JP2009011540A - Biological test device and program for biological test device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a biological test device high in detection precision by separating a necessary biological signal from biological signals generated from a plurality of generation sources. <P>SOLUTION: The biological test device includes a signal processing part which has: an extremum extracting means for extracting an extremum from a biological signal detected by a biological sensor; a cycle determining means for determining a cycle of a cyclic waveform included in the biological signal on the basis of extremum signal information extracted by the extremum extracting means; a cyclic waveform extracting means for extracting a cyclic waveform from the biological signal detected by the biological sensor on the basis of the cyclic information determined by the cyclic determining means; and a non-cyclic waveform extracting means for estimating a cyclic waveform included in a waveform signal to be tested by using a signal based on the cyclic waveform extracted by the cyclic waveform extracting means and extremum information on the waveform signal to be tested extracted by the extremum extracting means and eliminating an estimated estimation cyclic waveform from the waveform signal to be tested. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a biological examination apparatus that obtains a biological signal from a subject, and more particularly to a biological examination apparatus that obtains an aperiodic biological signal.

  The present invention relates to a biopsy device that analyzes the number and type of coughs that occur suddenly and non-periodically, the number of swallows, and the frequency, and in particular, a heart sound that is generated periodically with different sources included in a biological signal. The present invention relates to a biopsy device and a program for the biopsy device that eliminate and reduce noise unnecessary for analysis such as breathing sound.

  As an apparatus for acquiring a biological signal from a subject, Patent Document 1 discloses a collection apparatus that detects a biological sound using a microphone. In such a collecting device that detects a biological signal using a microphone, in order to detect a target biological signal that is detected as a signal waveform by superimposing sounds (vibrations) from a plurality of sources such as respiratory sounds and heartbeat sounds. Therefore, it is necessary to separate and analyze signals from a plurality of sources for each source.

In the collecting apparatus of Patent Document 1, such a problem is solved by separating biological signals using a frequency filter because the frequency bands of breathing sound and heartbeat sound are different.
JP 2006-192020 A

  However, in order to separate biological signals having different generation sources by the frequency filter, the frequency bands between the biological signals need to be different, and the biological signal in which the frequency bands overlap is necessary in the means of Patent Document 1. The biological signal cannot be separated. For example, the frequency bands partially overlap in breathing, coughing, swallowing, and venous valve operation sounds.

  In view of the above problems, an object of the present invention is to obtain a biopsy apparatus with high detection accuracy by separating necessary biosignals from biosignals composed of a plurality of generation sources.

