TWI817866B - Biological signal detection system and biological signal detection method - Google Patents

Abstract

A biological signal detection system and biological signal detection method includes a liquid crystal antenna, a receiving antenna, a first processor, a second processor and a filter circuit. The liquid crystal antenna is configured to form a hologram pattern according to a setting signal and output a millimeter wave detection signal from a specific angle, and the millimeter wave detection signal is reflected into a millimeter wave physiological signal according to a physiological characteristic of a subject. The receiving antenna is configured for receiving the millimeter wave physiological signal. The first processor is configured to adjust the specific angle of the liquid crystal antenna according to an intensity of the millimeter wave physiological signal, and the holographic pattern is related to the specific angle. The second processor is coupled to the receiving antenna, and is configured for confirming whether a respiratory signal of the millimeter wave physiological signal is between a first voltage and a second voltage. The filter circuit is configured for high-pass filtering and low-pass filtering, and adjusts a voltage level of the respiratory signal according to the respiratory signal.

Description

Biosignal detection system and biosignal detection method

This case relates to a detection system and a detection method, and in particular to a biological signal detection system and a biological signal detection method.

In nursing homes or homes, in order to monitor the vital signs of the elderly or patients, it is often necessary to monitor their physiological characteristics (such as breathing or heartbeat).

However, currently, imaging devices (such as monitors) are often used to detect the physiological characteristics of the elderly or patients, which causes the elderly or patients to worry about privacy issues and virtually increases the psychological pressure of the elderly or patients.

In addition, imaging devices are usually installed on the ceiling, which makes them less flexible in installation.

This summary is intended to provide a simplified summary of the disclosure to provide the reader with a basic understanding of the disclosure. This summary is not an extensive overview of the disclosure, and it is not intended to identify key/critical elements of the embodiments or to delineate the scope of the disclosure.

One of the technical aspects of this case relates to a biological signal detection system. The biological signal detection system includes a liquid crystal antenna, a receiving antenna, a first processor, a second processor and a filter circuit. The liquid crystal antenna is used to form a holographic pattern (Holographic Pattern) according to the set signal and output millimeter wave detection signals from a specific angle, and the millimeter wave detection signals are reflected into millimeter wave physiological signals according to the physiological characteristics of the subject. The receiving antenna is used to receive millimeter wave physiological signals. The first processor is used to adjust a specific angle of the liquid crystal antenna according to the intensity of the millimeter wave physiological signal, and the holographic pattern is related to the specific angle. The second processor is coupled to the receiving antenna and used to confirm whether the respiratory signal of the millimeter wave physiological signal is between the first voltage and the second voltage, and the second voltage is greater than the first voltage. The filter circuit is used to perform high-pass filtering and low-pass filtering, and adjust the voltage level of the respiration signal according to the respiration signal. When the voltage level of the respiratory signal is less than the second voltage, the liquid crystal antenna continues to output the millimeter wave detection signal.

Another technical aspect of this case relates to a biological signal detection method. The biological signal detection method includes the following steps: using a liquid crystal antenna to form a holographic pattern (Holographic Pattern) according to the set signal and outputting millimeter wave detection signals from a specific angle, and the millimeter wave detection signals are reflected according to the physiological characteristics of the subject is a millimeter wave physiological signal; the millimeter wave physiological signal is received by the receiving antenna; the first processor adjusts a specific angle of the liquid crystal antenna according to the intensity of the millimeter wave physiological signal, and the holographic pattern is related to the specific angle; through the first The second processor confirms whether the respiratory signal of the millimeter wave physiological signal is between the first voltage and the second voltage, and the second voltage is greater than the first voltage; it performs high-pass filtering and low-pass filtering through the filter circuit, and adjusts the breathing signal according to the respiratory signal. The voltage level of the respiration signal; and when the voltage level of the respiration signal is less than the second voltage, the millimeter wave detection signal is continuously output through the liquid crystal antenna.

