JP5848469B1 - Biological condition detection device - Google Patents

Abstract

A living body state detection device capable of detecting a living body state including a posture of a living body and respiration is provided. A biological state detection apparatus transmits a transmission wave by a frequency-modulated continuous wave to an object including a living body, and based on a frequency difference between the transmission wave and a reflected wave from the object, FM-CW radar 11 that detects distance spectrum intensity data that indicates the intensity for each predetermined distance in time series, and an extraction that extracts a body motion signal based on respiration of the living body from the detection result of FM-CW radar 11 Means and determination means for determining the posture or respiration of the living body based on the body motion signal. [Selection] Figure 2

Description

  The present invention relates to a biological state detection apparatus using radio waves.

  Conventionally, as a distance measurement method using radio waves, for example, a method using a radar by an FM-CW (Frequency Modulated Continuous Wave) method (hereinafter referred to as “FM-CW radar”) has been proposed (for example, a patent). Reference 1).

  In the distance measurement method disclosed in Patent Document 1, a frequency-modulated signal is transmitted as a wave using FM-CW radar, and a traveling wave composed of either the transmitted wave or the frequency-modulated signal is transmitted. A mixed wave with a wave detected by the reflected wave reflected by the object to be measured is detected. This is a mixed wave, and unlike a standing wave, the relationship between the position in space and the amplitude changes with time. The distance component is obtained by detecting the amplitude component of the wave and analyzing the spectrum of the amplitude component to measure the distance to the measurement object.

  Thereby, since the mixed wave of the traveling wave and the reflected wave is detected and the distance to the measurement object is calculated based on the mixed wave, the traveling wave (transmission signal) does not leak into the receiving side. There is no need to separate the antenna on the transmission and reception side, and it is said that a distance measuring device having a simple and simple structure can be obtained.

Japanese Patent No. 4293194

  However, in the FM-CW radar, a distance spectrum can be calculated by a fast Fourier transform (FFT) and the distance from the peak position to the target can be obtained. Is restricted by a sweep frequency band of 200 MHz according to the Radio Law. For this reason, the separation resolution is 1.5 m, and it is difficult to obtain an accurate distance depending on the shape and position of the target and the surrounding environment.

  Therefore, an object of the present invention is to provide a living body state detection device capable of detecting a living body state including posture of a living body and respiration even when there is a limitation of a sweep frequency band of 200 MHz and a separation resolution of 1.5 m. is there.

