JP6526383B2 - Biological signal processing apparatus and control method thereof - Google Patents

Description

  The present invention relates to a biological signal processing apparatus and a control method thereof.

  Sleep apnea (hypopnea) syndrome (Sleep Apnea (Hypopnea) Syndrome: SAS or SAHS) is accompanied by excessive daytime somnolence due to the division of sleep, and 5 consecutive apnea cycles for 10 seconds or more during sleep. It is a disease that occurs 30 times / 7 hours or more. Hereinafter, for the sake of convenience, SAS and SAHS will be collectively referred to simply as SAS.

  SAS is roughly classified into obstructive sleep apnea syndrome (OSAS), central sleep apnea syndrome (CSAS), and mixed sleep apnea syndrome (MSAS) that is a combination of these. In addition, MSAS may be regarded as OSAS because it shifts from CSAS to OSAS.

For diagnosis of sleep apnea hypopnea syndrome, measurement of oronasal breathing, snoring, arterial oxygen saturation (SpO ₂ ), respiratory effort, EEG, eye movement, masticatory muscle electromyography, electrocardiogram, body position, etc. overnight An overnight sleep polygraph (Poly-Somno-Graphy: PSG) test is required. However, the overnight sleep polygraph test usually requires a stay in a hospital and needs to be equipped with a large number of sensors, so the burden on the subject is relatively large. Therefore, a simpler screening test (simple PSG test) is often performed before performing the overnight sleep polygraph test. For example, Patent Document 1 discloses a sleep apnea test apparatus used for screening tests such as presence or absence of apnea and hypopnea, frequency, SpO ₂ value, snoring, respiratory effort exercise.

  It is important to confirm the presence of apnea and hypopnea for the diagnosis of SAS. Usually, detection of apnea and hypopnea is performed based on the measurement result of the respiration related waveform. The respiration related waveform to be measured includes an oronasal respiration waveform, a respiration effort waveform (abdomen and / or a chest movement waveform), an episternal fossa waveform and the like. Oro-nasal respiratory waveform is generally measured by a pressure sensor connected to a cannula, a temperature sensor attached near the mouth and / or nose, or the like. Also, in the respiratory effort waveform, it is common to measure changes in chest circumference and / or abdominal circumference caused by respiratory effort exercise as changes in electrical resistance using an acceleration sensor, a piezoelectric element or the like. Moreover, as for the suprasternal fossa waveform, it is common to measure the motion of the sternum with an acceleration sensor or a pressure sensor.

Unexamined-Japanese-Patent No. 2006-320732

  The respiration waveform in the PSG test may be measured by both the pressure sensor and the temperature sensor. Also, the respiratory effort waveform may be measured by attaching sensors to both the chest and the abdomen. However, it is not always measured by a plurality of methods, and even if it is measured and recorded by a plurality of methods, it may be desired to read a specific one or analyze data.

  However, it is troublesome for the user of the biological signal processing apparatus that analyzes the recorded data to confirm the type of the recorded data, for example, by referring to the directory of the recording medium. Therefore, it has been desired that the user can easily designate data to be read or analyzed.

  The present invention has been made in view of the problems of the prior art as described above, and the main object thereof is to easily select data that can be subjected to processing such as reading and analysis according to the recorded data. An object of the present invention is to provide a possible biological signal processing apparatus and its control method.

The above-mentioned object is a biomedical signal processing apparatus, comprising: a display means for displaying a screen for allowing a user to select a data file to be processed from a biomedical signal data file recorded in a recording medium; Determining means for determining options of data files selectable by the user; the determining means is for the data file corresponding to a predetermined group of biological signals among the data files recorded in the recording medium determining the choice, a group of predetermined biosignal, the measurement period overlap, Ri Oh a group of which that bIOLOGICAL signals measured at different sites or sensors, determination means, the predetermined biological signal group When there are multiple data files recorded corresponding to a file, there is an option to select one of the multiple data files and multiple data files. A choice of selecting a combination of is accomplished by determining to the biological signal processing apparatus according to claim Rukoto as a choice for the data file corresponding to a group of predetermined biological signal.

