CN115184437B - Biological signal detection system, method and medium based on RISC-V - Google Patents
Biological signal detection system, method and medium based on RISC-V Download PDFInfo
- Publication number
- CN115184437B CN115184437B CN202210832067.6A CN202210832067A CN115184437B CN 115184437 B CN115184437 B CN 115184437B CN 202210832067 A CN202210832067 A CN 202210832067A CN 115184437 B CN115184437 B CN 115184437B
- Authority
- CN
- China
- Prior art keywords
- module
- risc
- detection
- biological
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 225
- 238000000034 method Methods 0.000 title claims abstract description 39
- 238000012545 processing Methods 0.000 claims abstract description 47
- 230000008569 process Effects 0.000 claims abstract description 12
- 238000012544 monitoring process Methods 0.000 claims description 20
- 230000004044 response Effects 0.000 claims description 13
- 238000004891 communication Methods 0.000 claims description 11
- 238000004590 computer program Methods 0.000 claims description 10
- 230000005059 dormancy Effects 0.000 claims description 6
- 230000000737 periodic effect Effects 0.000 claims description 6
- 239000000126 substance Substances 0.000 claims description 6
- 238000011161 development Methods 0.000 abstract description 5
- 150000002500 ions Chemical class 0.000 description 6
- 238000010586 diagram Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 230000005669 field effect Effects 0.000 description 2
- 230000014509 gene expression Effects 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 229910001410 inorganic ion Inorganic materials 0.000 description 1
- 230000035800 maturation Effects 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 244000005700 microbiome Species 0.000 description 1
- 238000004377 microelectronic Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/26—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating electrochemical variables; by using electrolysis or electrophoresis
- G01N27/403—Cells and electrode assemblies
- G01N27/414—Ion-sensitive or chemical field-effect transistors, i.e. ISFETS or CHEMFETS
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Molecular Biology (AREA)
- Microelectronics & Electronic Packaging (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- Engineering & Computer Science (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analysing Biological Materials (AREA)
Abstract
The invention relates to the technical field of detection, in particular to a biological signal detection system, a biological signal detection method and a biological signal detection medium based on RISC-V. The system comprises: 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 is composed of CPU kernels conforming to the RISC-V instruction set standard and is configured to process received data to generate a processing result; the platform management module is respectively communicated with the biological detection module and the RISC-V kernel module, and is configured to send detection data to the RISC-V kernel module and receive and manage processing results. The scheme of the invention applies RISC-V to ISFET detection data processing, combines the advantages of RISC-V and ISFET sensors, widens the application scene of an ISFET detection system, and better caters to the development of industry.
Description
Technical Field
The invention relates to the technical field of detection, in particular to a biological signal detection system, a biological signal detection method and a biological signal detection medium based on RISC-V.
Background
An ISFET (Ion Sensitive Field Effect Transistor, ISFET), namely an ion sensitive field effect transistor, is a microelectronic ion selective sensitive element, and is manufactured by removing a metal gate of a common MOSFET, modifying a specific ion sensitive film on an insulating layer, contacting the sensitive film with a sample to be detected, and measuring the drain-source current and the concentration of response ions in a linear relation, so that the concentration of the specific ions can be detected. In recent years, ISFETs have been widely used as a branch of biosensors for detecting inorganic ions such as h+, na+, cl-, and the like, as well as for detecting antigen-antibody reactions, microorganisms, and the like, in clinical medicine, industrial control, environmental monitoring, and the like.
At present, no perfect biological signal detection system exists, the analysis and the processing of detection signals of the existing biological signal detection system are not timely, and the power consumption is higher when the detection signals are in a detected state.
Disclosure of Invention
In view of the foregoing, there is a need for providing a RISC-V based biosignal detection system, a RISC-V based biosignal detection method, a computer device, and a computer-readable storage medium.
According to a first aspect of the present invention, there is provided a RISC-V based bio-signal detection system, the method 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;
and 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.
In some embodiments, the system further comprises 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.
In some embodiments, 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;
and 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.
In some embodiments, 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.
In some embodiments, 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.
In some embodiments, the system further comprises a communication module and a remote device, wherein the communication module is respectively connected with the remote device and the platform management module and is used for sending the processing result to the remote device.
In some embodiments, the biological 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.