[1] A transmission wave of a frequency-modulated continuous wave is transmitted to an object including a living body, and a predetermined distance to the object is determined based on a frequency difference between the transmission wave and a reflected wave from the object. FM-CW radar for detecting distance spectrum intensity data indicating the intensity for each distance in time series;
Extraction means for extracting a body motion signal based on the respiration of the living body from the detection result of the FM-CW radar;
Determining means for determining whether the posture of the living body is a sitting position or a supine position based on the body motion signal , or breathing of the living body ;
A biological state detection device comprising:
[2] A transmission wave based on a frequency-modulated continuous wave is transmitted to an object including a living body, and a predetermined distance to the object is determined based on a frequency difference between the transmission wave and a reflected wave from the object. FM-CW radar for detecting distance spectrum intensity data indicating the intensity of each in time series;
First calculation means for calculating operation difference data obtained for each distance by calculating a difference between the current distance spectrum intensity data and the previous distance spectrum intensity data based on the detection result of the FM-CW radar; ,
The detection result of the FM-CW radar detected under the condition that the living body is not included in the object is used as reference data, and a difference between the reference data and the detection result of the FM-CW radar is obtained for each distance. Second calculation means for calculating still difference data by distance,
Based on the distance difference data for each distance, the difference between the maximum value and the minimum value of the intensity within a predetermined time is obtained in time series for each distance, or the maximum value and the minimum of the intensity within a predetermined time A third calculating means for calculating a section distance obtained in a time series for a distance having a maximum difference from the value;
Posture determining means for determining the posture of the living body based on the section strength or the section distance;
A biological state detection device comprising:
[3] A transmission wave based on a frequency-modulated continuous wave is transmitted to an object including a living body, and a predetermined distance to the object is determined based on a frequency difference between the transmission wave and a reflected wave from the object. FM-CW radar for detecting distance spectrum intensity data indicating the intensity of each in time series;
First calculation means for calculating operation difference data obtained for each distance by calculating a difference between the current distance spectrum intensity data and the previous distance spectrum intensity data based on the detection result of the FM-CW radar; ,
The detection result of the FM-CW radar detected under the condition that the living body is not included in the object is used as reference data, and a difference between the reference data and the detection result of the FM-CW radar is obtained for each distance. Second calculation means for calculating still difference data by distance,
Based on the distance difference data for each distance, the difference between the maximum value and the minimum value of the intensity within a predetermined time in a time series for each distance, and the maximum value and minimum of the intensity within a predetermined time A third calculating means for calculating a section distance obtained in a time series for a distance having a maximum difference from the value;
Posture determining means for determining the posture of the living body based on the section strength and the section distance;
A biological state detection device comprising:
[4] Fourth calculating means for performing a moving average process on the motion difference data for each distance, and calculating a motion difference moving average obtained by chronologically obtaining a maximum value for each time from the obtained processing result. In addition,
The posture determination means determines the posture of the living body based on the section strength and the motion difference moving average, the section distance and the motion difference moving average, or the section strength, the section distance and the motion difference moving average. To
The biological state detection device according to [2] or [3].
[5] A transmission wave by a frequency-modulated continuous wave is transmitted to an object including a living body, and a predetermined distance to the object is determined based on a frequency difference between the transmission wave and a reflected wave from the object. FM-CW radar for detecting distance spectrum intensity data indicating the intensity of each in time series;
First calculation means for calculating operation difference data obtained for each distance by calculating a difference between the current distance spectrum intensity data and the previous distance spectrum intensity data based on the detection result of the FM-CW radar; ,
A fourth calculating means for performing a moving average process for each distance on the motion difference data, and calculating a motion difference moving average obtained by chronologically obtaining a maximum value for each time from the obtained processing results;
Posture determining means for determining the posture of the living body based on the motion difference moving average;
A biological state detection device comprising:
[6] A transmission wave by a frequency-modulated continuous wave is transmitted to an object including a living body, and a predetermined distance to the object is determined based on a frequency difference between the transmission wave and a reflected wave from the object. FM-CW radar for detecting distance spectrum intensity data indicating the intensity for each distance in time series;
First calculation means for calculating an average value of the distance spectrum intensity data for each time based on the detection result of the FM-CW radar;
Second calculating means for calculating change amount data of an average value of the distance spectrum intensity data;
A third calculation means for performing a moving average process as a calculation process on the variation data of the average value of the distance spectrum intensity data;
Respiration determining means for determining respiration of the living body based on a calculation result by the third calculating means;
A biological state detection device comprising:

  According to the present invention, it is possible to detect the state of the living body including the posture of the living body and respiration.