  With such a configuration, according to the present invention, it is possible to easily select data that can be processed, such as reading and analysis, according to the recorded data, and a biological signal processing device, and The control method can be provided.

It is a figure showing an example of composition of a living body signal measuring device as an example of a living body signal processing device concerning an embodiment of the present invention. It is a flowchart for demonstrating the operation | movement of the use data classification determination process in the biological signal measurement apparatus which concerns on embodiment of this invention. It is a figure showing typically an example of a setting screen of analysis processing in a living body signal measuring device concerning an embodiment of the present invention. It is a flow chart for explaining operation of analysis processing in a living body signal measuring device concerning an embodiment of the present invention. It is a figure which shows typically the example of a display of the respiration related waveform in the biosignal measuring apparatus which concerns on embodiment of this invention. It is a flow chart for explaining operation of report output processing in a living body signal measuring device concerning an embodiment of the present invention. It is a figure which shows typically the example of the SAS * electrocardiogram event relevance report which the biosignal measuring apparatus which concerns on embodiment of this invention outputs.

Hereinafter, the present invention will be described in detail based on exemplary embodiments with reference to the drawings.
FIG. 1 is a block diagram showing a configuration example of a biological signal measurement apparatus 100 as an example of a biological signal processing apparatus according to an embodiment of the present invention. The biological signal measurement device of the present embodiment has a configuration for directly acquiring respiration related waveform data from a subject. However, in the present invention, a configuration for directly acquiring respiration related waveform data from a subject is not essential. The biological signal processing apparatus according to the present invention may be able to obtain respiratory-related waveform data measured in advance by any method, for example, from a storage device or storage medium connected directly or via a network. .

(Constitution)
In the biological signal measurement apparatus 100 according to the present embodiment, the SpO ₂ sensor 101 is a transmission type sensor that measures arterial blood oxygen saturation, for example, with the finger tip of a subject. The cannula 102 has an opening in the vicinity of the nostril and the mouth of the subject, and is used by the connected air flow sensor (pressure sensor) 106 to detect the nasal breathing waveform or snoring noise of the subject. The air flow sensor (temperature sensor) 113 is, for example, a thermocouple sensor (thermocouple), and is mounted such that a heat sensitive portion is disposed in the vicinity of the oronasal to sense the nasal breathing waveform of the subject. The chest / abdominal sensor 103 is a sensor for detecting a respiratory effort movement of a subject. Hereinafter, the air flow sensor (pressure sensor) 106 may be simply referred to as the pressure sensor 106, and the air flow sensor (temperature sensor) 113 may be simply referred to as the temperature sensor 113.

  As described above, the biological signal measurement apparatus 100 according to the present embodiment includes two types of airflow sensors 106 and 113 and a chest / abdominal sensor 103 as sensors for measuring a respiration related waveform. From the oro-nasal respiration waveform (pressure change waveform) measured by the pressure sensor 106, both apnea and hypopnea can be detected. Further, from the oro-nasal respiration waveform (temperature change waveform) measured by the temperature sensor 113, an apnea state can be detected. The apnea condition can be detected more accurately from the oronasal respiration waveform measured by the temperature sensor 113. The oro-nasal respiration waveform can be measured using only the pressure sensor 106. The temperature sensor 113 may not necessarily be used, but here, the temperature sensor 113 is also used.

  The electrocardiogram electrode 104 is an electrode for acquiring an electrocardiogram, for example, an electrode for detecting a monopolar or bipolar two-channel electrocardiogram. The acceleration sensor 105 is a sensor for measuring body position (for example, right lateral position, left lateral position, supine position, prone position, and standing position) and body movement.