According to a second aspect of the present invention, there is provided a RISC-V based biosignal detection method employing a RISC-V based biosignal detection system as described above, 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.
According to a third aspect of the present invention, there is also provided a computer device comprising:
at least one processor; and
a memory storing a computer program executable on a processor, the processor executing the program to perform the RISC-V based bio-signal detection method described above, the method comprising the steps of:
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.
According to a fourth aspect of the present invention, there is also provided a computer-readable storage medium storing a computer program which, when executed by a processor, performs the aforementioned RISC-V based bio-signal detection method, the method comprising the steps of:
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.
According to the biological signal detection system based on RISC-V, the biological detection module is used for detecting and generating detection data when being contacted with a sample to be detected, then the platform management module is used for sending the detection data generated by the biological detection module to the RISC-V kernel module for processing so as to generate a processing result, and finally the platform management module is used for receiving and managing the processing result, so that the combination of the RISC-V and the ISFET sensor is realized, the application scene of the ISFET detection system is widened, and the development of industry is better catered.
In addition, the invention also provides a biological signal detection method based on RISC-V, a computer device and a computer readable storage medium, which can also realize the technical effects, and the description is omitted herein.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are necessary for the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention and that other embodiments may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a biological signal detection system based on RISC-V according to one embodiment of the present invention;
FIG. 2 is a schematic diagram of a frame structure of an ISFET sensor according to an embodiment of the present invention;
fig. 3 is a block diagram of an ISFET device provided in accordance with another embodiment of the present invention;
FIG. 4 is a flow chart of a biological signal detection method based on RISC-V according to one embodiment of the present invention;
fig. 5 is an internal structural view of a computer device according to another embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following embodiments of the present invention will be described in further detail with reference to the accompanying drawings.
It should be noted that, in the embodiments of the present invention, all the expressions "first" and "second" are used to distinguish two entities with the same name but different entities or different parameters, and it is noted that the "first" and "second" are only used for convenience of expression, and should not be construed as limiting the embodiments of the present invention, and the following embodiments are not described one by one.
In one embodiment, referring to FIG. 1, the present invention provides a biological signal detection system based on RISC-V, specifically 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; the RISC-V instruction set is an open Instruction Set Architecture (ISA) built based on Reduced Instruction Set Computing (RISC) principles, and is built on the basis of the continued development and maturation of instruction sets. RISC-V is a completely open-source instruction set architecture, has simple design, is compatible with various programming languages, is easy to modularize, has a complete tool chain, and has a large number of open-source implementation and streaming cases.
And 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 biological signal detection system based on RISC-V uses the ISFET array sensor to detect and generate detection data when the biological detection module is contacted with a sample to be detected, then uses the platform management module to send the detection data generated by the biological detection module to the RISC-V kernel module to process so as to generate a processing result, and finally receives and manages the processing result by the platform management module, thereby realizing the combination of RISC-V and ISFET sensor, widening the application scene of the ISFET detection system and better catering to the development of industry
In yet another embodiment, continuing with FIG. 1, the system further comprises 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.
In some embodiments, 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;
and 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.
In some embodiments, 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.
In some embodiments, 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.
According to the biological signal detection system based on RISC-V, the working state of the RISC-V kernel module is controlled through the cooperation of the data monitoring module and the platform management module, so that the power consumption of the detection system is reduced, the data transmission is performed through the communication transmission module and the biological detection module, the data processing speed is improved, the sample detection speed is improved, the time efficiency in biological detection application is ensured, and the requirement of the continuously developed biological detection system is met.
In some embodiments, please continue to refer to fig. 1, in order to further improve flexibility of the system, facilitate management of processing results and detection data, the system further includes a communication module and a remote device, where the communication module is respectively connected to the remote device and the platform management module, and is configured to send the processing results to the remote device.
In some embodiments, referring to fig. 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 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;
referring to fig. 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 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.
In yet another embodiment, as shown in fig. 4, the present invention further provides a biological signal detection method based on RISC-V, using the biological signal detection system based on RISC-V, the method comprising the steps of:
step S1, detecting a sample to be detected contacted with the biological detection module by using an ISFET array sensor 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 a processing result and sends the processing result to the platform management module;
and S4, receiving and managing the processing result by a platform management module.