FIG. 1 is a diagram illustrating a usage state of a lighting fixture to which a biological state detection device according to an embodiment of the present invention is applied. FIG. 2 is a block diagram illustrating a schematic configuration example of the biological state detection apparatus according to the present embodiment. FIG. 3A is a diagram illustrating an example of distance spectrum intensity data detected by the FM-CW radar. FIG. 3B is a diagram illustrating an example of still difference data (reference data) under a condition where no living body exists. FIG. 3C is a diagram illustrating an example of distance-dependent still difference data (reference data) under a condition in which no living body exists. FIG. 4A is a diagram illustrating an example of still difference data by distance. FIG. 4B is a diagram illustrating an example of intra-distance section intensity change data. FIG. 4C is a diagram illustrating an example of the section strength. FIG. 4D is a diagram illustrating an example of the section distance. FIG. 4E is a diagram showing a comparison between the supine position and the sitting position in the section strength. FIG. 4F is a diagram showing a comparison between the supine position and the sitting position in the section distance. FIG. 5A is a diagram illustrating an example of distance-specific operation difference data. FIG. 5B is a diagram illustrating an example of the motion difference moving average and the distance-based motion difference moving average. FIG. 5C is a diagram illustrating an example of the motion difference moving average. FIG. 5D is a diagram showing a comparison of the supine position and the sitting position of the motion difference moving average. FIG. 6A is a diagram illustrating an example of distance spectrum intensity data. FIG. 6B is a diagram showing intensity average data obtained by averaging the distance spectrum intensity data shown in FIG. 6A for each time. FIG. 6C is a diagram showing distance spectrum intensity average change amount data which is a difference (differential value) between the distance spectrum intensity average data shown in FIG. 6B and the immediately preceding data. FIG. 6D is a diagram illustrating data obtained by performing a moving average process on the variation data illustrated in FIG. 6C. FIG. 6E is a diagram illustrating data obtained by performing a moving average process on the data illustrated in FIG. 6D. FIG. 6F is a diagram illustrating a result of analyzing the data illustrated in FIG. 6E.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. In addition, in each figure, about the component which has the substantially same function, the same code | symbol is attached | subjected and the duplicate description is abbreviate | omitted.

[Embodiment]
FIG. 1 is a diagram illustrating a usage state of a lighting fixture to which a biological state detection device according to an embodiment of the present invention is applied.

(Structure of lighting equipment)
The luminaire 1 is provided on a ceiling 3 of a room 2 such as a bedroom in which a bed 4 is disposed, and incorporates a biological state detection device 10 that detects a biological state of a subject P who is in the bed 4, for example. Here, the target person P is an example of a living body. The lighting fixture is not limited to the lighting fixture 1 installed on the ceiling 3, and may be other lighting fixtures such as a lighting fixture or a stand installed on the wall surface.

(Configuration of biological state detection device)
FIG. 2 is a block diagram illustrating a schematic configuration example of the biological state detection device 10. The biological state detection device 10 includes an FM-CW radar 11, a posture determination unit 12 that determines the posture of the subject P, a breath determination unit 13 that determines the breathing of the subject P, and a communication unit 14. It is roughly structured.

  The posture determination unit 12 and the breath determination unit 13 extract from the detection result of the FM-CW radar 11 a body motion signal based on the breathing of the subject P, and the posture of the subject P based on the body motion signal or It functions as a determination means for determining respiration.

  The communication unit 14 transmits the determination results of the posture determination unit 12 and the breath determination unit 13 to the outside by wire or wireless.

(Configuration of FM-CW radar)
FM-CW radar 11 sends the object a transmission wave by a continuous wave frequency-modulated by the frequency difference between the reflected wave from the transmitted wave and the object (the beat signal) Fourier transform, to the object A distance spectrum indicating the intensity for each distance in time series is detected.

The distance spectrum intensity data detected by the FM-CW radar 11 is shown in the following equation (1). At this time, by specifying the distance range used for calculation (for example, using data of 1 to 3 m), the influence outside the multipath and the distance range is eliminated, and the movement of the measurement target is easily captured.
a (t, x) (X _min ≤ x ≤ X _max ) (1)
Where a: intensity, t: time, x: distance, X _min : minimum specified distance,
X _max : Maximum specified distance

  For example, a 24 GHz band is used as the FM-CW radar 11. Note that the frequency band is not limited to 24 GHz.

(Configuration of posture determination unit)
The posture determination unit 12 includes first to fourth calculation units 121 to 124 and a posture determination unit 125. Here, the first to fourth calculation units 121 to 124 are examples of extraction units. The posture determination unit 125 is an example of a determination unit.

