CN115184437B - Biological signal detection system, method and medium based on RISC-V - Google Patents

Abstract

The invention relates to the field of detection technology, and in particular to a RISC-V-based biological signal detection system, method and medium. The system includes: a biological detection module, which is in contact with the sample to be tested, and is configured to detect the sample to be tested using an ISFET array sensor to generate detection data; a RISC-V core module, which is composed of a CPU that complies with the RISC-V instruction set standard The kernel is constituted and structured to process the received data and generate processing results; the platform management module communicates with the biological detection module and the RISC‑V kernel module respectively, and is structured to send the detection data to the RISC‑V kernel module and receive and Manage processing results. The solution of the present invention applies RISC-V to ISFET detection data processing, combines the advantages of both RISC-V and ISFET sensors, broadens the application scenarios of the ISFET detection system, and better caters to the development of the industry.

Description

A RISC-V-based biological signal detection system, method and medium

Technical field

The present invention relates to the field of detection technology, and in particular to a RISC-V-based biological signal detection system, method and medium.

Background technique

ISFET (Ion Sensitive Field Effect Transistor, ISFET) is an ion-sensitive field effect transistor. It is a microelectronic ion-selective sensitive element. Its production method is to remove the metal gate of ordinary MOSFET and modify a specific ion-sensitive film on the insulating layer. , contact the sensitive membrane with the sample to be measured, and the measured drain-source current will have a linear relationship with the concentration of the response ions, so that the concentration of specific ions can be detected. In recent years, ISFET, as a branch of biosensors, can be used to detect inorganic ions such as H+, Na+, Cl-, etc., as well as antigen-antibody reactions, microorganisms, etc. Therefore, ISFET is widely used in clinical medicine, industrial control, environmental monitoring and other research .

At present, there is no perfect biological signal detection system. The analysis and processing of detection signals of the existing biological signal detection system are not timely, and the power consumption is high when it is in the detection state at all times.

Contents of the invention

In view of this, it is necessary to provide a RISC-V-based biological signal detection system, a RISC-V-based biological signal detection method, a computer device and a computer-readable storage medium to address the above technical issues.

According to a first aspect of the present invention, a RISC-V-based biological signal detection system is provided, and the method includes:

A biological detection module, which is in contact with the sample to be tested and is configured to detect the sample to be tested using an ISFET array sensor to generate detection data;

RISC-V core module, the RISC-V core module is composed of a CPU core that complies with the RISC-V instruction set standard, and is configured to process the received data to generate processing results;

A platform management module, which communicates with the biological detection module and the RISC-V kernel module respectively, and is configured to send the detection data to the RISC-V kernel module, and receive and manage the process result.

In some embodiments, the system further includes a data monitoring module, which is disposed between the platform management module and the biological detection module and is configured to analyze the detection data to determine the The status of the biometric detection module, and feedback of the status to the platform management module.

In some embodiments, the data monitoring module is further configured to:

In response to the duration of the biological detection module not generating detection data reaching a preset value, it is confirmed that the biological detection module is in a non-working state;

In response to the biological detection module generating detection data, it is determined whether the signal voltage value corresponding to the detection data falls within the range formed by the preset highest voltage value and the preset lowest voltage value;

In response to falling within the range formed by the preset highest voltage value and the preset lowest voltage value, it is confirmed that the biological detection module is in normal working condition;

In response to not falling within the range formed by the preset highest voltage value and the preset lowest voltage value, it is confirmed that the biological detection module is in a special working state.

In some embodiments, the data monitoring module is further configured to:

The temperature and humidity of the environment where the biological detection module is located are detected and sent to the platform management module.

In some embodiments, the platform management module is further configured to:

In response to the biological detection module being in an inoperative state, issuing a sleep instruction to the biological detection module to enter a low power consumption mode;

In response to the biological detection module being in a normal working state, issuing a first mode selection command to the RISC-V kernel module so that the RISC-V kernel module works in the machine mode defined by the RISC-V architecture;

In response to the biological detection module being in a special working state, a second mode selection command is issued to the RISC-V kernel module and an alarm is issued, so that the RISC-V kernel module works in the user mode defined by the RISC-V architecture. .

In some embodiments, the system further includes a communication module and a remote device. The communication module is connected to the remote device and the platform management module respectively, and is used to send the processing results to the remote device. equipment.

