JPS6120534A - Sleeping polygraph data collection apparatus - Google Patents

Abstract

(57) [Summary] This bulletin contains application data before electronic filing, so abstract data is not recorded.

Description

[Detailed Description of the Invention] "Field of Industrial Application" This invention relates to a polysomnography data collection device used to collect data useful for diagnosing neurological disorders, etc. in adults, the elderly, and infants. be.

"Prior Art" It is already known that tracing and analyzing multi-item physiological data during sleep is effective in diagnosing neurological disorders and the like. This method, called polysomnography, continuously measures and analyzes the state of biological activity during sleep (8 to 10 hours) from sleep onset to awakening 1, and determines the functional dynamic characteristics of the brain and central nervous system. By analyzing this, it is especially used for early detection of neurological disorders in newborns and infants.

However, there are the following conditions for measuring multiple items of physiological data during sleep, and measurements using fully automated devices are internal.

■ Processing of the obtained physiological data f: Since the meaning of physiological data differs depending on the sleep level, it is necessary to process the obtained physiological data appropriately according to the sleep level.

■ Physiological data influences each other.

The obtained physiological data may be contaminated with noise, especially due to body movements, and it is necessary to process the obtained physiological data particularly in accordance with the body movements.

■ The sleep level is officially determined after analyzing each physiological data according to the tentatively determined sleep level.

Due to the above-mentioned circumstances, at present, multiple items of physiological data during sleep are directly led to a waveform recording device, and the waveforms obtained are directly read and analyzed by a doctor.

"Problems to be Solved by the Invention and Purpose of the Invention" Therefore, when trying to obtain multiple items of physiological data during sleep, for example, in order to obtain physiological data for 3 days of 8 to 10 hours, measurement and monitoring of traps all night long. It took a total of 18 specialists and 20 days to organize and analyze this physiological data.
This method not only requires a lot of manpower, but also has the disadvantage of being time-consuming.

In addition, among physiological data, heart rate, brain waves, etc.
Although there are devices that produce numerical data, it has been impossible to produce data that corresponds to the measurement conditions described above. Therefore, there is a need for an apparatus that can collect data corresponding to the above-mentioned measurement conditions and that can collect data in a conveniently organized format for later analysis.

The present invention was made based on the above-mentioned demands.
The purpose is to process the obtained physiological data according to the measurement conditions described above while making use of the excellent sleep quality judgment of specialists, and to collect physiological data so that analysis based on the physiological data can be easily performed later. An object of the present invention is to provide a polysomnography data collection device that performs.

"Means for Solving the Problem" Therefore, the present invention provides a real-time waveform recording device that records in real time a plurality of physiological data obtained from a sensor installed on a subject, and at least one of the plurality of physiological data. A plurality of A/D converters that simultaneously sample and digitize nystagmus data, change rate data of this nystagmus data, and body movement data at regular intervals, and a sleep V-bell according to the condition of the subject. The A/D is connected to the sleep pulse input circuit for inputting the data, and the A/D is connected once every 1 epoch, which is the time required for the real-time waveform recording device to feed one page of recording paper.
A polysomnography data collection device is constituted by each output of the converter and a storage device for storing sleep level data obtained from the sleep input circuit.

"Operation of the Invention" When collecting multi-item physiological data during sleep, a doctor determines and inputs the sleep level from the waveform from the real-time waveform recording device and the condition of the subject using the sleep level input circuit. At this time, at least the nystagmus data, the rate of change data of the nystagmus data, and the body movement data among the physiological data obtained from the sensor attached to the subject are sampled and digitized for each step. Correlate the above sleep level data at regular intervals (set)
Remember. As a result, physiological data is stored in a format that can be appropriately processed by taking into account the effects of body movements, etc., and when the patient sleeps, it is temporarily determined by the doctor. 1lV
c is determined and input from the sleep level input circuit, but the data is stored in a format that makes it easy to determine the official sleep level at this time later.

“Embodiments of the invention” An embodiment of the present invention will be described below with reference to the drawings.