Based on the detection result of the FM-CW radar 11 (FIG. 3A) , the first calculation means 121 calculates the difference (absolute value of the differential value) between the distance spectrum intensity data and the previous distance spectrum intensity data. The motion difference data of the object obtained for each distance is calculated. The presence or absence of a moving object within the detection range can be determined from the motion difference data. The operation difference data a ₁ is shown in the following equation (2).
a ₁ (t, x) = | a (t, x) −a (t−1, x) | (X _min ≦ x ≦ X _max ) (2) where a ₁ (t, x): Operation difference data

The second calculation means 122 uses the detection result (distance spectrum intensity data) of the FM-CW radar 11 detected under the condition that the living body is not included in the object as the reference data (see FIG. 3C), and the reference data and the FM -Static difference data for each distance obtained by calculating the difference from the detection result (distance spectrum intensity data) of the CW radar 11 for each distance is calculated. The presence / absence of an object within the detection range can be determined from the distance difference difference data. The distance-dependent still difference data a ₂ is shown in the following equation (3).
a ₂ (t, x) = a (t, x) −a ₀ (t, x) (X _min ≦ x ≦ X _max ) (3)
However, a ₀ (t, x): Data when no living body exists (see FIG. 3C)

  FIG. 3B is a diagram illustrating an example of still difference data (reference data) under a condition where no living body exists. FIG. 3C is a diagram illustrating an example of distance-dependent still difference data (reference data) under a condition in which no living body exists.

  The third calculation unit 123 calculates the section strength and the section distance based on the distance-specific still difference data calculated by the second calculation unit 122.

The third calculation unit 123 calculates the number of data (for example, the number of data 50) for the distance-based still difference data calculated by the second calculation unit 122 while shifting the data section in the same manner as the moving average method. calculated difference between the maximum intensity value and the minimum intensity value in the data section (the change amount in the data segment) in each time series distance, and calculates the distance in another section intensity change data a _3. A section in the intensity variation data a ₃ shown in the following equation (4).
a ₃ (t, x) = max {a ₂ (t−k, x)} − min {a ₂ (t−k, x)} (4)
(0 ≦ k ≦ required number of data)
(X _min ≤ x ≤ X _max )
However, a ₃ (t, x): Intensity change data in the section

Next, the third calculation unit 123 outputs the maximum change value of the amount of change for each time from the obtained intensity change in the data section for each distance as the section intensity and outputs it to the posture determination unit 125.
A ₁ (t, x) = max {a ₃ (t, x)} (X _min ≦ x ≦ X _max )
Where A ₁ (t): Section strength, A ₁ (x): Section distance,

  The third calculation unit 123 calculates the number of data (for example, the number of data 50) for the distance-dependent still difference data calculated by the second calculation unit 122 while shifting the data section in the same manner as the moving average method. The section distance is obtained with the distance indicating the maximum change amount among the change amounts for each distance in the section as the distance in the section. The third calculation unit 123 outputs the calculated section strength and section distance to the posture determination unit 125.

The fourth calculation unit 124 performs a moving average process for each distance on the motion difference data calculated by the first calculation unit 121, and obtains a maximum value for each time in a time series from the obtained processing result. The motion difference moving average is calculated.

(Configuration of breathing determination unit)
The breath determination unit 13 includes first to third calculation units 131 to 133 and a breath determination unit 134. The 1st thru | or 3rd calculating means 131-133 are examples of an extraction means. The breath determination unit 134 is an example of a determination unit.

First calculating means 131, based on the detection result of the FM-CW radar 11 is calculated by using the average value of the distance spectrum intensity data for each time, i.e. the distance spectrum intensity average a ₄ the following equation (7) .

Second calculating means 132, the mean value of the variation data (differential value) of the distance spectrum intensity data first arithmetic unit 131 is calculated, that is, the distance spectrum intensity average differential value a ₅ the following equation (8) Use to calculate.
a ₅ (t) = a ₄ (t) −a ₄ (t−1) (8)
Where a ₅ (t): Distance spectrum intensity average differential value

The third calculating means 133 is a moving average process as a calculation process for the change data of the average value of the distance spectrum intensity data calculated by the second calculating means 132, that is, the distance spectrum intensity average change moving average value A _4. Is calculated using the following equation (9), and the moving average process is performed again, that is, the respiration presence / absence determination value A _{4 + i} is calculated using the following equation (10). The distance spectrum intensity only mean change moving average value A ₄ may be subjected to determination of the respiratory existence.