Therefore, according to the technical content of this case, the biosignal detection system and biosignal detection method shown in the embodiment of this case can monitor the physiological characteristics of the subject by using a liquid crystal antenna with a holographic pattern. Effect.

After referring to the following embodiments, those with ordinary knowledge in the technical field to which this case belongs can easily understand the basic spirit and other purposes of the invention, as well as the technical means and implementation styles adopted in this case.

In order to make the description of this disclosure more detailed and complete, the following provides an illustrative description of the implementation aspects and specific embodiments of this case; but this is not the only form of implementing or using the specific embodiments of this case. The embodiments cover features of multiple specific embodiments as well as method steps and their sequences for constructing and operating these specific embodiments. However, other specific embodiments may also be used to achieve the same or equivalent functions and step sequences.

Unless otherwise defined in this specification, the scientific and technical terms used herein have the same meanings as commonly understood and customary by a person with ordinary knowledge in the technical field to which the subject matter belongs. In addition, unless there is conflict with the context, the singular noun used in this specification covers the plural form of the noun; and the plural noun used also covers the singular form of the noun.

In addition, as used herein, "coupling" or "connection" may refer to two or more components that are in direct physical or electrical contact with each other, or that are in indirect physical or electrical contact with each other, or it may also refer to two or more components that are in direct physical or electrical contact with each other. components interact or act with each other.

In this article, the term "circuit" generally refers to an object that is connected in a certain manner by one or more transistors and/or one or more active and passive components to process signals.

Certain words are used in the specification and patent claims to refer to specific components. However, those with ordinary skill in the art will understand that the same components may be referred to by different names. The specification and the patent application do not use the difference in name as a way to distinguish components, but the difference in function of the components as the basis for differentiation. The "include" mentioned in the specification and the scope of the patent application is an open-ended term, so it should be interpreted as "include but not limited to".

Figure 1 is a schematic block diagram of a biological signal detection system according to an embodiment of the present case. As shown in the figure, the biological signal detection system 100 includes a liquid crystal antenna 110, a first device 120, a first processor 130 and a second device 140. The first device 120 includes a receiving antenna 121 and a second processor 123 . The second device 140 includes a filter circuit 141 . In terms of connection relationship, the liquid crystal antenna 110 is coupled to the second device 140 , the first processor 130 is coupled to the second device 140 , and the first device 120 is coupled to the second device 140 .

In order to achieve the effect of monitoring the physiological characteristics of the subject by using a liquid crystal antenna with a holographic pattern, this case provides a biosignal detection system 100 in Figure 1. The relevant detailed operations are as follows.

Figure 2 is a usage scenario diagram of a biosignal detection system according to an embodiment of this case. Figures 3A to 3B illustrate a usage scenario diagram of a biosignal detection system according to an embodiment of the present case. Figure 4 is a detailed circuit diagram of a filter circuit of a biological signal detection system according to an embodiment of the present case. Please refer to Figures 1 to 4 together. In one embodiment, the liquid crystal antenna 110 is used to form a holographic pattern (Holographic Pattern) P1 according to the setting signal and from a specific angle (as shown in Figures 3A to 3B) A millimeter wave detection signal S1 (as shown in Figure 1 ) is output, and the millimeter wave detection signal S1 is reflected into a millimeter wave physiological signal R1 according to the physiological characteristics of the subject 900 . For example, the liquid crystal antenna 110 can be any liquid crystal array antenna (Liquid Crystal Array Antenna), and the liquid crystal antenna 110 can control the size of the array (for example: , , and ), and can adjust the dynamic range of the signal according to different applications, and can also adjust the millimeter wave (for example: millimeter wave detection signal S1) emission angle to achieve the spatial scanning function, but this case is not limited to this.