In some embodiments, the biological detection module includes an ISFET array sensor and a data acquisition card;

The ISFET array sensor is driven by a clock signal and is in direct contact with the sample to be tested to detect corresponding signals;

The data acquisition card is driven by the same frequency clock signal and is connected to the ISFET array sensor for collecting detection signals transmitted by the sensor;

Wherein, the ISFET array sensor includes an ISFET array unit, a signal acquisition circuit, a row selection circuit and a column selection circuit;

The ISFET array unit is composed of multiple pixels, each pixel contains an ISFET device, which is used to directly contact the sample to be measured and convert the chemical signal of the sample concentration into an electrical signal for output;

The signal acquisition circuit is used to collect the electrical signals transmitted by the ISFET array and transmit them to the data acquisition card;

The row selection circuit and the column selection circuit are both composed of a shift register or a decoder, and are used to select pixel units in the ISFET array in sequence through periodic clock signals for electrical signal output.

According to a second aspect of the present invention, a RISC-V-based biological signal detection method is provided, using the above-mentioned RISC-V-based biological signal detection system, and the method includes:

The biological detection module uses the ISFET array sensor to detect the sample to be tested in contact with it to generate detection data;

The platform management module sends the detection data to the RISC-V kernel module;

The RISC-V kernel module processes the detection data to generate processing results and sends them to the platform management module;

The processing results are received and managed by the platform management module.

According to a third aspect of the present invention, a computer device is also provided. The computer device includes:

at least one processor; and

The memory stores a computer program that can be run on the processor. When the processor executes the program, it executes the aforementioned RISC-V-based biological signal detection method. The method includes the following steps:

The biological detection module uses the ISFET array sensor to detect the sample to be tested in contact with it to generate detection data;

The platform management module sends the detection data to the RISC-V kernel module;

The RISC-V kernel module processes the detection data to generate processing results and sends them to the platform management module;

The processing results are received and managed by the platform management module.

According to a fourth aspect of the present invention, a computer-readable storage medium is also provided. The computer-readable storage medium stores a computer program. When the computer program is executed by the processor, the aforementioned RISC-V-based biological signal detection method is executed. The method described includes the following steps:

The biological detection module uses the ISFET array sensor to detect the sample to be tested in contact with it to generate detection data;

The platform management module sends the detection data to the RISC-V kernel module;

The RISC-V kernel module processes the detection data to generate processing results and sends them to the platform management module;

The processing results are received and managed by the platform management module.

The above-mentioned biological signal detection system based on RISC-V uses the ISFET array sensor to detect and generate detection data when the biological detection module comes into contact with the sample to be tested, and then uses the platform management module to send the detection data generated by the biological detection module to RISC-V. The V core module processes to generate processing results, and finally the platform management module receives and manages the processing results, realizing the combination of RISC-V and ISFET sensors, broadening the application scenarios of the ISFET detection system, and better catering to the development of the industry .

In addition, the present invention also provides a RISC-V-based biological signal detection method, a computer device and a computer-readable storage medium, which can also achieve the above technical effects and will not be described again here.

Description of the drawings

In order to explain the embodiments of the present invention or the technical solutions in the prior art more clearly, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are only These are some embodiments of the present invention. For those of ordinary skill in the art, other embodiments can be obtained based on these drawings without exerting creative efforts.

Figure 1 is a schematic structural diagram of a RISC-V-based biological signal detection system provided by one embodiment of the present invention;

Figure 2 is a schematic diagram of the frame structure of an ISFET sensor provided by an embodiment of the present invention;

Figure 3 is a structural diagram of an ISFET device provided by another embodiment of the present invention;

Figure 4 is a schematic flow chart of a RISC-V-based biological signal detection method provided by an embodiment of the present invention;

Figure 5 is an internal structural diagram of a computer device in another embodiment of the present invention.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be further described in detail below with reference to specific embodiments and the accompanying drawings.

It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are to distinguish two entities or parameters with the same name but not the same, so it can be seen that "first" and "second" It is only for the convenience of description and should not be understood as a limitation on the embodiments of the present invention, and subsequent embodiments will not describe this one by one.

In one embodiment, please refer to Figure 1. The present invention provides a RISC-V-based biological signal detection system. Specifically, the system includes:

A biological detection module, which is in contact with the sample to be tested and is configured to detect the sample to be tested using an ISFET array sensor to generate detection data;

RISC-V core module, the RISC-V core module is composed of a CPU core that complies with the RISC-V instruction set standard, and is configured to process the received data to generate processing results; wherein the RISC-V instruction set is based on the reduced instruction set An open instruction set architecture (ISA) based on computing (RISC) principles is established on the basis of the continuous development and maturity of the instruction set. RISC-V is a completely open source instruction set architecture with a simple design, compatible with various programming languages, easy to modularize, has a complete tool chain, and has a large number of open source implementations and tape-out cases.