The breath determination unit 134 determines the breathing of the subject P based on the calculation result by the third calculation unit 133. The determination method of respiration is determined based on, for example, a signal change (FIG. 6F) of the calculated respiration presence / absence determination value A _{4 + i} .

(Operation of the embodiment)
Next, an example of the operation of the present embodiment will be described.

(1) Detection of distance data The FM-CW radar 11 transmits a transmission wave by a frequency-modulated continuous wave to the object, and based on the frequency difference between the transmission wave and the reflected wave from the object, Distance spectrum intensity data indicating the intensity for each predetermined distance in time series is detected. The FM-CW radar 11 outputs the detection result to the first calculation unit 121 and the second calculation unit 122 of the posture determination unit 12 and the first calculation unit 131 of the respiration determination unit 13. At this time, by specifying a distance range (for example, using data of 1 to 3 m) used for determination in advance, the influence of the multipath and the outside of the specified range is eliminated, and the movement of the measurement target is easily captured.

  FIG. 3A shows an example of distance spectrum intensity data output by the FM-CW radar 11. In FIG. 3A, the horizontal axis represents time, and the vertical axis represents the intensity at distances of 1 m, 2 m, 3 m, 4 m, and 5 m from the FM-CW radar 11.

(2) Attitude determination Based on the detection result of the FM-CW radar 11, the first calculation unit 121 obtains the difference between the current distance spectrum intensity data and the previous distance spectrum intensity data for each distance. The motion difference data of the object is calculated.

  Next, the second calculation means 122 uses the detection result of the FM-CW radar 11 detected under the condition that the living body is not included in the object as the reference data (see FIG. 3C), and the reference data and the FM-CW radar. The distance-dependent still difference data obtained by calculating the difference from the detection results of 11 for each distance is calculated.

  FIG. 4A shows an example of the distance-dependent still difference data. In FIG. 4A, the horizontal axis represents time, and the vertical axis represents the static difference.

  Next, the third calculation unit 123 calculates the intra-distance section intensity change data based on the distance-specific still difference data calculated by the second calculation unit 122, and calculates the section intensity and The section distance is calculated. The third calculation unit 123 outputs the calculated section strength and section distance to the posture determination unit 125.

  FIG. 4B shows an example of distance-by-distance section strength change data. FIG. 4C shows an example of the section strength. FIG. 4D is an example of the section distance.

  FIG. 4E is a diagram showing the difference between the saddle position and the sitting position of the section strength. FIG. 4F is a diagram illustrating the difference between the supine position and the sitting position of the section distance. From FIG. 4E, it can be seen that the supine position has a greater section strength than the sitting position. From FIG. 4F, it can be seen that the distance between the sitting position and the sitting position changes. Therefore, based on the section strength and section distance calculated by the third calculation unit 123, the posture determination unit 125 can determine whether the posture of the subject P is the sitting position or the supine position.

  On the other hand, the fourth calculation unit 124 performs a moving average process on the motion difference data calculated by the first calculation unit 121 for each distance, and calculates the maximum value for each time in a time series from the obtained processing result. The obtained motion difference moving average is calculated. FIG. 5A shows an example of distance-specific operation difference data calculated by the first calculation means 121. FIG. 5B shows an example of the motion difference moving average. The fourth calculating unit 124 calculates the maximum value of the motion difference moving average for each time shown in FIG. 5B to obtain the motion difference moving average. FIG. 5C shows an example of the motion difference moving average. The fourth calculation unit 124 outputs the motion difference moving average of the calculation result to the posture determination unit 125.

  FIG. 5D is a diagram showing a comparison of the supine position and the sitting position of the motion difference moving average. From FIG. 5D, it can be seen that the supine position has a larger motion difference moving average than the sitting position. Therefore, based on the motion difference moving average calculated by the fourth calculation unit 124, the posture determination unit 125 can determine whether the posture of the subject person P is sitting or lying.

  The posture determination unit 125 uses the all of the section distance, section strength, and motion difference moving average calculated by the third calculation unit 123 and the fourth calculation unit to perform a more accurate determination. Although the determination is performed, the posture of the subject person P may be determined using any one or two of the section distance, the section strength, and the motion difference moving average.