In this embodiment, the elevation angle (Elevation degree) signal field diagram 310 in Figure 3A can be a schematic diagram in which the signal field elevation angle range is 0 degrees, 10 degrees, 20 degrees, 30 degrees or 40 degrees. The horizontal level in Figure 3B The angular (Horizontal degree) signal field diagram 320 may be a schematic diagram in which the horizontal angle range of the signal field is 0 degrees, 10 degrees, 20 degrees, 30 degrees or 40 degrees. In addition, the liquid crystal antenna 110 can output the millimeter wave detection signal S1 from a specific angle, and the specific angle can be the result of the combination of the pitch angle and the horizontal angle. For example, the specific angle can be (0,30), and each specific angle can be Corresponding to the holographic pattern P1 or P2 of the liquid crystal antenna 110 (as shown in Figure 2), for example: the holographic pattern P1 can correspond to a specific angle (0,0), and the holographic pattern P2 can correspond to a specific angle (0,30), But this case is not limited to this. In addition, when the subject 900 is at a pitch angle of 22 degrees, no signal is received when the signal beam of the biosignal detection system 100 turns to 0 degrees, and the signal beam of the biosignal detection system 100 When the beam rotates back to 22 degrees, the signal can be received.

In some embodiments, the millimeter wave detection signal S1 or the millimeter wave physiological signal R1 can be a radio frequency microwave with a wavelength of 1 millimeter (mm) to 10 millimeters and a frequency of 30 to 300 gigahertz (GHz), but this is not the case in this case. is limited. In some embodiments, the physiological characteristics of the subject 900 can be physical quantities such as heartbeat amplitude and respiratory amplitude, but this case is not limited to this.

In this embodiment, the receiving antenna 121 is used to receive the millimeter wave physiological signal R1. For example, the receiving antenna 121 can be any array antenna (Array Antenna), such as a liquid crystal array antenna, an antenna on PCB (AoP) or a printed circuit board antenna (AoPCB), but this case is not limited thereto.

In this embodiment, the first processor 130 is used to adjust a specific angle of the liquid crystal antenna 110 according to the intensity of the millimeter wave physiological signal R1, and the holographic pattern P1 or P2 is related to the specific angle. For example, the first processor 130 can be any micro single-board computer (such as a Raspberry Pi), and the first processor 130 can be coupled to the liquid crystal antenna 110, and the liquid crystal antenna 110 outputs signals at different angles. The millimeter-wave detection signals S1 respectively correspond to the millimeter-wave physiological signals R1 received by the receiving antenna 121. Therefore, the first processor 130 can adjust the specific angle of the liquid crystal antenna 110 according to the intensity of the millimeter-wave physiological signals R1, thereby finding the millimeter-wave physiological signal R1. The specific angle of the strongest signal in the physiological wave signal R1 is used to continuously monitor the subject 900 at this specific angle, but this case is not limited to this. In addition, the hologram pattern P1 or P2 can respectively correspond to a specific angle, which is similar to the previously mentioned corresponding relationship between the hologram pattern P1 or P2 and the specific angle. For the purpose of concise description, no further details will be given here. In some embodiments, the first processor 130 may use a scanning algorithm to output the millimeter wave detection signal S1 at different angles to a location (eg, a nursing bed) through the liquid crystal antenna 110 (ie, perform signal scanning), and Confirm the intensity of the millimeter wave physiological signal R1 to achieve the effect of confirming the location of the maximum signal.

In this embodiment, the second processor 123 is coupled to the receiving antenna 121 and is used to confirm whether the respiratory signal of the millimeter wave physiological signal R1 is between the first voltage and the second voltage, and the second voltage is greater than the first voltage. For example, the second processor 123 can be any integrated circuit (for example, a monolithic microwave integrated circuit (MMIC)), the first voltage can be 1.75 volts (V), and the second voltage can be is 3.3 volts, but this case is not limited to this.

In this embodiment, the filter circuit 141 is used to perform high-pass filtering and low-pass filtering, and adjust the voltage level of the respiration signal according to the respiration signal. For example, the first filters 1411 and 1412 of the filter circuit 141 (as shown in Figure 4) can be used for high-pass filtering, and the second filters 1413 and 1414 of the filter circuit 141 can be used for low-pass filtering, so The frequency band can be limited to the range of 0.15 to 150 Hertz (HZ) through the filter circuit 141, and the regulators 1415 and 1416 of the filter circuit 141 can adjust the voltage level of the respiratory signal to a suitable voltage level (Voltage offset) according to the respiratory signal. ), but this case is not limited to this. In some embodiments, the voltage level of the breathing signal may be between 1.75 and 3.3 volts, but this case is not limited to this.