  The memory 107 is used by the control unit 110 for work. The memory 107 may also have a non-volatile area that can be used to store device settings. Additionally, memory 107 may include data storage or storage. The display unit 108 includes, for example, a liquid crystal display (LCD), and is used to display an operation state of the apparatus, a measurement waveform, user information, a GUI, and the like.

  The control unit 110 controls the operation of the biological signal measurement apparatus 100. The control unit 110 includes, for example, a CPU, a non-volatile memory storing a control program executed by the CPU, and a RAM used to execute a program read from the non-volatile memory by the CPU. Note that the memory 107 may be used as at least a part of the non-volatile memory and the RAM.

The input unit 109 is an input device group for the user to input various instructions and settings to the biological signal measuring apparatus 100. The input devices that the input unit 109 can include include devices that perform mechanical input such as switches, buttons, dials, and touch panels, as well as devices that receive non-mechanical input such as voice commands. The input from the input unit 109 is given to the control unit 110, and the control unit 110 realizes an operation according to the input.
A sound generator such as a speaker may be provided to notify the user of the operation state of the apparatus, the occurrence of an error, the operation procedure, and the like by voice.

  The recording unit 111 records the measured biological signal as a data file on a recording medium, or reads the measured data recorded on the recording medium. The recording unit 111 may have any configuration depending on the recording medium to be used, but here, a removable semiconductor memory card is used as the recording medium.

  The output unit 112 is an interface for communicating with an external device. There are no particular restrictions on the type of external device that can be connected and the communication protocol, and the communication medium may be either wired or wireless. Note that recording may not be performed in the recording unit 111, but may be performed by an external device that can communicate through the output unit 112. In addition, the output unit 112 may correspond to different communication methods, and may have a connector corresponding to the communication method. For example, when a printer is connected as an external device, the printer may be connected to the output unit 112 by a cable or may be connected through a wireless network.

(Measurement and recording operation)
When the sensors 101, 103 to 105, 113 and the cannula 102 are attached to a predetermined part of the subject and the instruction to start measurement is input from the input unit 109, the biological signal measuring apparatus 100 starts measuring and recording the biological signal. Do. The control unit 110 applies predetermined processing, such as A / D conversion and filter processing, to input signals from various sensors 101, 103 to 106, 113, for example, and associates the processing with the measurement time and sequentially to the memory 107. I will write.

  The oro-nasal respiratory waveform is acquired from the pressure sensor 106 connected to the cannula 102 and the temperature sensor 113. Here, the cannula 102 is an oro-nasal cannula having an opening in the vicinity of the mouth, and it is assumed that an oro-nasal respiratory waveform can be obtained, but it may be a nasal cannula. In this case, a nasal respiratory waveform can be obtained. . In the present specification, “respiratory waveform” is not a displacement of a body part due to a breathing movement of a subject, but is measured in the vicinity of the mouth, the nose, or both if it is a measurement of airflow by respiration. It may be one.

  On the other hand, a respiratory effort waveform obtained by measuring the displacement of the body part due to the respiratory movement of the subject is obtained from the chest / abdominal sensor 103. Although the suprasternal fossa waveform is not measured in this embodiment, it may be configured to acquire the suprasternal fossa waveform. The presence or absence of snoring can also be detected from the output of the pressure sensor 106.

  The control unit 110 supplies the various measurement data written in the memory 107 to the recording unit 111, and sequentially records the data as a data file in a predetermined format on the recording medium. For example, by recording using a file name predetermined for each type of measurement data, it becomes possible to grasp the type of measured data from the name of the recorded data file.

(Use data type determination process)
Hereinafter, the process using the data file of the biological signal which overlaps in the measurement period recorded in this way will be described. The biological signal measurement apparatus 100 according to the present embodiment can use both the pressure sensor 106 and the temperature sensor 113 as a flow sensor that measures a respiration waveform. Therefore, when analyzing the measured respiration waveform, the user may be able to select which sensor is used to measure the data. The user performing the analysis does not necessarily know if both sensors were used at the time of recording, and if it is desired to use only the data measured by one sensor even if the measurement is performed by both sensors There is also. Thus, the biological signal measuring apparatus 100 according to the present embodiment can be selected by the user as the processing target when the option of the data file that can be the processing target can change according to the data file recorded (measured). Automatically decide which data file options to use.