(3) Respiration Determination FIG. 6D is a diagram illustrating data obtained by performing a moving average process on the variation data illustrated in FIG. 6C. FIG. 6E is a diagram illustrating data obtained by performing a moving average process on the data illustrated in FIG. 6D. FIG. 6F is a diagram illustrating a result of analyzing the data illustrated in FIG. 6E.

  The first calculation means 131 calculates the average value of the distance spectrum intensity data for each time based on the detection result of the FM-CW radar 11. FIG. 6A shows an example of distance spectrum intensity data as a detection result of the FM-CW radar 11. FIG. 6B is an average value of the distance spectrum intensity data indicating the calculation result by the first calculation means 131.

  The second calculation means 132 calculates change data (differential value) of the average value of the distance spectrum intensity data calculated by the first calculation means 131. That is, the second calculation means 132 changes the amount of change (differentiated) of the average value of the distance spectrum intensity data, which is the difference between the average value of the distance spectrum intensity data shown in FIG. Value). FIG. 6C shows the calculation result by the second calculation means 132.

  The third calculation means 133 performs the moving average process in two times as the calculation process on the variation data of the average value of the distance spectrum intensity data calculated by the second calculation means 132. FIG. 6D shows an example of the result of the first moving average process by the third computing means 133. FIG. 6E shows an example of the result of the second moving average process performed by the third computing means 133.

  The breath determination unit 134 determines the breathing of the subject P based on the calculation result by the third calculation unit 133. Specifically, the breath determination unit 134 measures T from the calculated waveform (FIG. 6E), and determines that the waveform is due to inspiration if T is within a reference range (for example, 1.0 sec to 3.0 sec). Is outside the reference range (for example, less than 1.0 sec, more than 3.0 sec), it is determined as a waveform such as a breathing rest. At this time, the period from the inspiration to the next inspiration is measured, and if it is within a normal respiration cycle range (for example, 2.5 sec to 6.0 sec), it is determined that there is respiration.

(Effect of embodiment)
According to the present embodiment, the following effects can be obtained.
(1) For example, in a 24 GHz band sensor, there are limitations such as a sweep frequency band of 200 MHz and a separation resolution of 1.5 m. If there is an object that easily reflects radio waves from the subject P around the subject P, the distance spectrum peak is It is difficult to determine the posture of the subject P because there is a problem that an object that is likely to be reflected is shown, and an accurate distance cannot be obtained from the distance spectrum peak depending on the body shape and position of the subject P. In the present embodiment, based on the distance spectrum intensity data detected by the FM-CW radar 11, the posture determination unit 12 can determine whether the posture of the subject P is a sitting position or a supine position. The determination unit 13 can determine whether or not the subject person P is breathing.
(2) By specifying the measurement distance in advance, it is possible to eliminate the influence of multipaths and other objects outside the specified distance range, so that the target person can be easily captured.

[Modification]
The embodiment of the present invention is not limited to the above-described embodiment, and various modifications and implementations are possible without departing from the scope of the present invention.

DESCRIPTION OF SYMBOLS 1 ... Lighting fixture, 2 ... Indoors, 3 ... Ceiling, 4 ... Bed, 10 ... Living body state detection apparatus,
DESCRIPTION OF SYMBOLS 11 ... FM-CW radar, 12 ... Attitude determination part, 13 ... Respiration determination part, 14 ... Communication part,
121 ... 1st calculation means, 122 ... 2nd calculation means, 123 ... 3rd calculation means,
124: Fourth calculation means, 125: Attitude determination means,
131 ... 1st calculating means, 132 ... 2nd calculating means, 133 ... 3rd calculating means,
134: Respiratory determination means, P: Subject

Claims (6)