In this embodiment, when the voltage level of the respiration signal is lower than the second voltage, the liquid crystal antenna 110 continues to output the millimeter wave detection signal S1. For example, when the voltage level of the respiratory signal is less than 3.3 volts, the liquid crystal antenna 110 can continuously output the millimeter wave detection signal S1 to achieve the effect of continuously monitoring the subject 900 . In some embodiments, the biosignal detection system 100 can continuously monitor the breathing and heartbeat of the subject 900 . When the breathing or heartbeat of the subject 900 is abnormal, the biosignal detection system 100 can issue a warning. However, this case does not use This is the limit.

In one embodiment, when the voltage level of the respiration signal is greater than the first voltage, the liquid crystal antenna 110 continues to output the millimeter wave detection signal. For example, when the voltage level of the respiratory signal is greater than 1.75 volts, the liquid crystal antenna 110 can continuously output the millimeter wave detection signal S1 to achieve the effect of continuously monitoring the subject 900 .

Figures 5A to 5B are schematic diagrams illustrating the potential levels of various signals in a biological signal detection system according to an embodiment of the present invention. Please refer to Figure 1 and Figures 5A-5B. In one embodiment, the biosignal detection system 100 further includes a third processor 143, a shifter 145 and a converter 147. For example, the third processor 143 can be any logic gate array (for example: Field Programmable Gate Array (FPGA)), and the shifter 145 can be a voltage level shifter (Level shifter), the converter 147 can be any digital-to-analog converter (for example: a driver integrated circuit digital-to-analog converter (Driver IC DAC)), but this case is not limited to this.

In operation, the first processor 130 outputs the read signal RD (as shown in FIG. 5A). For example, the first processor 130 can output the preset read signal RD to the third processor 143, but the present case is not limited to this.

Then, the third processor 143 is used to output the adjustment signal SD according to the read signal RD. For example, the third processor 143 can simultaneously transmit the adjustment command (command) and related data (data) to the offset device 145 and/or the converter 147 by outputting the adjustment signal SD, but this case is not limited to this. . In some embodiments, during the time interval T1, the first processor 130 outputs the read signal RD, but the present case is not limited to this.

Next, the offset device 145 is used to output the gate signal VS according to the adjustment signal SD (as shown in Figure 5B). For example, the offset device 145 can output the gate signal VS to the liquid crystal antenna 110, but the present invention is not limited to this. In some embodiments, during the time interval T1, the offset device 145 outputs the gate signal VS, but the present invention is not limited to this.

Next, the converter 147 is used to output the source signal HS (as shown in FIG. 5B ) according to the adjustment signal SD, and the source signal HS includes the write signal WD (as shown in FIG. 5A ). For example, the converter 147 can output the source signal HS to the liquid crystal antenna 110, and the source signal HS can have a write signal WD, but the present case is not limited to this. In some embodiments, during the time interval T1, the converter 147 outputs the source signal HS, but the present case is not limited to this.

In some embodiments, the first processor 130 may output the enable signal SF to the third processor 143 . For example, the start signal SF will continue to maintain a high level after the initial data is written to the third processor 143. When the first processor 130 needs to update data, the start signal SF can become a low level and the timing control stops until until the update of the third processor 143 is completed, but this case is not limited to this.

In one embodiment, the setting signal includes a gate signal VS and a source signal HS, and the liquid crystal antenna 110 includes a gate driver 111 and a source driver 113 . For example, the setting signal received by the liquid crystal antenna 110 may include a gate signal VS and a source signal HS, but the present invention is not limited to this.