FIG. 1 shows a polysomnography data collection device 100 of the present invention.
1 is a block diagram of a polysomnography data processing device including: FIG. In the figure, numerals 1 to 6 indicate sensors to be mounted on the subject. 1 is an electroencephalogram sensor for obtaining brain wave data, 2 is a nystagmus sensor for obtaining nystagmus data, 3 is a body movement sensor for obtaining body movement data, 4 is a respiration sensor for obtaining Fi respiration data, 5 6 indicates an electrocardiogram sensor for obtaining electrocardiogram data, and 6 indicates a sweat sensor for obtaining sweat data. These sensors 1 to 6 include a transducer and an amplifier.

7 to 12Vi, showing a real-time waveform recording device that records physiological data obtained by each sensor 1 to 6 in real time. The real-time waveform recording device 7 outputs an electroencephalogram waveform based on the electroencephalogram data obtained by the electroencephalogram sensor 1, and the real-time waveform recording device 8 outputs an electroencephalogram waveform based on the electroencephalogram data obtained by the nystagmus sensor 2. A real-time waveform recording device 9 that outputs the waveform of the waveform
outputs a body movement waveform based on the body movement data obtained by the body movement sensor 3, and the real-time waveform recording device 10 records a waveform indicating a breathing state based on the breathing data trap obtained by the breathing sensor 4. , the real-time waveform recording device 11 records an electrocardiogram waveform based on the electrocardiogram data obtained by the electrocardiogram sensor 5, and the real-time waveform recorder 12 records the waveform of a sweating state based on the sweating data obtained by the sweating sensor 6. do.

13 indicates a sleep level input circuit for a doctor to input a sleep level. The doctor observes the waveforms recorded by the real-time waveform recording devices 7 to 12 and the condition of the subject, and determines the swelling level as appropriate, for example, in six stages (awake, stages 1 to 2, REM stage). Select and enter. It is possible to determine whether the examinee is normal or abnormal based on changes in sleep level during sleep, cycles, total sleep time, and whether there are changes in heart rate or body movements corresponding to the sleep level ( Normally, both heart rate and body movement increase during the R and EM periods.) It is possible to determine whether the subject is normal or abnormal.

14 indicates a differential circuit. Differential circuit 14 is nystagmus sensor 2
The nystagmus data obtained by this method is differentiated to obtain change rate data of the nystagmus data.

15 indicates a QR8 detection circuit, and this QR8 detection circuit 15
is the QR from the electrocardiogram data obtained by the electrocardiogram sensor 5.
8 (a group of waves called Q waves, R waves, and S waves in an electrocardiogram waveform), and at the time of detection, a pulse having a pulse width smaller than 1 second is output.

16-zxVi A/D converter is shown. A/D converter 16
~21 samples and digitizes physiological data simultaneously every 091 seconds. That is, the A/D converter 16 is connected to the nystagmus sensor 2 to digitize analog nystagmus data, and the A/D converter 17 is connected to the differentiation circuit 14 to digitize the analog nystagmus data. rate data
The A/D converter 18 is connected to the body movement sensor 3 to digitize the analog body movement data, and the A/D converter 19 is connected to the respiratory sensor 4 to digitize the analog respiratory data. The A/D converter 21 is connected to the QR8 detection circuit 15 to digitize the output from the QR8 detection circuit 15, and the A/D converter 21 is connected to the sweat sensor 6 to digitize analog sweat data.

22-28 are data storage devices. Data storage device 2
2 to 28, the real-time waveform recording devices 7 to 12 are recording paper IK.
-) is set and stored every epoch (20 seconds), which is the time required to feed the data. In addition, the data storage devices 22 to 28Vi operate in synchronization, and each
The data stored in the data storage devices 22 to 28 at 0 seconds is stored in the respective data storage devices 22 during the same time period.
~28 is output as the stored data. In this example, data stored during 20 seconds is output during the next 20 seconds. A sleep level input circuit 13 is connected to the data storage device 22.
2 outputs the stored sleep level to the selection coefficient setting circuit 31. In addition, each data storage device 23.24#'i A/
They are connected to D converters 16 and 17 and store nystagmus data and its rate of change data, respectively. Furthermore, the data storage device 2
The rate of change data of the 4KF stored nystagmus chart data is output to the nystagmus level detection circuit 30. The data storage device 25 is
It is connected to the converter 18, stores body movement data, and further outputs the stored body movement data to the body movement level detection circuit 29.