A transmission wave by a frequency-modulated continuous wave is transmitted to an object including a living body, and a predetermined distance to the object is determined based on a frequency difference between the transmission wave and a reflected wave from the object. FM-CW radar for detecting distance spectrum intensity data indicating the intensity in time series,
Extraction means for extracting a body motion signal based on the respiration of the living body from the detection result of the FM-CW radar;
Determining means for determining whether the posture of the living body is a sitting position or a supine position based on the body motion signal , or breathing of the living body ;
A biological state detection device comprising: Transmitting a transmission wave by a frequency-modulated continuous wave to an object including a living body, and based on a frequency difference between the transmission wave and a reflected wave from the object, an intensity for each predetermined distance to the object FM-CW radar for detecting distance spectrum intensity data indicating time-sequentially,
First calculation means for calculating operation difference data obtained for each distance by calculating a difference between the current distance spectrum intensity data and the previous distance spectrum intensity data based on the detection result of the FM-CW radar; ,
The detection result of the FM-CW radar detected under the condition that the living body is not included in the object is used as reference data, and a difference between the reference data and the detection result of the FM-CW radar is obtained for each distance. Second calculation means for calculating still difference data by distance,
Based on the distance difference data for each distance, the difference between the maximum value and the minimum value of the intensity within a predetermined time is obtained in time series for each distance, or the maximum value and the minimum of the intensity within a predetermined time A third calculating means for calculating a section distance obtained in a time series for a distance having a maximum difference from the value;
Posture determining means for determining the posture of the living body based on the section strength or the section distance;
A biological state detection device comprising: Transmitting a transmission wave by a frequency-modulated continuous wave to an object including a living body, and based on a frequency difference between the transmission wave and a reflected wave from the object, an intensity for each predetermined distance to the object FM-CW radar for detecting distance spectrum intensity data indicating time-sequentially,
First calculation means for calculating operation difference data obtained for each distance by calculating a difference between the current distance spectrum intensity data and the previous distance spectrum intensity data based on the detection result of the FM-CW radar; ,
The detection result of the FM-CW radar detected under the condition that the living body is not included in the object is used as reference data, and a difference between the reference data and the detection result of the FM-CW radar is obtained for each distance. Second calculation means for calculating still difference data by distance,
Based on the distance difference data for each distance, the difference between the maximum value and the minimum value of the intensity within a predetermined time in a time series for each distance, and the maximum value and minimum of the intensity within a predetermined time A third calculating means for calculating a section distance obtained in a time series for a distance having a maximum difference from the value;
Posture determining means for determining the posture of the living body based on the section strength and the section distance;
A biological state detection device comprising: A moving average process is performed for each distance with respect to the motion difference data, and further includes a fourth calculation unit that calculates a motion difference moving average obtained in time series from the obtained processing result.
The posture determination means determines the posture of the living body based on the section strength and the motion difference moving average, the section distance and the motion difference moving average, or the section strength, the section distance and the motion difference moving average. To
The biological state detection device according to claim 2 or 3. Transmitting a transmission wave by a frequency-modulated continuous wave to an object including a living body, and based on a frequency difference between the transmission wave and a reflected wave from the object, an intensity for each predetermined distance to the object FM-CW radar for detecting distance spectrum intensity data indicating time-sequentially,
First calculation means for calculating operation difference data obtained for each distance by calculating a difference between the current distance spectrum intensity data and the previous distance spectrum intensity data based on the detection result of the FM-CW radar; ,
A fourth calculating means for performing a moving average process for each distance on the motion difference data, and calculating a motion difference moving average obtained by chronologically obtaining a maximum value for each time from the obtained processing results;
Posture determining means for determining the posture of the living body based on the motion difference moving average;
A biological state detection device comprising: A transmission wave by a frequency-modulated continuous wave is transmitted to an object including a living body, and a predetermined distance to the object is determined based on a frequency difference between the transmission wave and a reflected wave from the object. FM-CW radar for detecting distance spectrum intensity data indicating the intensity in time series,
First calculation means for calculating an average value of the distance spectrum intensity data for each time based on the detection result of the FM-CW radar;
Second calculating means for calculating change amount data of an average value of the distance spectrum intensity data;
A third calculation means for performing a moving average process as a calculation process on the variation data of the average value of the distance spectrum intensity data;
Respiration determining means for determining respiration of the living body based on a calculation result by the third calculating means;
A biological state detection device comprising:

Images