The above object is achieved by the invention described below.
(1) a biological sensor for detecting a biological signal;
A signal processing unit that performs signal processing on a biological signal detected by the biological sensor,
The signal processing unit
Extreme value extraction means for extracting an extreme value from a biological signal;
A period determining means for determining a period of a periodic waveform included in the biological signal based on the extreme value information extracted by the extreme value extracting means;
Periodic waveform extraction means for extracting a periodic waveform from a biological signal detected by the biological sensor based on information on the period determined by the period determination means;
Using the signal based on the periodic waveform extracted by the periodic waveform extracting means and the extreme value information of the waveform signal to be inspected extracted by the extreme value extracting means, the periodic waveform included in the waveform signal to be inspected is estimated. A non-periodic waveform extracting means for removing the estimated periodical waveform estimated from the waveform signal to be inspected;
A biopsy device characterized by comprising:
(2) The biological examination apparatus according to (1), wherein the signal based on the periodic waveform extracted by the periodic waveform extracting means is created from a plurality of periodic waveforms.
(3) The biopsy apparatus according to (1) or (2), wherein the non-periodic waveform extraction unit uses the amplitude and period of a waveform signal to be examined as extreme value information.
(4) The period determining means extracts a plurality of extreme values from the biological signal, and determines the period based on the signal value of the extreme values or the time interval between the extreme values (1) The biopsy apparatus according to any one of (3) to (3).
(5) The period determination means extracts a plurality of extreme values from the biological signal, selects a plurality of candidate periods from a plurality of time intervals between the extreme values, and sets the candidate periods as adjacent candidate waveforms. The biological coefficient according to any one of (1) to (3), wherein the correlation period is calculated, and the candidate period with the highest calculated correlation coefficient is set as the period of the periodic waveform included in the biological signal. Inspection device.
(6) The biological examination apparatus according to any one of (1) to (5), wherein the biological signal is a plurality of biological signals having different generation sources.
(7) The non-periodic waveform extracting means detects a period when the periodic waveform signal changes, and determines an inspection period for detecting the non-periodic waveform signal based on the detected period (1) The biopsy apparatus according to any one of (6) to (6).
(8) having a plurality of biological sensors for acquiring biological signals;
The non-periodic waveform extraction means determines the examination period based on a biological signal detected by one biological sensor, and detects a non-periodic waveform signal from biological signals detected by other biological sensors in the determined examination period. The biopsy device according to (7), which is performed.
(9) The biological examination apparatus according to (1), wherein the determination unit determines an error when a periodic biological signal cannot be extracted.
(10) A program for a biological examination apparatus having a biological sensor for detecting a biological signal,
An extreme value extraction step of extracting an extreme value from a biological signal detected by the biological sensor;
A period determining step for determining a period of a periodic waveform included in the biological signal based on the extreme value information extracted in the extreme value extracting step;
A periodic waveform extraction step for extracting a periodic waveform from a biological signal detected by the biological sensor based on information on the period determined in the period determining step;
Using the signal based on the periodic waveform extracted in the periodic waveform extraction step and the extreme value information of the waveform signal to be inspected extracted by the extreme value extracting means, the periodic waveform included in the waveform signal to be inspected is estimated. A non-periodic waveform extraction step for removing the estimated periodical waveform estimated from the waveform signal to be examined;
A program for a biological examination apparatus that is executed by a computer.
(11) The program for a biological examination apparatus according to (10), wherein the signal based on the periodic waveform extracted in the periodic waveform extraction step is created from a plurality of periodic waveforms.
(12) In the non-periodic waveform extraction step, the amplitude and the period of the waveform signal to be examined are used as extreme value information, and the program of the biological examination apparatus according to (10) or (11)
(13) The cycle determination step includes an extreme value extraction step of extracting a plurality of extreme values from the biological signal, and a cycle extraction step of determining a cycle based on a signal value of the extreme value or a time interval between the extreme values. The program of the biopsy apparatus according to any one of (10) to (12), characterized in that it includes:
(14) In the period extraction step, a plurality of candidate periods are selected from a plurality of time intervals between extreme values, and a correlation coefficient between adjacent candidate waveforms when the candidate period is used is calculated, and the calculated phase The biopsy apparatus program according to any one of (10) to (12), wherein the candidate period having the highest relation number is set as a period of a periodic waveform included in the biological signal.
(15) The biological inspection apparatus program according to any one of (10) to (14), wherein the biological signal is a plurality of biological signals having different generation sources.

  ADVANTAGE OF THE INVENTION According to this invention, it becomes possible to obtain a biopsy apparatus with a high detection accuracy by isolate | separating a required biosignal from the biosignal which consists of a several generation source.

  Although the present invention will be described based on an embodiment, the present invention is not limited to the embodiment.

  FIG. 1 is a schematic diagram showing an example of use of the biological signal collection device. The example shown in the figure shows a state in which the biological sensors 1 of the two biological signal collection devices are attached to the biological surface H of the subject. The biological signal collection device detects a plurality of biological signals from different sources such as cough, swallowing sound, respiratory sound, heart sound, and transmits them to the signal processing unit 2 described later.

  FIG. 2 is a cross-sectional view of the biosensor 1. In the example shown in the figure, a biological sound is collected as a biological signal. As shown in the figure, the biosensor 1 includes a casing 12 having a cylindrical shape with an open end, and an intermediate sheet member 13 that is in close contact with the casing 12 so as to close the opening of the casing 12. And.

  The biosensor 1 is a so-called condenser microphone type sound collecting unit. The biological sensor 1 includes a conversion unit 15, a sound collection unit composed of a conical air chamber wall 16 whose upper and lower surfaces are opened, and an electric signal obtained by the conversion unit 15 is amplified and converted into a digital signal, It comprises an element 19 that transmits to a storage unit or a signal processing unit (not shown), a conversion unit 15 and a substrate 17 on which the element 19 is mounted, and a battery unit 18 that supplies power to the conversion unit 15 and the element 19. The

  The biosensor 1 is attached to a predetermined part of a patient (subject) by an adhesive layer 14 provided on the intermediate sheet member 13. When the patient emits a body sound by breathing or swallowing, the intermediate sheet member 13 vibrates minutely in accordance with the wavelength of the body sound. The minute vibration of the intermediate sheet member 13 is propagated to the conversion unit 15 through the air chamber wall 16. The vibration of the body sound is converted into an electric signal by the conversion unit 15, converted into a digital signal by the element 19, and transmitted to the signal processing unit 2 described later.