Body movement level detection circuit 29c adds body movement data for the given 20 seconds (adds data corresponding to amplitude in waveform)
The intensity of the body movement is divided into five levels, for example, and the corresponding level data is output to the selection coefficient setting circuit 31.

The nystagmus level detection circuit 30 performs addition of change rate data (addition of Nockles number) of nystagmus data during a given acceleration period, and calculates "REM (Rapid Eye Movem)".
ent) Obtain the number of occurrences of “similar” and set this number to 5, for example.
It is divided into stages and the corresponding stage data is sent to the selection coefficient setting circuit 3.
Output to 1.

The selection coefficient setting circuit 31 receives the sleep level data output from the data storage device 22 , the stage data of the body movement level output from the body movement level detection circuit 29 , and the nystagmus level data output from the nystagmus level detection circuit 30 . Based on the stage data, a detection circuit selection coefficient is determined and outputted to the circuit group selection control circuit 32. The circuit group selection control circuit 32 selects a required detection circuit from the detection circuit groups 33 to 39 based on the detection circuit selection coefficient or the sleep level given from among the sleep level designation circuits, and selects a required detection circuit from the detection circuit groups 33 to 39, and selects a required detection circuit from the detection circuit groups 33 to 39.
~ Connect to 28.

The detection circuit groups 33 to 39 each include a plurality of detection circuits each having a predetermined threshold value, and the circuit group selection control circuit 32
Each one of the detection circuits is selected under the control of the detection circuit. Therefore, the optimal detection circuit is selected based on the sleep level determined by the doctor, the intensity of body movement (rehel), and the REM-like nystagmus frequency level i.

33 indicates a REM detection circuit group, which detects RE by a predetermined threshold value.
The configuration includes a plurality of detection circuits that detect M times. Reference numeral 34 indicates a group of high-speed REM detection circuits, which is composed of a plurality of detection circuits that detect the number of high-speed REMs based on a predetermined threshold value. Reference numeral 35 denotes a body movement frequency detection circuit group, which is composed of a plurality of detection circuits that detect the body movement frequency using a predetermined threshold value. 36 breathing rate detection circuit group;
The configuration includes a plurality of detection circuits that detect the respiration rate using a predetermined threshold value. 37 indicates a respiratory rate detection circuit group;
The configuration includes a plurality of detection circuits that detect the amount of respiration using a predetermined threshold value. 38 indicates a heart rate detection circuit group;
The configuration includes a plurality of detection circuits that detect heart rate using a predetermined threshold value. Reference numeral 39 indicates a group of detection circuits for detecting the number of times of sweating, which is composed of a plurality of detection circuits that detect the number of times of sweating based on a predetermined threshold value.

40 indicates a REM number storage device, and the REM detection circuit group 3
The REM number data every 20 seconds output from 3 is stored. 41 indicates a high-speed REM number storage device;
The island speed REM frequency data every 20 seconds output from the detection circuit group A is stored. Reference numeral 42 denotes a body movement number storage device, which stores body movement number data every 20 seconds outputted from the body movement number detection circuit group 35. Reference numeral 43 indicates a respiration rate storage device, which stores respiration rate data outputted from the respiration rate detection circuit group 36 every 20 seconds. Reference numeral 44 denotes a respiration amount storage device, which stores respiration amount data outputted from the absorption amount detection circuit group 37 every 20 seconds.

Reference numeral 45 denotes a heart rate storage device, which stores heart rate data outputted from the heart rate detection circuit group 38 every 20 seconds.

Reference numeral 46 indicates a sweating frequency storage device, and the sweating frequency detection circuit group 3
9, the number of sweating data every 20 seconds is stored.

47 histogram creation circuits are shown, which extract data from each of the 47 storage devices ff140-46 and create a histogram by sequentially adding data corresponding to each storage device.