A platform management module, which communicates with the biological detection module and the RISC-V kernel module respectively, and is configured to send the detection data to the RISC-V kernel module, and receive and manage the process result.

The above-mentioned biological signal detection system based on RISC-V uses the ISFET array sensor to detect and generate detection data when the biological detection module comes into contact with the sample to be tested, and then uses the platform management module to send the detection data generated by the biological detection module to RISC-V. The V core module processes to generate processing results, and finally the platform management module receives and manages the processing results, realizing the combination of RISC-V and ISFET sensors, broadening the application scenarios of the ISFET detection system, and better catering to the development of the industry

In yet another embodiment, as shown in Figure 1, the system further includes a data monitoring module, which is disposed between the platform management module and the biological detection module and is configured to monitor all The detection data is analyzed to determine the status of the biological detection module, and the status is fed back to the platform management module.

In some embodiments, the data monitoring module is further configured to:

In response to the duration of the biological detection module not generating detection data reaching a preset value, it is confirmed that the biological detection module is in a non-working state;

In response to the biological detection module generating detection data, it is determined whether the signal voltage value corresponding to the detection data falls within the range formed by the preset highest voltage value and the preset lowest voltage value;

In response to falling within the range formed by the preset highest voltage value and the preset lowest voltage value, it is confirmed that the biological detection module is in normal working condition;

In response to not falling within the range formed by the preset highest voltage value and the preset lowest voltage value, it is confirmed that the biological detection module is in a special working state.

In some embodiments, the data monitoring module is further configured to:

The temperature and humidity of the environment where the biological detection module is located are detected and sent to the platform management module.

In some embodiments, the platform management module is further configured to:

In response to the biological detection module being in an inoperative state, issuing a sleep instruction to the biological detection module to enter a low power consumption mode;

In response to the biological detection module being in a normal working state, issuing a first mode selection command to the RISC-V kernel module so that the RISC-V kernel module works in the machine mode defined by the RISC-V architecture;

In response to the biological detection module being in a special working state, a second mode selection command is issued to the RISC-V kernel module and an alarm is issued, so that the RISC-V kernel module works in the user mode defined by the RISC-V architecture. .

A biological signal detection system based on RISC-V in this embodiment controls the working status of the RISC-V core module through the cooperation of the data monitoring module and the platform management module, reducing the power consumption of the detection system. Through the communication transmission module and The biodetection module transmits data, improves the speed of data processing, increases the rate of sample detection, ensures time efficiency in biodetection applications, and meets the requirements of the constantly evolving biodetection system.

In some embodiments, please continue to refer to Figure 1. In order to further improve the system flexibility and facilitate the management of processing results and detection data, the system also includes a communication module and a remote device. The communication module is connected to the remote device respectively. The remote device is connected to the platform management module and used to send the processing result to the remote device.

In some embodiments, please refer to Figure 2, the biological detection module includes an ISFET array sensor and a data acquisition card;

The ISFET array sensor is driven by a clock signal and is in direct contact with the sample to be tested to detect corresponding signals;

The data acquisition card is driven by the same frequency clock signal and is connected to the ISFET array sensor for collecting detection signals transmitted by the sensor;

Wherein, please refer to Figure 3, the ISFET array sensor includes an ISFET array unit, a signal acquisition circuit, a row selection circuit and a column selection circuit;

The ISFET array unit is composed of multiple pixels, each pixel contains an ISFET device, which is used to directly contact the sample to be measured and convert the chemical signal of the sample concentration into an electrical signal for output;

The signal acquisition circuit is used to collect the electrical signals transmitted by the ISFET array and transmit them to the data acquisition card;

The row selection circuit and the column selection circuit are both composed of a shift register or a decoder, and are used to select pixel units in the ISFET array in sequence through periodic clock signals for electrical signal output.

In another embodiment, as shown in Figure 4, the present invention also provides a RISC-V-based biological signal detection method, using the above-mentioned RISC-V-based biological signal detection system, the method includes Following steps:

Step S1, the biological detection module uses the ISFET array sensor to detect the sample to be tested in contact with it to generate detection data;

Step S2, the platform management module sends the detection data to the RISC-V kernel module;

Step S3: The RISC-V kernel module processes the detection data to generate processing results and sends them to the platform management module;

Step S4: The platform management module receives and manages the processing results.