  In addition, although the sensor which has a sound collection part and acquires a sound signal was demonstrated as the biosensor 1, it is not restricted to this, The biosensor which acquires an acceleration signal with an acceleration sensor may be sufficient.

  FIG. 3 is a block diagram illustrating a schematic configuration of the biopsy device according to the embodiment. As shown in the figure, the biological examination apparatus includes a biological sensor 1 and a signal processing unit 2. The signal processing unit 2 detects an aperiodic biological signal by removing a periodic signal from the biological signal acquired by the biological sensor 1. The signal processing unit 2 extracts a periodic waveform from the biological signal based on the information on the determined period, and generates a normalized waveform from the extracted periodic waveform. The period determining unit 210 determines the period of the periodic waveform included in the biological signal. And a non-periodic waveform extraction unit 230 that detects a non-periodic waveform based on the generated standardized waveform and a biological signal to be inspected (also referred to as a detection target). A CPU (not shown) executes a program stored in an internal memory of the signal processing unit 2 to execute control of each unit and various processes.

  Next, processing executed by each unit will be described with reference to FIGS. FIG. 4 is a flowchart for explaining processing of the biopsy apparatus according to the embodiment. Steps S11 to S13 in FIG. 4 are processes executed by the period determination unit 210, steps S21 and S22 are performed by the normalized waveform generation unit 220, and steps S31 and S32 are performed by the non-periodic waveform extraction unit 230, respectively. .

  First, the period determination unit 210 calculates the extreme value p (step S11). Step S11 will be described with reference to FIGS.

  FIG. 5 is a diagram for explaining the subroutine of step S11. In the figure, in step S111, it is determined whether or not the biological signal s from the biological sensor has crossed the reference value. Here, the reference value is a predetermined output value, for example, 0 (zero) output. Further, in order to remove the influence of the offset on the signal value, a signal through a low-pass filter may be used for the biological signal in advance. In other words, crossing means that the reference value matches the signal value. FIG. 6 is a diagram showing the relationship between the biological signal from the biological sensor and the reference value. As shown in the figure, the biological signal s and the reference value (0) indicate that they cross at two locations of cp1 and cp2.

  If the biological signal s and the reference value cross (cp1) in step S111 (step S111: Yes), the subsequent signal value and time (position) of the biological signal s are continuously recorded (step S112). Subsequently, in step S113, the same determination as in step S111 is performed. If the next cross (cp2) is made (step S113: Yes), in step S114, the signal from the biological signal s recorded in step S112 so far is updated. The time of the value p and its extreme value p is calculated, and the flow returns to the flow of FIG. 4 (Return).

  As a flow for calculating the extreme value p, when the biological signal s crosses the reference value (cp1), the variable is reset, and the signal value of the biological signal s is larger than the variable until the next crossing (cp2). Alternatively, the maximum value (or the minimum value) between the two cross points may be obtained by rewriting the variable to the signal value (if it is small).

  For example, when it is determined in step S111 that cp1 and cp2 are crossed in step S113, the maximum value (or the minimum value) in the biological signal s between cp1 and cp2 is set as the extreme value p. In this paper, the extreme value p is used to mean the maximum or minimum value within a certain period, specifically between two cross points that cross the reference value. Further, in the following description, an example in which processing is performed using the maximum value that is the maximum value among the extreme values p will be described, but even if processing is performed using the minimum value that is the minimum value among the extreme values p. Alternatively, the processing may be performed using both the maximum value and the minimum value.

  In step S12 of FIG. 4, a reference maximum value pmax is calculated. Step S12 will be described with reference to FIGS.

  FIG. 7 is a diagram for explaining the subroutine of step S12. The maximum extremum p in the range of the predetermined time tc is calculated from the signal value of the biological signal as shown in FIG. First, in step S121 in FIG. 7, the variable y is initialized to zero. In the subsequent step S122, the extreme value p (for example, p1 in FIG. 8) to be compared is compared with the value of the variable y. If the extreme value p is larger than the variable y, the variable y is updated to the extreme value p (step S122).