  FIG. 2 is a flowchart illustrating the operation of the usage data type determination process performed by the biological signal measurement apparatus 100 according to the present embodiment. The use data type determination process is a process of automatically determining options of data files selectable by the user as processing targets such as reading and analysis in accordance with the recorded data files. For example, it can be implemented before displaying a screen that allows the user to select a processing target.

  In addition, the group of the biological signal used as the object of the automatic determination process of an option shall be preset. In the following, as an example, the processing in the case where the respiration waveform measured by the pressure sensor and the respiration waveform measured by the temperature sensor are preset as a group of biological signals to be subjected to the automatic determination processing of the option will be described. Do. However, the same processing may be performed for other vital signal groups, such as a group of forced respiration waveforms measured by the abdominal sensor and a forced respiration waveform measured by the chest sensor. Here, as a typical example, although a group of biological signals of the same name that can be measured by different parts or sensors is described, arbitrary plural biological signals are registered as a group to be subjected to automatic selection processing of options. It is possible.

  First, the control unit 110 searches for a data file corresponding to a group of biological signals to be subjected to a process of automatically determining a predetermined option among data files recorded on a recording medium mounted in the recording unit 111. Do. Here, as described above, the data file of the respiration waveform measured by the pressure sensor or the temperature sensor is searched (S201). This may be, for example, a search for a data file having a specific file name that the respiratory waveform data file has. Here, the respiratory waveform data file (pressure sensor data) measured using the pressure sensor 106 and the respiratory waveform data file (temperature sensor data) measured using the temperature sensor 113 are recorded with distinguishable file names. It is assumed that In addition to the search based on the file name, any method may be used such as a search based on information recorded in a specific area (for example, a header area) of the data file.

  In step S203, the control unit 110 confirms whether there is a respiratory waveform data file determined to be abnormal in the analysis processing or the like performed earlier. In this embodiment, a specific symbol or character string is included at a specific position (for example, the beginning or the end) of the file name for a data file determined to be abnormal at the time of analysis processing to be described later. Therefore, the control unit 110 can identify the abnormal data file from the file name.

  If there is an abnormal data file, the control unit 110 excludes the respiratory waveform data file from the usage target in S205, and advances the process to S207. Therefore, at the time of reanalysis, a data file determined to be abnormal in the past is not automatically used. If there is no abnormal data file in S203, the control unit 110 may proceed with the process directly to S207, but the user is asked whether or not to automatically determine the presence or absence of abnormal data, and there is an instruction to automatically determine. For example, the abnormality determination process may be performed on the data file. Details of the abnormality determination processing will be described later.

  In step S207, the control unit 110 determines whether both of the pressure sensor data and the temperature sensor data exist as objects to be used. If both exist, the process proceeds to step S209. If one does not exist, the process proceeds to step S211.

  In S209, the control unit 110 determines an option of selecting a combination of a plurality of data files and an option of individually selecting data files as options of usable data files. Here, it is assumed that pressure sensor data and temperature sensor data relating to a respiration waveform are recorded, and neither is determined to be abnormal. Therefore, the control unit 110 determines and processes three of (1) both pressure sensor data and temperature sensor data, (2) only pressure sensor data, and (3) only temperature sensor data as options of a data file related to a respiration waveform. Advance to S217.

  On the other hand, in step S211, the control unit 110 determines whether only pressure sensor data exists as a use target. If so, the process proceeds to step S213. If not (if only temperature sensor data exists as a use target), the process is performed. Proceed to S215.