In this embodiment, the gate driver 111 is used to receive the gate signal VS. Then, the source driver 113 is used to receive the source signal HS, and the gate driver 111 and the source driver 113 form the hologram pattern P1 or P2 according to the gate signal VS and the source signal HS (as shown in Figure 2) . For example, the liquid crystal antenna 110 can use the gate driver 111 and the source driver 113 to form a holographic pattern P1 or P2 according to the gate signal VS and the source signal HS, and output millimeter waves at different angles (or specific angles). Detect signal S1, but this case is not limited to this.

Figure 6 is a schematic diagram illustrating the potential levels of various signals in a biological signal detection system according to an embodiment of the present invention. Please refer to Figure 1, Figure 5A and Figure 6. In one embodiment, the write signal data1 output by the converter 147 includes a plurality of data signals (for example: data signals V1˜V16), and a plurality of data signals (for example: data signals V1˜V16). For example: data signals V1 ~ V16) are related to the data voltage range. For example, the write signal data1 may have a plurality of data signals (for example, data signals V1˜V16), and at this time, the offset device 145 may output the gate signal G1, but the present case is not limited to this. In addition, the detailed description of a plurality of data signals (for example: data signals V1 to V16) is as follows.

plural data signals Voltage value (V) Data signal V1 8.28 Data signal V2 3 Data signal V3 3 Data signal V4 7.51 Data signal V5 4.92 Data signal V6 3 Data signal V7 8.5 Data signal V8 3 Data signal V9 4.87 Data signal V10 3 Data signal V11 3 Data signal V12 8.12 Data signal V13 8.34 Data signal V14 3 Data signal V15 6.68 Data signal V16 3 Table I

In some embodiments, please refer to Figure 1, Figure 6 and Table 1. There may be 16 plural data signals (for example: data signals V1~V16), and each data signal has its corresponding voltage value (such as shown in Table 1), but this case is not limited to this. In addition, the plurality of data signals (for example, data signals V1 to V16) may be related to a data voltage range. For example, the voltage values of the plurality of data signals (for example, data signals V1 to V16) may be between 3 and 8.5 volts (V). time, but this case is not limited to this.

In some embodiments, the biosignal detection system 100 can be installed on the ceiling or wall of a building. For example, the biosignal detection system 100 monitors the physiological characteristics of the subject 900 through the millimeter wave detection signal S1. It does not need to use a lens or any imaging technology. As long as it can effectively receive the millimeter wave physiological signal R1, it can continuously monitor the subject. The physiological characteristics of the person 900 are measured, so the biosignal detection system 100 is installed in a hidden place or anywhere that can effectively send and receive millimeter wave signals to achieve the effect of flexibility in installation, but this case is not limited to this.

Figure 7 is a flow chart showing the steps of a biological signal detection method according to an embodiment of the present case. To make the biosignal detection method 700 in Figure 7 easy to understand, please refer to Figures 1 to 4 and Figure 7 together. The steps of the biosignal detection method 700 in Figure 7 are described in detail below.

In step 710, the liquid crystal antenna forms a holographic pattern according to the set signal and outputs a millimeter wave detection signal from a specific angle, and the millimeter wave detection signal is reflected into a millimeter wave physiological signal according to the physiological characteristics of the subject. In one embodiment, the liquid crystal antenna 110 can be used to form a holographic pattern (Holographic Pattern) P1 according to the setting signal and output the millimeter wave detection signal S1 (such as (shown in Figure 1), and the millimeter wave detection signal S1 is reflected into a millimeter wave physiological signal R1 according to the physiological characteristics of the subject 900. For example, the operation of the biological signal detection method 700 is similar to the operation of the biological signal detection system 100 in FIG. 1 . For the sake of simplicity, description of other operations in the biological signal detection method 700 will be omitted here.

In step 720, millimeter wave physiological signals are received through the receiving antenna. In one embodiment, the receiving antenna 121 can be used to receive the millimeter wave physiological signal R1. For example, the operation of the biological signal detection method 700 is similar to the operation of the biological signal detection system 100 in FIG. 1 . For the sake of simplicity, description of other operations in the biological signal detection method 700 will be omitted here.