  Until the predetermined time tc elapses (step S123: No), the extreme value p to be compared is sequentially updated from p1 to p6, and the maximum value is appropriately updated in step S122.

  When the predetermined time has elapsed (step S123: Yes), the extreme value p (p3 in the example shown in FIG. 8) recorded in the variable y at that time is determined as the reference maximum value pmax (step S124). Return to the flow of 4 (Return).

  In step S13 in FIG. 4, a reference period Ts is calculated. Step S13 will be described with reference to FIGS.

  FIG. 9 is a diagram for explaining the subroutine of step S13. First, in step S131, a counter variable n is set to 1 as initialization. In step 132, the target extreme value p is set. Specifically, the extreme value p (n) nth after the reference maximum value pmax calculated in step S12 is targeted.

  In step S133, pmax is compared with the signal value of the target extreme value p (n) (for example, p (1)) to determine whether the value is within a predetermined range. Specifically, it is determined whether it is within a range of ± 10% (90% to 110%) with respect to the signal value of pmax. If it is not within the predetermined range (step S133: No), the counter variable n is incremented, and the target extreme value p (n) is changed to the next extreme value (step S137). At this time, if n is larger than the predetermined range (step S138: No) and the reference period Ts cannot be determined a predetermined number of times, an error is determined, an abnormal signal is output, and the process ends (step S139, End).

  On the other hand, if it is determined that it is within the predetermined range (step S133: Yes), the time interval between pmax and p (n) is set to the candidate period Tn (T1 in the example of FIG. 10) (step S134). . The candidate period Tn is not within the predetermined period range, and an extremely short period is not set as a candidate period.

  For example, if you want to remove the heartbeat and venous valve operation sounds that are included when analyzing biological signals such as coughing and swallowing, do not use a period of 0.3 seconds or less, for example, that is less than the lower limit period of the signal you want to remove. As a result, the number of processes can be reduced.

  In the next step S135, it is determined whether or not there is an extreme value p within a predetermined range before and after the time twice as long as the candidate period has elapsed from pmax. Specifically, in the example shown in FIG. 10, whether or not there is an extremum p of the signal value within the predetermined range at a time within the predetermined range (within the broken line frame a) that has passed twice the candidate period T1 from pmax. to decide.

  In the example shown in FIG. 10, “within a predetermined range” is within a range of ± 10% (90 to 110%) of pmax in the y direction, and is twice (200%) to ± 20% of T1 in the x direction. The range (180% to 220%) is within the predetermined range.

  When the extreme value p does not exist within the predetermined range a (step S135: No), the flow after step S137 is continued. On the other hand, when the extreme value p exists in the predetermined range a (step S135: Yes), the candidate period Tn is determined as the reference period Ts (step S136), and the process returns to the flow of FIG. 4 (Return). ).

  Even if there are a plurality of maximum values (minimum values) within the reference period Ts, the reference period Ts can be obtained with high accuracy by simple processing. Therefore, it is not necessary to process a periodic biological signal having only one maximum value (minimum value) within the reference period Ts.

  In order to understand the concept, the concept of processing has been described with the image of offline processing. However, in the case of online processing, the reference period Ts in step S13 in FIG. 4 is set based on the first maximum value p1. You may perform the process to calculate in parallel. Alternatively, if the next maximum value p2 is larger than the maximum value p1, the local maximum value p2 is used as a reference, and the process of calculating the reference period Ts in step S13 in FIG. 4 is initialized and performed again in parallel. Well, not particularly limited.

  Subsequently, in step S21 of FIG. 4, a waveform is extracted (also referred to as clipping) from the biological signal s based on the reference period Ts calculated in step S13, and the extracted waveform is normalized. This process will be described with reference to FIG. FIG. 11 is a conceptual diagram for explaining processing for detecting a non-periodic waveform from the biological signal s. In the figure, a waveform is extracted from the biological signal s based on the signal values of the reference periods Ts and pmax and the timing information. Specifically, when there is an extreme value around pmax (90-110% of the pmax signal value) around the reference period Ts (90% to 110% of the reference period), one interval between the extreme values is set to the period Ts1. Judged as a periodic waveform. Examples of periodic waveforms extracted in FIG. 11 are wf1 to wf4. The reference period Ts may be sequentially replaced with the value of the period Ts1, or the reference period Ts and the period Ts1 may be replaced with an averaged value.