In step S213, the control unit 110 determines options of the usable respiration waveform data file as only pressure sensor data, and advances the process to step S217.
In S215, the control unit 110 determines options of the usable respiration waveform data file as only the temperature sensor data, and advances the process to S217.

In step S217, the control unit 110 sets a setting screen 300 for analysis processing including a respiratory waveform type selection drop-down list 301 having the option determined in any of steps S209, S213, and S215 as illustrated in FIG. Displayed on the display unit 108. The setting screen 300 includes a parameter area 302 for adjusting a condition for determining an abnormality (event) for each measurement data to be processed.
When the start button 303 is clicked on the setting screen of S217 and an instruction to start analysis processing is instructed, the control unit 110 ends the usage data type determination processing and starts analysis processing described later.

  The use data type determination process shown in FIG. 2 can also be performed when analysis processing is performed on a data file that has already been read, or when only data file reading is performed. In the latter case, the control unit 110 determines options in the screen for designating data to be read in S209, S213, and S215, and displays a selection screen of read data including the drop-down list 301 in S217. Then, when the start of the reading process is instructed, the control unit 110 causes the memory 107 or another recording device (such as the built-in hard disk, etc.) to contain the data file designated as the reading process target. Read into).

  In addition, here, as an example of a group to be subjected to the option automatic determination process, the operation when the use data type determination process is applied to the pressure sensor data of the respiratory waveform and the temperature sensor data group has been described. A plurality of biosignal data files can be included in the group to be subjected to the automatic determination process of options.

  Moreover, only the data file of the biological signal measured by one means or site may be registered in the group to be subjected to the option automatic determination process. In this case, one option is determined whenever there is a data file of biomedical signals registered in the group. In addition, if it is determined that there is an abnormality even if the data file exists, or if it does not exist, the user may be notified.

(Analysis process)
Next, analysis processing of measurement data performed by the control unit 110 will be described using a flowchart shown in FIG.
In step S401, the control unit 110 reads out, for example, the biological signal data file to be processed including the respiratory waveform data file specified on the setting screen illustrated in FIG.

In step S403, the control unit 110 performs analysis processing predetermined for each predetermined unit on the time series data included in the read data file. Although the content of the analysis process is not particularly limited, the following process can be exemplified.
・ Respiration waveform data (pressure sensor data): detection of presence / absence of apnea and hypopnea interval (SAS event), duration and number of times,
Respiration waveform data (temperature sensor data): detection of presence / absence of apnea section (SAS event), duration and number of times,
-Forced respiration waveform data (both chest and belly): detection of presence or absence of abnormality (SAS event), duration and number of times,
-SpO ₂ sensor data: Presence or absence of SpO ₂ drop (SAS event) or more, detection of duration and number of times, Acceleration sensor data: Detection of body position and its change, presence or absence of body movement, duration and number of detection -Electrocardiogram waveform data: Extraction of feature points and amplitudes for each heartbeat waveform, detection of instantaneous heart rate (maximum, minimum, average) obtained from RR interval and detection of predetermined abnormality (electrocardiogram event)

  When analyzing and processing both pressure sensor data and temperature sensor data as respiration waveform data, the pressure sensor data does not detect the apnea section but detects the low respiration section, and the temperature sensor data is the apnea section. It may be configured to detect.

  Then, when an event is detected (S 405, YES), the control unit 110 sets event data such as information on the detected event type and occurrence time as event data, for example, in a recording medium or another recording device. Record (S407). The data of predetermined detection items other than the event may be sequentially recorded, or may be recorded when the processing on a data file basis is completed.

  When an event is detected, the control unit 110 performs waveform registration processing in order to use it later when displaying or printing measurement data of the event occurrence time point and its vicinity as a report (S409). For example, in this embodiment, when an electrocardiogram event is detected, as shown in FIG. 5, it is within a predetermined time range starting from the start time point of the electrocardiogram event (here, 1 minute before and after). ), When there is an apnea hypopnea event (SAS event), measurement data and event data for a predetermined time range (here, three minutes before and after) starting from the start time of the electrocardiogram event Is extracted and registered as a waveform (recorded as a file). The conditions for waveform registration are predetermined for each type of data file, and the control unit 110 performs waveform registration when an event is detected and the conditions are satisfied. Further, it is assumed that the type of measurement data to be waveform registered is also determined in advance.