The above-mentioned RISC-V-based biological signal detection method uses an ISFET array sensor to detect and generate detection data when the biological detection module comes into contact with the sample to be tested, and then uses the platform management module to send the detection data generated by the biological detection module to RISC-V. The V core module performs processing to generate processing results, and finally the platform management module receives and manages the processing results, realizing the combination of RISC-V and ISFET sensors, broadening the application scenarios of the ISFET detection system, and better catering to the development of the industry .

In some embodiments, the system further includes a data monitoring module, which is disposed between the platform management module and the biological detection module and is configured to analyze the detection data to determine the The status of the biometric detection module, and feedback of the status to the platform management module.

In some embodiments, the method includes utilizing the data monitoring module to perform the following steps:

In response to the duration of the biological detection module not generating detection data reaching a preset value, it is confirmed that the biological detection module is in a non-working state;

In response to the biological detection module generating detection data, it is determined whether the signal voltage value corresponding to the detection data falls within the range formed by the preset highest voltage value and the preset lowest voltage value;

In response to falling within the range formed by the preset highest voltage value and the preset lowest voltage value, it is confirmed that the biological detection module is in normal working condition;

In response to not falling within the range formed by the preset highest voltage value and the preset lowest voltage value, it is confirmed that the biological detection module is in a special working state.

In some embodiments, the method further includes utilizing the data monitoring module to perform the following steps:

The temperature and humidity of the environment where the biological detection module is located are detected and sent to the platform management module.

In some embodiments, the method further includes utilizing the platform management module to perform the following steps:

In response to the biological detection module being in an inoperative state, issuing a sleep instruction to the biological detection module to enter a low power consumption mode;

In response to the biological detection module being in a normal working state, issuing a first mode selection command to the RISC-V kernel module so that the RISC-V kernel module works in the machine mode defined by the RISC-V architecture;

In response to the biological detection module being in a special working state, a second mode selection command is issued to the RISC-V kernel module and an alarm is issued, so that the RISC-V kernel module works in the user mode defined by the RISC-V architecture. .

In some embodiments, the system further includes a communication module and a remote device. The communication module is connected to the remote device and the platform management module respectively, and is used to send the processing results to the remote device. equipment.

In some embodiments, the biological detection module includes an ISFET array sensor and a data acquisition card;

The ISFET array sensor is driven by a clock signal and is in direct contact with the sample to be tested to detect corresponding signals;

The data acquisition card is driven by the same frequency clock signal and is connected to the ISFET array sensor for collecting detection signals transmitted by the sensor;

Wherein, the ISFET array sensor includes an ISFET array unit, a signal acquisition circuit, a row selection circuit and a column selection circuit;

The ISFET array unit is composed of multiple pixels, each pixel contains an ISFET device, which is used to directly contact the sample to be measured and convert the chemical signal of the sample concentration into an electrical signal for output;

The signal acquisition circuit is used to collect the electrical signals transmitted by the ISFET array and transmit them to the data acquisition card;

The row selection circuit and the column selection circuit are both composed of a shift register or a decoder, and are used to select pixel units in the ISFET array in sequence through periodic clock signals for outputting electrical signals.

According to another aspect of the present invention, a computer device is provided. The computer device may be a server. Please refer to FIG. 5 for its internal structure diagram. The computer device includes a processor, memory, network interface, and database connected through a system bus. Wherein, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes non-volatile storage media and internal memory. The non-volatile storage medium stores operating systems, computer programs and databases. This internal memory provides an environment for the execution of operating systems and computer programs in non-volatile storage media. The computer device's database is used to store data. The network interface of the computer device is used to communicate with external terminals through a network connection. When the computer program is executed by the processor, the above-mentioned RISC-V-based biological signal detection method is implemented. Specifically, the method includes the following steps:

The biological detection module uses the ISFET array sensor to detect the sample to be tested in contact with it to generate detection data;

The platform management module sends the detection data to the RISC-V kernel module;

The RISC-V kernel module processes the detection data to generate processing results and sends them to the platform management module;

The processing results are received and managed by the platform management module.

In some embodiments, the method further includes analyzing the detection data by a data monitoring module to determine the status of the biological detection module, and feeding back the working status to the platform management module.