  Then, normalization processing for standardizing the extracted periodic waveform wf is performed. The normalization process is to expand and contract the time axis (horizontal axis) and the signal value axis (vertical axis) to a certain range value based on the peak value (also referred to as peak-to-peak) of the periodic waveform and the period Twfa. For example, the peak value and the cycle Twfa are converted so as to be within 256 values of 8 bits. By doing so, it is possible to extract “only the waveform shape information” obtained by removing the period and amplitude information from the extracted periodic waveform.

  Note that the signal value axis (vertical axis) may be normalized by the value of pmax0 without being normalized by the peak value, or may be normalized by the larger of pmax0 and pmax1, which is suitable for the characteristics of the periodic waveform to be removed. There is no limitation as long as normalization processing is performed by a method.

  The purpose of creating a standardized waveform is to improve the reduction in performance due to errors occurring when the signal waveform is averaged without normalization because the period Ts1, pmax1, and the crest value change due to a biological signal. is there. The “signal based on the periodic waveform” is a concept that means a normalized waveform that has been subjected to the normalization process.

  In this manner, in step S21, an initial normalized waveform is generated by generating a normalized waveform from the periodic waveform extracted in advance.

  In step S22, a periodic waveform is extracted from signals around the inspection target, the extracted periodic waveform is normalized, and the normalized periodic waveform is averaged with respect to the initial normalized waveform previously calculated in step S21. By doing so, the normalized waveform is sequentially updated. An updated version of the initial normalized waveform wfb (0) is a normalized waveform wfb (n). The averaging process here includes a known digital filter calculation process.

  In step S31, feature points are extracted from the waveform to be examined (wf3 in FIG. 11). Here, the feature point is extreme value information, for example, amplitude (or peak value) and period (time interval). The estimated periodic waveform wfc is calculated using these “feature points” of the inspection object wf3 and the “normalized waveform” in step S22. Specifically, a conversion process (also referred to as a restoration process) opposite to the normalization process is performed using the amplitude and period values of the inspection object wf3.

  By restoring the normalized waveform and calculating the estimated periodic waveform in this way, the periodic waveform can be accurately estimated even if the period or amplitude (crest value) of the periodic waveform in the biological signal to be examined changes. can do.

  When the amplitude and period of the inspection object wf3 are not correctly detected because the waveform of the inspection object wf3 includes the non-periodic waveform wfd, the amplitude and the period of the inspection object wf2 are obtained. Conversion processing (restoration processing) opposite to normalization processing may be performed using the values, and linear approximation or quadratic function approximation may be performed using the amplitude and period values obtained from the previous inspection object wf1. The same processing may be performed using the value obtained by estimating the amplitude and period of the inspection target wf3 using the function approximation method of the above, or the next inspection target may be stored once in the memory as in the offline processing. A function approximation may be performed using the value of the amplitude and period of wf4.

  Not only the period of the extreme value (maximum value) but also the value calculated by calculating the period between the maximum value and the minimum value, for example, it can be detected by using it for the signal of the feature point to be converted opposite to the normalization process. You may make it raise the precision of.

  In step S32, the estimated periodic waveform wfc calculated in step S31 is removed from the biological signal (raw waveform) of the inspection target (wf3), and the aperiodic waveform wfd is detected and the process ends (End).

  The processing has been described using the maximum value among the extreme values p. However, the processing is not limited to this, and the processing may be performed using the minimum value (negative extreme value) of the extreme values p. Furthermore, although the process of determining the calculation of the reference period Ts in step S13 based on whether or not extreme values with the same signal value exist at equal intervals has been described, the present invention is not limited to this. The following method may be used as a method of calculating the period using the “correlation coefficient”. (1) Based on a plurality of maximum values p (n) following the reference maximum value p (0), a plurality of candidate reference periods Ts between the reference maximum value p (0) and the plurality of maximum values p (n) (N) is set, and (2) the correlation coefficient between the waveform between the reference maximum value p (0) and the maximum value p (n) and the waveform between the maximum value p (n) and the time Ts (n). n is calculated, and (3) the maximum value p (m) corresponding to the waveform having the maximum value among the n correlation coefficients is obtained, and (4) the reference maximum value p (0) and the maximum value. The candidate reference period Ts (m) is calculated as the reference period Ts from the time between p (m).