Note that the conditions for waveform registration described here and the base point and period of measurement data to be registered are merely examples, and the waveform of measurement data for 6 minutes before and after, or only before or after the start time of an electrocardiogram event It may be registered or the base point may be changed according to the event.
Further, as described above, in the case where the waveform registration necessity is determined in consideration of the analysis results of other data files, the determination may not be made at the time of S409. Therefore, the waveform registration processing may be executed after analysis processing of all the data files to be processed is completed (S417, YES). The control unit 110 adds, to the registered waveform data, for example, a file name including a name according to the type of registration condition and a serial number, and records the same. Thereby, registered waveform data satisfying a specific condition can be read out from the file name.

  In step S411, the control unit 110 determines whether analysis processing has been performed to the end of the data file. If unanalyzed data still remains (S411, NO), the processing returns to step S403 and the above-described processing is repeated. If the analysis processing has been performed to the end of the data file (S411, YES), the control unit 110 determines in S413 whether the data file for which analysis has been completed is abnormal. The abnormality determined here is a determination that the measurement itself is not correctly performed, unlike the event detected in the above-described analysis processing. Most typically, if there is a section in which a state in which the signal swing is abnormally small continues for a predetermined time or more, it is considered that the section is not correctly measured. The control unit 110 determines that the data file meeting such predetermined conditions is an abnormal file, and performs an abnormal registration process in S415.

  The abnormality registration process is a process that makes it possible to identify a data file that is determined to be abnormal because normal measurement is not performed, and for example, a predetermined symbol or character string is inserted at a specific position of a file name. It may be. Alternatively, data indicating a list of data file names determined to be abnormal may be recorded. When the abnormality registration process is completed, control unit 110 advances the process to step S417.

Note that for data files that are determined to be abnormal because normal measurement has not been performed, the process proceeds to S 415 to perform abnormal registration processing, even if analysis processing has not been performed to the end. If there is a data file in (2), analysis of the next data file may be started.
Thus, when all the data files to be processed have been processed (S 417, YES), the control unit 110 ends the analysis processing.

  Note that when the analysis processing is completed, the data file determined to be abnormal is either the pressure sensor data file or the temperature sensor data file, and the other is not analyzed (selected as a processing target of analysis in the processing of FIG. If not, the control unit 110 may check whether the other data exists, and if so, may inquire the user whether or not to perform analysis again using the other data. Then, if there is an instruction from the user to analyze again in response to the inquiry, the control unit 110 can execute the above-described analysis processing with the other data file as the processing target.

  If the detection results do not match for the same event that can be detected independently from different measurement data, such as an apnea event that can be detected with each of pressure sensor data and temperature sensor data, that is recorded as an event. The waveform of the detection source may be registered. This enables the user to perform an operation (event editing) of determining an event detection result to be performed later while comparing the waveform of the detection source, and can improve usability.

(Report output process)
Next, the operation of the report output process for evaluating the association between the SAS event and the electrocardiogram event in the biological signal measurement apparatus 100 of the present embodiment will be described using the flowchart shown in FIG. This report output process is executed, for example, when the user instructs "SAS · ECG event relevance report output" from the menu screen displayed on the display unit 108. Here, it is assumed that the report output about the measurement result in which the analysis processing described above is completed is instructed.

  In step S601, the control unit 110 reads out registered waveform data registered on the condition that the SAS event is present in the vicinity of the occurrence time of the electrocardiogram event from the recording medium or other recording apparatus through the recording unit 111 to the memory 107. . As described above, since the registered waveform data file has a file name according to the registration condition, the control unit 110 is registered under the condition that the SAS event is present in the vicinity of the occurrence time of the electrocardiogram event. One registered waveform data corresponding to the waveform data is read out. When registered waveform data exists in the memory 107, S601 may be omitted.