In some embodiments, the method includes utilizing the data monitoring module to perform the following steps:

In response to the duration of the biological detection module not generating detection data reaching a preset value, it is confirmed that the biological detection module is in a non-working state;

In response to the biological detection module generating detection data, it is determined whether the signal voltage value corresponding to the detection data falls within the range formed by the preset highest voltage value and the preset lowest voltage value;

In response to falling within the range formed by the preset highest voltage value and the preset lowest voltage value, it is confirmed that the biological detection module is in normal working condition;

In response to not falling within the range formed by the preset highest voltage value and the preset lowest voltage value, it is confirmed that the biological detection module is in a special working state.

In some embodiments, the method further includes utilizing the data monitoring module to perform the following steps:

The temperature and humidity of the environment where the biological detection module is located are detected and sent to the platform management module.

In some embodiments, the method further includes utilizing the platform management module to perform the following steps:

In response to the biological detection module being in an inoperative state, issuing a sleep instruction to the biological detection module to enter a low power consumption mode;

In response to the biological detection module being in a normal working state, issuing a first mode selection command to the RISC-V kernel module so that the RISC-V kernel module works in the machine mode defined by the RISC-V architecture;

In response to the biological detection module being in a special working state, a second mode selection command is issued to the RISC-V kernel module and an alarm is issued, so that the RISC-V kernel module works in the user mode defined by the RISC-V architecture. .

In some embodiments, the method further includes using a communication module to send the processing result to a remote device.

In some embodiments, the method further includes the biological detection module including an ISFET array sensor and a data acquisition card;

The ISFET array sensor is driven by the clock signal, and the ISFET array sensor is directly contacted with the sample to be tested to detect the corresponding signal;

The detection signal transmitted by the sensor is collected by the data acquisition card;

Each ISFET device in the multiple pixels constituting the ISFET array unit is in direct contact with the sample to be measured and converts the chemical signal of the sample concentration into an electrical signal for output;

The electrical signal output from the ISFET array is collected by the signal acquisition circuit and transmitted to the data acquisition card;

The row selection circuit and the column selection circuit sequentially select pixel units in the ISFET array through periodic clock signals to output electrical signals.

According to another aspect of the present invention, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned RISC-V-based biological signal detection method is implemented. Specifically, , including performing the following steps:

The biological detection module uses the ISFET array sensor to detect the sample to be tested in contact with it to generate detection data;

The platform management module sends the detection data to the RISC-V kernel module;

The RISC-V kernel module processes the detection data to generate processing results and sends them to the platform management module;

The processing results are received and managed by the platform management module.

In some embodiments, the method further includes analyzing the detection data by a data monitoring module to determine the status of the biological detection module, and feeding back the working status to the platform management module.

In some embodiments, the method includes utilizing the data monitoring module to perform the following steps:

In response to the duration of the biological detection module not generating detection data reaching a preset value, it is confirmed that the biological detection module is in a non-working state;

In response to the biological detection module generating detection data, it is determined whether the signal voltage value corresponding to the detection data falls within the range formed by the preset highest voltage value and the preset lowest voltage value;

In response to falling within the range formed by the preset highest voltage value and the preset lowest voltage value, it is confirmed that the biological detection module is in normal working condition;

In response to not falling within the range formed by the preset highest voltage value and the preset lowest voltage value, it is confirmed that the biological detection module is in a special working state.

In some embodiments, the method further includes utilizing the data monitoring module to perform the following steps:

The temperature and humidity of the environment where the biological detection module is located are detected and sent to the platform management module.

In some embodiments, the method further includes utilizing the platform management module to perform the following steps:

In response to the biological detection module being in an inoperative state, issuing a sleep instruction to the biological detection module to enter a low power consumption mode;

In response to the biological detection module being in a normal working state, issuing a first mode selection command to the RISC-V kernel module so that the RISC-V kernel module works in the machine mode defined by the RISC-V architecture;

In response to the biological detection module being in a special working state, a second mode selection command is issued to the RISC-V kernel module and an alarm is issued, so that the RISC-V kernel module works in the user mode defined by the RISC-V architecture. .

In some embodiments, the method further includes using a communication module to send the processing result to a remote device.

In some embodiments, the method further includes the biological detection module including an ISFET array sensor and a data acquisition card;

The ISFET array sensor is driven by the clock signal, and the ISFET array sensor is directly contacted with the sample to be tested to detect the corresponding signal;

The detection signal transmitted by the sensor is collected by the data acquisition card;

Each ISFET device in the multiple pixels constituting the ISFET array unit is in direct contact with the sample to be measured and converts the chemical signal of the sample concentration into an electrical signal for output;

The electrical signal output from the ISFET array is collected by the signal acquisition circuit and transmitted to the data acquisition card;

The row selection circuit and the column selection circuit sequentially select pixel units in the ISFET array through periodic clock signals to output electrical signals.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage. In the media, when executed, the computer program may include the processes of the above method embodiments. Any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and/or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous chain Synchlink DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

The technical features of the above embodiments can be combined in any way. To simplify the description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, all possible combinations should be used. It is considered to be within the scope of this manual.