In step 730, the first processor adjusts a specific angle of the liquid crystal antenna according to the intensity of the millimeter wave physiological signal, and the holographic pattern is related to the specific angle. In one embodiment, the first processor 130 can be used to adjust a specific angle of the liquid crystal antenna 110 according to the intensity of the millimeter wave physiological signal R1, and the holographic pattern P1 or P2 is related to the specific angle. For example, the operation of the biological signal detection method 700 is similar to the operation of the biological signal detection system 100 in FIG. 1 . For the sake of simplicity, description of other operations in the biological signal detection method 700 will be omitted here.

In step 740, the second processor determines whether the respiratory signal of the millimeter wave physiological signal is between the first voltage and the second voltage, and the second voltage is greater than the first voltage. In one embodiment, the second processor 123 can be used to confirm whether the respiratory signal of the millimeter wave physiological signal R1 is between the first voltage and the second voltage, and the second voltage is greater than the first voltage. For example, the operation of the biological signal detection method 700 is similar to the operation of the biological signal detection system 100 in FIG. 1 . For the sake of simplicity, description of other operations in the biological signal detection method 700 will be omitted here.

In step 750, the filter circuit performs high-pass filtering and low-pass filtering, and adjusts the voltage level of the respiration signal according to the respiration signal. In one embodiment, the filter circuit 141 can be used to perform high-pass filtering and low-pass filtering, and adjust the voltage level of the respiration signal according to the respiration signal. For example, the operation of the biological signal detection method 700 is similar to the operation of the biological signal detection system 100 in FIG. 1 . For the sake of simplicity, description of other operations in the biological signal detection method 700 will be omitted here.

In step 760, when the voltage level of the respiratory signal is less than the second voltage, the millimeter wave detection signal is continuously output through the liquid crystal antenna. In one embodiment, when the voltage level of the respiration signal is lower than the second voltage, the liquid crystal antenna 110 can continuously output the millimeter wave detection signal S1. For example, the operation of the biological signal detection method 700 is similar to the operation of the biological signal detection system 100 in FIG. 1 . For the sake of simplicity, description of other operations in the biological signal detection method 700 will be omitted here.

In one embodiment, the biological signal detection method 700 further includes the following steps: when the voltage level of the respiratory signal is greater than the first voltage, the liquid crystal antenna 110 can continuously output the millimeter wave detection signal. For example, the operation of the biological signal detection method 700 is similar to the operation of the biological signal detection system 100 in FIG. 1 . For the sake of simplicity, description of other operations in the biological signal detection method 700 will be omitted here.

Please refer to Figure 1 and Figures 5A-5B. In one embodiment, the biological signal detection method 700 further includes the following steps: outputting the read signal RD through the first processor 130 (as shown in Figure 5A); The third processor 143 outputs the adjustment signal SD according to the read signal RD; the offset device 145 outputs the gate signal VS according to the adjustment signal SD (as shown in Figure 5B); and the converter 147 outputs the adjustment signal according to SD outputs a source signal HS (as shown in Figure 5B), and the source signal HS includes a write signal WD (as shown in Figure 5A). For example, the operation of the biological signal detection method 700 is similar to the operation of the biological signal detection system 100 in FIG. 1 . For the sake of simplicity, description of other operations in the biological signal detection method 700 will be omitted here.

In one embodiment, the biological signal detection method 700 further includes the following steps: receiving the gate signal VS through the gate driver 111 of the liquid crystal antenna 110 (as shown in Figure 1), and the setting signal includes the gate signal VS and The source signal HS; and the source driver 113 of the liquid crystal antenna 110 receives the source signal HS, and the gate driver 111 and the source driver 113 form the holographic pattern P1 or P2 according to the gate signal VS and the source signal HS. (As shown in Figure 2). For example, the operation of the biological signal detection method 700 is similar to the operation of the biological signal detection system 100 in FIG. 1 . For the sake of simplicity, description of other operations in the biological signal detection method 700 will be omitted here.