In step S603, the control unit 110 lays out waveform data from the registered waveform data in a predetermined report format.
Here, an example of the format of the SAS / electrocardiographic event relevance report in the present embodiment will be described with reference to FIG.

  As shown in FIG. 7, the SAS / electrocardiographic event relevance report of the present embodiment is a report in which the respiration related waveform and the electrocardiographic waveform are arranged so as to be contrastable. Specifically, a respiration-related waveform area 701 for arranging a respiration-related waveform and an electrocardiogram waveform area 702 for arranging an electrocardiogram waveform have a same direction as a time axis and a point in the time axis direction (in FIG. In the same manner as in FIG. Although FIG. 7 shows an example in which both the respiration related waveform area 701 and the electrocardiogram waveform area 702 are arranged in the same page, they may be divided and output on a plurality of sheets or screens.

Then, in the respiration related waveform area 701, a waveform based on the waveform data of the entire period included in the registered waveform data (in this embodiment, measurement data for 6 minutes) is laid out in accordance with the size of the respiration related waveform area 701. Ru. Here, a total of five waveforms of respiration waveform (pressure sensor data and temperature sensor data), respiration effort waveform (data measured on chest and belly), and SpO ₂ sensor data waveform are presented as respiration related waveforms.

  On the other hand, in the electrocardiogram waveform area 702, an electrocardiogram waveform based on electrocardiographic waveform data for 15 seconds before or after the start time of the electrocardiographic event (the start time of the electrocardiographic event 705 in FIG. 7) Are laid out for two channels (ECG ch.1, ECG ch.2).

  The respiration-related waveform area 701 and the electrocardiogram waveform area 702 share the time corresponding to the center position, but the time becomes less corresponding as they move left and right. Therefore, in the respiration related waveform area 701, a set of indices 711 and 712 indicating the start point and the end point of the measurement time of the electrocardiogram waveform displayed in the electrocardiogram waveform area 702 is added. That is, as indicated by dotted lines 713 and 714, the entire electrocardiogram waveform area 702 corresponds to the section of the indices 711 and 712 on the time scale of the respiration related waveform area 701. The dotted lines 713 and 714 may or may not be included in the actual report.

In addition, a mark 706 indicating the position where the time coincides between the respiration related waveform area 701 and the electrocardiogram waveform area 702 is provided on the upper side of the electrocardiogram area 702. A mark 706 indicates a position on the time axis (here, the horizontal direction) at which the time coincides with each other in the respiration related waveform area 701 and the electrocardiogram waveform area 702, it is indicated in another shape and position. May be
Further, each waveform data is shaded based on the event data to indicate the type and section of the detected event according to the type.

  As described above, in the present embodiment, it is possible to set independent time scales in the respiration related waveform area 701 and the electrocardiographic waveform area 702, and the respiration related waveform area 701 and the electrocardiogram waveform area 702 can be set at one point on the time axis. It arranged so as to correspond to the same time. By making the time scale of the respiration related waveform area 701 larger than the time scale of the electrocardiographic waveform area 702, both the SAS event and the electrocardiographic event (abnormality of the electrocardiographic waveform) occurring close to each other can be obtained. It can be evaluated on a time scale suitable for Note that a large time scale means that a time corresponding to a unit length is long or a scale of time is large. Note that specific time scales of the respiration related waveform area 701 and the electrocardiogram waveform area 702 can be set to values suitable for evaluation according to the output size, resolution, etc., and according to the waveform to be laid out. . The above mentioned timescales of 6 minutes and 30 seconds throughout the region are an example.