Reference numeral 48 indicates an output control circuit;
The histogram data is taken out at the timing created corresponding to 46 and output to the output device 49.

The output device 49 is a CFLT display device or the like,
This device displays a histogram of data corresponding to the storage devices 40 to 46.

In this embodiment, since data is stored in the storage devices 40 to 46 every 20 seconds, the histogram creation circuit 47 creates histogram data as bar graphs one after another. The created histogram data is taken out by the output control circuit 48 and output (outputted to the λ electric appliance 49.) As a result, the output device 49 receives high-speed REM data X times every 20 seconds.
A histogram of @ count, body movement count, breathing rate, respiratory volume, heart rate, and sweat rate is displayed as a bar graph.

50 indicates a sleep level designation circuit. The doctor determines the final sleep level every 20 seconds based on the histogram displayed on the output device 49, and inputs the sleep level from the sleep level designation circuit blade. This finally determined sleep level is provided to the circuit group selection control circuit 32. The circuit group selection control circuit 32Vi selects a required detection circuit for each detection circuit group 33 to 39 based on the sleep level, and selects the following 20 detection circuits.
It is possible to operate for seconds. That is, except for the first 20 seconds, the necessary detection circuits are selected for each of the detection circuit groups 33 to 39 to be used for the next 20 seconds based on the finally determined sleep level. If there is a change in the output of the selection coefficient setting circuit 31 during the addition period, an appropriate detection circuit is selected as necessary.

In this way, conventionally, the above-mentioned measurement conditions ■
〜■ was satisfied, but these measurement conditions 〜■ were satisfied without requiring much manpower and time by using the knowledge of a specialist, physiological data, equipment and traps with appropriate sampling and stock cycles. .

In this way, in the embodiment, the physiological data is sampled every 01 seconds to collect necessary and sufficient physiological data.

In other words, it is well known that the narrower the sampling interval is, the more accurately a high frequency signal can be reproduced, but the memory capacity becomes enormous. However, the R
Detection of EM, number of body movements, breathing rate, heart rate, number of sweating, etc.?
'i 0.1 seconds is sufficient to reproduce them. Therefore, memory capacity could be reduced.

The meaning of storing physiological data in association with each other every 20 seconds is as follows.

A real-time waveform recording device used for polysomnography (Chartsbee) is about 1d90a11/min.

In other words, one page (30an) of recording paper is fed in about 20 seconds. Each sampled data is synchronized in incremental seconds (
If you remember this as 1 epoch (named 1 epoch), then
It becomes extremely easy to check data and recorded waveforms at a later date.

Incidentally, in the configuration of the above embodiment, the data storage device 2 in FIG.
Each of the components on the right side of 2 to 28 up to the output control circuit can also be configured as a converter. If you do this,
The CPU takes in sleep data and physiological data via the pass and port, and the CPU outputs histogram data to the C output device 49 via the passport. In addition, the data storage devices 22 to 28 and the storage devices 40 to
46 is connected to the CPU via a memory path as a buffer memory or auxiliary memory. Other circuits can be realized by programs in a main memory connected to the CPU via a memory bus.

"Effects of the Invention" As described above, according to the present invention, a specialist can input the sleep level while determining the sleep level and collect physiological data under appropriate measurement conditions. Furthermore, since the physiological data is stored for each epoch, the physiological data can be collected in a format that facilitates analysis based on the physiological data later, which is extremely convenient.

[Brief explanation of drawings]

FIG. 1 is a block diagram of a polysomnographic data processing apparatus including a polysomnographic data collection apparatus according to an embodiment of the present invention.

Claims (1)

[Claims] A real-time waveform recording device that records in real time a plurality of physiological data obtained from a sensor worn on a subject; and at least nystagmus data among the plurality of physiological data and change rate data of the nystagmus data. and a plurality of A/D converters that simultaneously sample and digitize body movement data at regular intervals, a sleep level input circuit for inputting a sleep level according to the condition of the subject, and the real-time waveform. a data storage device that stores sleep level data obtained from each output of the A/D converter and the sleep level input circuit in association with each epoch, which is the time required for the recording device to feed one page of recording paper; A polysomnography data collection device equipped with