Please refer to Figure 1, Figure 5A and Figure 6. In one embodiment, the write signal data1 output by the converter 147 includes a plurality of data signals (for example: data signals V1˜V16), and a plurality of data signals (for example: data signals V1˜V16). For example: data signals V1 ~ V16) are related to the data voltage range. For example, the operation of the biological signal detection method 700 is similar to the operation of the biological signal detection system 100 in FIG. 1 . For the sake of simplicity, description of other operations in the biological signal detection method 700 will be omitted here.

It can be seen from the above embodiments that the application of this case has the following advantages. The biological signal detection system and biological signal detection method shown in the embodiment of this case can achieve the effect of monitoring the physiological characteristics of the subject through the use of liquid crystal antennas and holographic patterns.

In addition, the first processor 130 of this case can use a scanning algorithm to output the millimeter wave detection signal S1 (ie, perform signal scanning) at different angles through the liquid crystal antenna 110 to a location (for example, a nursing bed), and confirm the millimeter The intensity of the physiological wave signal R1 is determined to achieve the effect of confirming the location of the maximum signal. Furthermore, the biological signal detection system 100 in this case can automatically adjust the voltage level of the respiratory signal between the first voltage and the second voltage, so that the liquid crystal antenna 110 can continuously output the millimeter wave detection signal S1 to achieve continuous monitoring. The effect of 900 subjects.

Then, the biological signal detection system 100 in this case monitors the physiological characteristics of the subject 900 through the millimeter wave detection signal S1. It does not need to use a lens or any imaging technology. As long as it can effectively receive the millimeter wave physiological signal R1, it can continuously monitor the subject. The biological signal detection system 100 can be installed in a hidden place or anywhere that can effectively send and receive millimeter wave signals to achieve the effect of flexibility in installation.

Although the above implementation mode discloses specific examples of the present case, it is not intended to limit the present case. Persons with ordinary knowledge in the technical field to which the present case belongs can, without departing from the principles and spirit of the present case, proceed with it. Various changes and modifications, therefore the scope of protection in this case shall be subject to the scope of the accompanying patent application.

100:Biological signal detection system

110:LCD antenna

111: Gate driver

113: Source driver

120:First device

121:receiving antenna

123: Second processor

130: First processor

140:Second device

141: Filter circuit

143:Third processor

145: Offset

147:Converter

900: Subject

S1: Millimeter wave detection signal

R1: Millimeter wave physiological signal

P1: Hologram pattern

P2: Hologram pattern

310: Pitch angle signal field diagram

320: Horizontal angle signal field diagram

1411, 1412: first filter

1413, 1414: Second filter

1415, 1416: Adjuster

RD: read signal

SD: adjust signal

WD: write signal

T1: time interval

SF: start signal

VS: gate signal

HS: source signal

data1: write signal

G1: Gate signal

700:Biological signal detection method

710～760: steps

In order to make the above and other purposes, features, advantages and embodiments of this case more obvious and understandable, the attached drawings are described as follows: Figure 1 is a schematic block diagram of a biological signal detection system according to an embodiment of the present case. Figure 2 is a usage scenario diagram of a biosignal detection system according to an embodiment of this case. Figures 3A to 3B illustrate a usage scenario diagram of a biosignal detection system according to an embodiment of the present case. Figure 4 is a detailed circuit diagram of a filter circuit of a biological signal detection system according to an embodiment of the present case. Figures 5A to 5B are schematic diagrams illustrating the potential levels of various signals in a biological signal detection system according to an embodiment of the present invention. Figure 6 is a schematic diagram illustrating the potential levels of various signals in a biological signal detection system according to an embodiment of the present invention. Figure 7 is a flow chart showing the steps of a biological signal detection method according to an embodiment of the present case. In accordance with common practice, the various features and components in the drawings are not drawn to scale, but are drawn in such a way as to best present the specific features and components relevant to this case. In addition, the same or similar reference symbols are used to refer to similar elements/components in different drawings.