The above-described embodiments only express several implementation modes of the present application, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the invention patent. It should be noted that, for those of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all fall within the protection scope of the present application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims (7)

1. A RISC-V based biosignal detection system, the system comprising:

the biological detection module is contacted with the sample to be detected and is configured to detect the sample to be detected by using an ISFET array sensor to generate detection data;

the RISC-V kernel module consists of a CPU kernel conforming to the RISC-V instruction set standard and is configured to process received data to generate a processing result, wherein the RISC-V instruction set is an open instruction set architecture established based on a reduced instruction set computing principle;

the platform management module is respectively communicated with the biological detection module and the RISC-V kernel module, and is configured to send the detection data to the RISC-V kernel module and receive and manage the processing result;

the system further includes a data monitoring module disposed between the platform management module and the biological detection module and configured to analyze the detection data to determine a status of the biological detection module and to feed back the status to the platform management module;

the data monitoring module is further configured to:

in response to the duration of the detection data not generated by the biological detection module reaching a preset value, confirming that the biological detection module is in a non-working state;

responding to the biological detection module to generate detection data, and judging whether a signal voltage value corresponding to the detection data falls into a range formed by a preset highest voltage value and a preset lowest voltage value;

responding to the range formed by the preset highest voltage value and the preset lowest voltage value, and confirming that the biological detection module is in a normal working state;

if the biological detection module does not fall into the range formed by the preset highest voltage value and the preset lowest voltage value, confirming that the biological detection module is in a special working state;

the platform management module is further configured to:

responding to the biological detection module in a non-working state, sending a dormancy instruction to the biological detection module so as to enable the biological detection module to enter a low-power consumption mode;

responding to the biological detection module in a normal working state, sending a first mode selection command to the RISC-V kernel module so as to enable the RISC-V kernel module to work in a machine mode defined by a RISC-V architecture;

and in response to the biological detection module being in a special working state, sending a second mode selection command to the RISC-V kernel module and sending an alarm so that the RISC-V kernel module works in a user mode defined by a RISC-V architecture.

2. The RISC-V based biosignal detection system of claim 1, wherein the data monitoring module is further configured to:

and detecting the temperature and the humidity of the environment where the biological detection module is located, and sending the temperature and the humidity to the platform management module.

3. The RISC-V biological signal detection system according to claim 1, further comprising a communication module and a remote device, the communication module being connected to the remote device and the platform management module, respectively, for transmitting the processing result to the remote device.

4. The RISC-V based biosignal detection system of claim 1, wherein the biosignal detection module comprises an ISFET array sensor, a data acquisition card;

the ISFET array sensor is driven by a clock signal and is in direct contact with a sample to be detected to detect a corresponding signal;

the data acquisition card is driven by clock signals with the same frequency and is connected with the ISFET array sensor for acquiring detection signals transmitted by the sensor;

the ISFET array sensor comprises an ISFET array unit, a signal acquisition circuit, a row selection circuit and a column selection circuit;

the ISFET array unit is composed of a plurality of pixels, and each pixel comprises an ISFET device and is used for directly contacting a sample to be tested and converting chemical signals of the concentration of the sample into electric signals to be output;

the signal acquisition circuit is used for acquiring electric signals transmitted by the ISFET array and transmitting the electric signals to the data acquisition card;

the row selection circuit and the column selection circuit are both composed of a shift register or a decoder and are used for sequentially selecting pixel units in the ISFET array to output electric signals through a periodic clock signal.

5. A method for RISC-V based bio-signal detection using the system of any one of claims 1-4, the method comprising:

detecting a sample to be detected contacted with the biological detection module by using an ISFET array sensor to generate detection data;

the platform management module sends the detection data to the RISC-V kernel module;

the RISC-V kernel module processes the detection data to generate a processing result and sends the processing result to the platform management module;

the processing results are received and managed by a platform management module.

6. A computer device, comprising:

at least one processor; and

a memory storing a computer program executable in the processor, the processor executing the RISC-V based bio-signal detection method of claim 5 when the program is executed.

7. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor performs the RISC-V based bio-signal detection method of claim 5.