  In the description of FIGS. 3 and 4 and the like, an example in which processing such as calculation of a reference period, waveform normalization, and extraction of an aperiodic waveform is performed serially has been described. However, the present invention is not limited thereto, and these processes are performed in parallel. Alternatively, the reference period Ts and the normalized waveform may be sequentially updated in real time. Further, the acquired biological signal s is processed off-line by the signal processing unit, so that the non-periodic waveform is detected with higher accuracy using not only the waveform signal before the biological signal to be examined but also the subsequent waveform signal. It may be.

  As described above, “extreme value extracting means for extracting an extreme value from a biological signal detected by the biological sensor, period determining means for determining the period of the periodic waveform included in the biological signal, and information on the period determined by the period determining means. A periodic waveform extracting means for extracting a periodic waveform from a biological signal detected by the biological sensor based on the signal, a signal based on the periodic waveform extracted by the periodic waveform extracting means, and a waveform signal to be examined extracted by the extreme value extracting means A non-periodic waveform extracting means for estimating a periodic waveform included in the waveform signal to be inspected using the extreme value information, and removing the estimated estimated periodic waveform from the waveform signal to be inspected; By using the “biological examination apparatus provided”, periodic biological signals that are not included in the examination (detection) included in the biological signals can be removed, and thus the examination accuracy can be improved. In particular, the contact-type sensor that measures the elastic vibration of the living body in close contact with the living body can reduce heartbeat and venous valve vibration when examining coughing and swallowing.

[Other Embodiments]
FIG. 12 is a block diagram illustrating a schematic configuration of a biological examination apparatus according to another embodiment. In the example shown in the figure, the examination target period is determined based on the signal of the second biological signal sensor, and the non-periodic waveform extraction process is performed in the first biological signal sensor during the examination target period. As the second biological signal sensor, for example, a body motion measuring unit or a microphone using an acceleration sensor described in JP-A-2007-125360 can be used.

  As shown in FIG. 12, the inspection target period is determined by the biological signal from the second biological signal sensor, and periodic body movements from the biological signal from the first biological signal sensor and the biological body from the outside are determined for the determined inspection target period. The noise which is the vibration transmitted to can be removed and reduced, and the inspection accuracy can be improved.

  FIG. 13 is an example in which a period and a time change of signal intensity (amplitude) when a biological signal is monitored are plotted. The period and the signal intensity are normalized and plotted based on a predetermined value. As shown in the figure, when cough occurs as a non-periodic waveform (non-periodic signal), the period and signal intensity cannot be obtained correctly, or both the period and signal intensity values change before and after that. I understand that. By judging this change, it can be judged that there is a high possibility that an aperiodic waveform has occurred in that period, so by setting the period before and after the change as the examination period, the subject to be examined without using the body movement measurement unit By determining the period, it is possible to perform coughing and swallowing tests with a single sensor, reducing the annoyance of the sensor attached to the subject and improving convenience.

  In addition, in order to increase the accuracy of the examination target period, a signal for the examination target period is generated in combination with the signal of the body movement measuring unit, so that the determination can be made more accurately than the examination target period, so that the examination can be performed with high accuracy. Furthermore, since a periodic signal waveform can be extracted, the amplitude signal of the extracted signal waveform is monitored, and if it is below a predetermined value, a sensor abnormality (failure, mounting failure) is judged and an abnormality is output. It is also possible.

It is a schematic diagram which shows the usage example of a biological signal sampling device. 1 is a cross-sectional view of a biosensor 1. FIG. It is a block diagram which shows schematic structure of the biopsy apparatus which concerns on embodiment. It is a flowchart explaining the process of the biopsy apparatus which concerns on embodiment. It is a figure explaining the subroutine of step S11. It is a figure which shows the relationship between the biometric signal from a biometric sensor, and a reference value. It is a figure explaining the subroutine of step S12. It is a figure explaining the calculation method of the largest extreme value p. It is a figure explaining the subroutine of step S13. It is a figure explaining the calculation method of the reference period Ts. It is a conceptual diagram for demonstrating the process which extracts a non-periodic waveform from the biosignal s. It is a block diagram which shows schematic structure of the biopsy apparatus which concerns on other embodiment. It is the example which plotted the time change at the time of monitoring a biological signal, and signal intensity (crest value).