Domestic storage information (please note in order of storage institution, date and number) without Overseas storage information (please note in order of storage country, institution, date, and number) without

100:Biological signal detection system

110:LCD antenna

111: Gate driver

113: Source driver

120:First device

121:receiving antenna

123: Second processor

130: First processor

140:Second device

141: Filter circuit

143:Third processor

145: Offset

147:Converter

900: Subject

S1: Millimeter wave detection signal

R1: Millimeter wave physiological signal

Claims (10)

A biological signal detection system, including: A liquid crystal antenna used to form a holographic pattern according to a set signal and output a millimeter wave detection signal from a specific angle, wherein the millimeter wave detection signal is reflected according to a physiological characteristic of a subject is a millimeter wave physiological signal; a receiving antenna for receiving the millimeter wave physiological signal; a first processor for adjusting the specific angle of the liquid crystal antenna according to a strength of the millimeter wave physiological signal, wherein the holographic pattern is related to the specific angle; a second processor coupled to the receiving antenna and used to confirm whether a respiratory signal of the millimeter wave physiological signal is between a first voltage and a second voltage, wherein the second voltage is greater than the first voltage; as well as A filter circuit for performing a high-pass filter and a low-pass filter, and adjusting a voltage level of the respiration signal according to the respiration signal, wherein when the voltage level of the respiration signal is less than the second voltage, the The liquid crystal antenna continues to output the millimeter wave detection signal. The biological signal detection system of claim 1, wherein when the voltage level of the respiratory signal is greater than the first voltage, the liquid crystal antenna continues to output the millimeter wave detection signal. The biological signal detection system of claim 1, wherein the first processor outputs a read signal, and the biological signal detection system further includes: a third processor configured to output an adjustment signal according to the read signal; a shifter for outputting a gate signal according to the adjustment signal; and A converter is used to output a source signal according to the adjustment signal, wherein the source signal includes a write signal. The biological signal detection system as described in claim 3, wherein the setting signal includes the gate signal and the source signal, and the liquid crystal antenna includes: a gate driver for receiving the gate signal; and A source driver is used to receive the source signal, wherein the gate driver and the source driver form the hologram pattern according to the gate signal and the source signal. The biological signal detection system of claim 4, wherein the write signal output by the converter includes a plurality of data signals, wherein the data signals are related to a data voltage range. A biological signal detection method, including: A liquid crystal antenna forms a holographic pattern according to a set signal and outputs a millimeter wave detection signal from a specific angle, where the millimeter wave detection signal is reflected according to a physiological characteristic of a subject. One millimeter wave physiological signal; Receive the millimeter wave physiological signal through a receiving antenna; A first processor is used to adjust the specific angle of the liquid crystal antenna according to a strength of the millimeter wave physiological signal, wherein the holographic pattern is related to the specific angle; Confirm whether a respiration signal of the millimeter wave physiological signal is between a first voltage and a second voltage, wherein the second voltage is greater than the first voltage through a second processor; Performing a high-pass filter and a low-pass filter through a filter circuit, and adjusting a voltage level of the respiration signal according to the respiration signal; and When the voltage level of the breathing signal is less than the second voltage, the millimeter wave detection signal is continuously output through the liquid crystal antenna. The biosignal detection method as described in request item 6 further includes: When the voltage level of the breathing signal is greater than the first voltage, the millimeter wave detection signal is continuously output through the liquid crystal antenna. The biosignal detection method as described in request item 6 further includes: Outputting a read signal through the first processor; A third processor outputs an adjustment signal according to the read signal; outputting a gate signal according to the adjustment signal through an offset device; and A converter outputs a source signal according to the adjustment signal, wherein the source signal includes a write signal. The biological signal detection method as described in claim 8 further includes; The gate signal is received by a gate driver of the liquid crystal antenna, wherein the setting signal includes the gate signal and the source signal; and The source signal is received by a source driver of the liquid crystal antenna, wherein the gate driver and the source driver form the holographic pattern according to the gate signal and the source signal. The biological signal detection method of claim 9, wherein the write signal output by the converter includes a plurality of data signals, wherein the data signals are related to a data voltage range.