  Although the case where registered waveform data has measurement data of equal time before and after the start time of an electrocardiogram event is described here, the base point may not be at the center of the measurement section included in the registered waveform data. . In this case, the position where the time coincides between the respiration related waveform area 701 and the electrocardiographic waveform area 702 does not become the center position in the time axis direction. The positions of the mark 706 and the markers 711 and 712 also change in accordance with the base point.

  After performing the layout as described above, the control unit 110 outputs a report in S605. The output may be print output to a printer connected through the output unit 112, or may be output to a recording medium or an external device as electronic data such as PDF format. Also, it may be displayed on the display unit 108 separately.

  In step S607, the control unit 110 confirms whether report output processing has been performed for all registered waveform data, and if there is unprocessed registered waveform data, returns the processing to S601 and performs output processing for all registered waveform data. End the report output process.

  The biological signal processing apparatus according to the present invention can also be realized as a program (application software) for realizing the functions described above on a generally available general-purpose information processing apparatus such as a personal computer. Therefore, such a program and a storage medium storing the program (an optical recording medium such as a CD-ROM or a DVD-ROM, a magnetic recording medium such as a magnetic disk, a semiconductor memory card, etc.) also constitute the present invention. .

Claims (8)

A biological signal processing apparatus,
Display means for displaying a screen for allowing the user to select a data file to be processed from data files of biological signals recorded in the recording medium;
Determining means for determining options of data files selectable by the user from the screen; and the determination means corresponds to a predetermined group of biological signals among the data files recorded in the recording medium Determine the options for the data file to be
Group of said predetermined biosignal, the measurement period overlap, Ri Oh a group of BIOLOGICAL signals that are measured at different sites or sensors,
The determining means, when a plurality of data files corresponding to the predetermined group of biological signals are recorded, a combination of an option for selecting one of the plurality of data files and the plurality of data files and option of selecting, the decision to the biological signal processing apparatus according to claim Rukoto as a choice for the data file corresponding to a group of predetermined biological signal. Said determining means, among the plurality of data files corresponding to the group of the predetermined biological signal, the biological signal according to claim 1, characterized in that determining the choice by excluding data file not normal Processing unit. Biological signal processing apparatus according to claim 1 or 2, characterized by further comprising an analysis means for analyzing the data file selected by the user through the screen. When the plurality of data files corresponding to the predetermined group of biological signals are selected through the screen, the analysis means analyzes each of the plurality of data files, and the analysis results do not match The biological signal processing apparatus according to claim 3, wherein the apparatus is recorded as an event. The plurality of data files corresponding to the group of predetermined biological signals are a data file of a respiration waveform measured using a belly sensor and a data file of a respiration waveform measured using a chest sensor The biological signal processing apparatus according to any one of claims 1 to 4 , characterized in that. The plurality of data files corresponding to the predetermined group of biological signals are a data file of a respiration waveform measured using a pressure sensor and a data file of a respiration waveform measured using a temperature sensor The biological signal processing apparatus according to any one of claims 1 to 4 , characterized in that A control method of a biological signal processing apparatus having display means for displaying a screen for allowing a user to select a data file to be processed from a data file of biological signals recorded in a recording medium, comprising:
The decision means of the biomedical signal processing apparatus comprises a decision step of deciding options of data files selectable by the user from the screen,
In the determination step, the determination means determines an option for a data file corresponding to a predetermined group of biological signals among the data files recorded in the recording medium,
Group of said predetermined biosignal, the measurement period overlap, Ri Oh a group of BIOLOGICAL signals that are measured at different sites or sensors,
When the plurality of data files corresponding to the predetermined group of biological signals are recorded in the determination step, the determination means has an option of selecting one of the plurality of data files, and the plurality of data a choice of selecting a combination of files, the control method of the determination to the biological signal processing apparatus according to claim Rukoto as a choice for the data file corresponding to a group of predetermined biological signal. The computer, of the means included in the biological signal processing apparatus according to any one of claims 1 to 6, Help program to function as at least the display means and said determining means.