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Biosensor 2 Signal processing part 210 Period determination part 220 Normalization waveform generation part 230 Aperiodic waveform extraction part

Claims (15)

A biological sensor for detecting a biological signal;
A signal processing unit that performs signal processing on a biological signal detected by the biological sensor,
The signal processing unit
Extreme value extraction means for extracting an extreme value from a biological signal;
A period determining means for determining a period of a periodic waveform included in the biological signal based on the extreme value information extracted by the extreme value extracting means;
Periodic waveform extraction means for extracting a periodic waveform from a biological signal detected by the biological sensor based on information on the period determined by the period determination means;
Using the signal based on the periodic waveform extracted by the periodic waveform extracting means and the extreme value information of the waveform signal to be inspected extracted by the extreme value extracting means, the periodic waveform included in the waveform signal to be inspected is estimated. A non-periodic waveform extracting means for removing the estimated periodical waveform estimated from the waveform signal to be inspected;
A biopsy device characterized by comprising: The biopsy apparatus according to claim 1, wherein the signal based on the periodic waveform extracted by the periodic waveform extracting means is created from a plurality of periodic waveforms. The biopsy apparatus according to claim 1 or 2, wherein the non-periodic waveform extraction means uses the amplitude and period of a waveform signal to be examined as extreme value information. The period determining means extracts a plurality of extreme values from a biological signal and determines the period based on the signal value of the extreme values or the time interval between the extreme values. The biological examination apparatus of any one of Claims. The period determining means extracts a plurality of extreme values from the biological signal, selects a plurality of candidate periods from a plurality of time intervals between the plurality of extreme values, and sets the candidate periods as a correlation between adjacent candidate waveforms. The biopsy apparatus according to any one of claims 1 to 3, wherein a number is calculated and a candidate period having the highest calculated correlation coefficient is set as a period of a periodic waveform included in the biological signal. 6. The biological examination apparatus according to claim 1, wherein the biological signal is a plurality of biological signals having different generation sources. 7. The non-periodic waveform extracting means detects a time when the periodic waveform signal is changed, and determines an inspection period for detecting the non-periodic waveform signal based on the detected time. The biological examination apparatus of any one of Claims. Having a plurality of biological sensors for acquiring biological signals;
The non-periodic waveform extraction means determines the examination period based on a biological signal detected by one biological sensor, and detects a non-periodic waveform signal from biological signals detected by other biological sensors in the determined examination period. The biopsy device according to claim 7, wherein the biopsy device is performed. The biopsy apparatus according to claim 1, wherein the determination unit determines an error when a periodic biological signal cannot be extracted. A program for a biological examination apparatus having a biological sensor for detecting a biological signal,
An extreme value extraction step of extracting an extreme value from a biological signal detected by the biological sensor;
A period determining step for determining a period of a periodic waveform included in the biological signal based on the extreme value information extracted in the extreme value extracting step;
A periodic waveform extraction step for extracting a periodic waveform from a biological signal detected by the biological sensor based on information on the period determined in the period determining step;
Using the signal based on the periodic waveform extracted in the periodic waveform extraction step and the extreme value information of the waveform signal to be inspected extracted by the extreme value extracting means, the periodic waveform included in the waveform signal to be inspected is estimated. A non-periodic waveform extraction step for removing the estimated periodical waveform estimated from the waveform signal to be examined;
A program for a biological examination apparatus that is executed by a computer. The bioinspection apparatus program according to claim 10, wherein the signal based on the periodic waveform extracted in the periodic waveform extraction step is created from a plurality of periodic waveforms. 12. The non-periodic waveform extraction step uses the amplitude and period of a waveform signal to be examined as extreme value information, and the program for a biological examination apparatus according to claim 10 or 11. The cycle determination step includes an extreme value extraction step of extracting a plurality of extreme values from a biological signal, and a cycle extraction step of determining a cycle based on a signal value of the extreme value or a time interval between the extreme values. The program of the biopsy apparatus of any one of Claims 10 thru | or 12 characterized by the above-mentioned. In the cycle extracting step, a plurality of candidate cycles are selected from a plurality of time intervals between extreme values, and a correlation coefficient between adjacent candidate waveforms in the case of the candidate cycle is calculated, and the calculated correlation coefficient is The biopsy apparatus program according to any one of claims 10 to 12, wherein the highest candidate period is a period of a periodic waveform included in the biological signal. 15. The program for a biological examination apparatus according to claim 10, wherein the biological signal is a plurality of biological signals having different generation sources.

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