As the processing of ST5), the corresponding waveform data and the data of the result of the analysis of the waveform data by the waveform feature extraction unit 6 are displayed on the waveform display unit 14, and the step 6 (ST
As the processing of 6), the search template and the analysis result data are displayed on the waveform display unit 14.

Next, as the processing of step 7 (ST7), the central operation console 1 enters a standby state until the next search request is input. At this time, the searched corresponding waveform data and the data obtained as a result of analyzing the waveform data, the search template and the data obtained as a result of the analysis remain displayed on the waveform display unit 14, and the waveform of the waveform by the doctor or the technician is displayed. Observation / analysis and diagnosis are performed.

When the next search request is input in the process of step 7, as the process of step 8 (ST8), the search by the template read out by the waveform feature storage unit 21 and its analysis result data is performed for all the waveform data. When it is judged whether or not the search is completed, and when it is judged that the search is not completed for all the waveform data, the process is returned to the above-mentioned step 3 again, and it is judged that the search is completed for all the waveform data. , This search process is to be ended.

The central operation console 1 (CPU2)
Under the control of, the time-dependent change analysis process shown in FIG. 7 is performed. First, as the processing of step 11 (ST11), a standby state is entered until template input is input.

When a template is designated and input,
As the processing of step 12 (ST12), the designated template and the analysis result data of the template are read from the waveform feature storage unit 21.

Next, as the processing of step 13 (ST13), the waveform data of the brain waves of the patient designated in advance is read from the biological signal accumulating section 8, and the template read in the processing of step 2 is sequentially read for each predetermined data unit. Also, the waveform data corresponding to the analysis result data is searched.

As the processing of step 14 (ST14),
It is determined whether or not there is corresponding waveform data in the template and the analysis result data. If it is determined that there is no corresponding waveform data, the process proceeds to step 17 (ST17) described later.

If it is determined that there is waveform data corresponding to the template and analysis result data, step 15
As the process of (ST15), the elapsed time with respect to the previous applicable waveform data is calculated, and the seizure cycle is calculated and registered based on the calculated elapsed time.

Next, as the processing of step 16 (ST16), the maximum amplitude of the corresponding waveform data of this time is registered. Next, as the processing of step 17 (ST17), it is determined whether or not the search by the template read by the waveform feature storage unit 21 and the analysis result data has been completed for all the waveform data, and the search for all the waveform data is completed. If it is determined that it has not been done, the above step 13 is performed again.
The process is returned to.

When it is judged that the search by the template and its analysis result data has been completed for all the waveform data, the data of all seizure cycles and amplitudes registered in this time-dependent change analysis processing are processed in step 18 (ST18). Waveform output on a specified paper or waveform display 1
Display output to 4.

Then, this time-dependent change analysis process is completed. In this way, the seizure cycle and amplitude data printed on the paper or the seizure cycle and amplitude data displayed and output on the screen of the waveform display device 14 are waveform and numerical values for seizure changes over time for a doctor or a technician. It is an important diagnostic material for judging the progress of a medical condition.

If a basic template of the epilepsy spike wave is stored in the waveform feature storage unit 21 (or set in the alarm unit 31), in a state where the patient's brain waves are constantly monitored, When a seizure such as epilepsy occurs, an epileptic spike wave is generated in the brain wave, and the alarm unit 3
The alarm by the buzzer or lamp according to 1 is performed.

As described above, according to the third embodiment, it is possible to obtain the same effect as that of the second embodiment described above. Further, in the third embodiment, since the alarm unit 31 is provided and the search function and the change-over-time analysis function are provided, it is possible to easily search for abnormal waveforms due to abnormal brain waves and artifacts from all waveform data, Moreover, with respect to the abnormal electroencephalogram, the change over time can be analyzed in a waveform and numerically. Further, since it is possible to constantly monitor whether or not the waveform measured in real time is an abnormal electroencephalogram and give an alarm when an abnormal electroencephalogram occurs, it is possible to strengthen the patient's monitoring posture.

The present invention is based on the above-mentioned first embodiment,
The invention is not limited to the second and third embodiments,
Although the measurement of the electroencephalogram has been described in the above-described embodiment, it can be applied to various biological signals such as cardiac radio waves, electroencephalographic waves, brain magnetic waves, and myoelectric waves, and can be modified without departing from the scope of the present invention. Is.

[0075]

As described above in detail, according to the present invention,
Mark the waveform displayed on the screen of the display unit (specify)
By automatically analyzing the characteristics of the waveform and displaying the analyzed result on the screen, it is possible to easily distinguish the artifact from the abnormal electroencephalogram without requiring high-level expertise. Thus, it is possible to provide a biological signal analysis device that can reduce the work load on an operator such as an inspection engineer.

[Brief description of drawings]

FIG. 1 is a block diagram showing a circuit configuration of a main part of a biological signal measuring apparatus incorporating a biological signal analyzing apparatus according to a first embodiment of the present invention.

FIG. 2 is a diagram showing an example of a signal waveform obtained by the biological signal measuring device according to the same embodiment.

FIG. 3 is a diagram showing another example of a signal waveform obtained by the biological signal measuring device of the same embodiment.

FIG. 4 is a block diagram showing a circuit configuration of a main part of a biological signal measuring apparatus incorporating the biological signal analyzing apparatus of the second embodiment of the present invention.

FIG. 5 is a block diagram showing a circuit configuration of a main part of a biological signal measuring device incorporating a biological signal analyzing device according to a third embodiment of the present invention.

FIG. 6 is a diagram showing a flow of a search process performed by the biological signal measuring device of the embodiment.

FIG. 7 is a diagram showing a flow of time-dependent change analysis processing performed by the biological signal measuring apparatus of the embodiment.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 ... Central operation console, 6 ... Waveform feature extraction part, 7 ... Working memory, 8 ... Biological signal storage part, 12 ... Adder, 14 ... Waveform display, 15 ... Marker, 17 ... Marker memory, 21 ... Waveform feature Storage unit, 31 ... Alarm unit.

Claims (5)

[Claims] 1. A biological signal collecting means for collecting waveform data of a biological signal, a display means for displaying the waveform data collected by the biological signal collecting means on a screen, and the waveform displayed on the screen. A biological signal analyzing apparatus comprising: a designation input means for designating and inputting a predetermined location of data; and a waveform feature analyzing means for analyzing waveform data of a region including the designated and input predetermined location. 2. The biological signal analyzing apparatus according to claim 1, further comprising storage means for storing the analysis result by the waveform feature analyzing means and the waveform data corresponding to the analysis result. . 3. The biological signal analyzing apparatus according to claim 1, wherein the waveform data corresponding to the analysis result is searched from the waveform data collected by the biological signal collecting means. A biological signal analyzing apparatus comprising means. 4. The biological signal analyzing apparatus according to claim 1 or 2, wherein the waveform data collected by the biological signal collecting means is a waveform data corresponding to the analysis result. An apparatus for analyzing a biological signal, characterized in that an alarm means is provided for collating and issuing an alarm when the collation coincides. 5. The biological signal analyzing apparatus according to claim 3, further comprising secular change analyzing means for analyzing the number of times of searching the waveform data corresponding to the analysis result by the searching means and the change of the waveform data corresponding to the analysis result. A biological signal analysis device, which is provided.