According to the biological signal detection method based on RISC-V, the biological detection module is used for detecting and generating detection data when being contacted with a sample to be detected, then the platform management module is used for sending the detection data generated by the biological detection module to the RISC-V kernel module for processing so as to generate a processing result, and finally the platform management module is used for receiving and managing the processing result, so that the combination of the RISC-V and the ISFET sensor is realized, the application scene of an ISFET detection system is widened, and the development of industry is well catered.
In some embodiments, the system further comprises 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.
In some embodiments, the method includes performing the following steps with the data monitoring module:
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;
and 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.
In some embodiments, the method further comprises performing the following steps with the data monitoring module:
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.
In some embodiments, the method further comprises performing the following steps with the platform management module:
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.
In some embodiments, the system further comprises a communication module and a remote device, wherein the communication module is respectively connected with the remote device and the platform management module, and is used for sending the processing result to the remote device.
In some embodiments, the biological 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.
According to another aspect of the present invention, there is provided a computer device, which may be a server, and an internal structure thereof is shown in fig. 5. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is for storing data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements the RISC-V based bio-signal detection method described above, in particular the method comprises the steps of:
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.
In some embodiments, the method further comprises analyzing, by a data monitoring module, the detection data to determine a status of the biological detection module, and feeding back the operational status to the platform management module.
In some embodiments, the method includes performing the following steps with the data monitoring module:
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;
and 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.
In some embodiments, the method further comprises performing the following steps with the data monitoring module:
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.
In some embodiments, the method further comprises performing the following steps with the platform management module:
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.
In some embodiments, the method further comprises transmitting the processing result to a remote device using a communication module.
In some embodiments, the method further comprises the biological detection module comprising an ISFET array sensor, a data acquisition card;
driving an ISFET array sensor by a clock signal, and enabling the ISFET array sensor to be in direct contact with a sample to be detected to detect a corresponding signal;
the data acquisition card acquires detection signals transmitted by the sensor;
each of a plurality of pixels constituting the ISFET array unit is in direct contact with a sample to be measured and converts a chemical signal of a sample concentration into an electrical signal to be output;
the signal acquisition circuit acquires the electric signals transmitted by the ISFET array and transmits the electric signals to the data acquisition card;
the pixel units in the ISFET array are sequentially selected by the row selection circuit and the column selection circuit through periodic clock signals for electric signal output.
According to a further aspect of the present invention, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above-described RISC-V based bio-signal detection method, in particular comprising performing the steps of:
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.
In some embodiments, the method further comprises analyzing, by a data monitoring module, the detection data to determine a status of the biological detection module, and feeding back the operational status to the platform management module.
In some embodiments, the method includes performing the following steps with the data monitoring module:
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;
and 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.
In some embodiments, the method further comprises performing the following steps with the data monitoring module:
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.
In some embodiments, the method further comprises performing the following steps with the platform management module:
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.
In some embodiments, the method further comprises transmitting the processing result to a remote device using a communication module.
In some embodiments, the method further comprises the biological detection module comprising an ISFET array sensor, a data acquisition card;
driving an ISFET array sensor by a clock signal, and enabling the ISFET array sensor to be in direct contact with a sample to be detected to detect a corresponding signal;
the data acquisition card acquires detection signals transmitted by the sensor;
each of a plurality of pixels constituting the ISFET array unit is in direct contact with a sample to be measured and converts a chemical signal of a sample concentration into an electrical signal to be output;
the signal acquisition circuit acquires the electric signals transmitted by the ISFET array and transmits the electric signals to the data acquisition card;
the pixel units in the ISFET array are sequentially selected by the row selection circuit and the column selection circuit through periodic clock signals for electric signal output.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210832067.6A CN115184437B (en) | 2022-07-15 | 2022-07-15 | Biological signal detection system, method and medium based on RISC-V |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210832067.6A CN115184437B (en) | 2022-07-15 | 2022-07-15 | Biological signal detection system, method and medium based on RISC-V |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115184437A CN115184437A (en) | 2022-10-14 |
| CN115184437B true CN115184437B (en) | 2024-02-02 |
Family
ID=83518951
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210832067.6A Active CN115184437B (en) | 2022-07-15 | 2022-07-15 | Biological signal detection system, method and medium based on RISC-V |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115184437B (en) |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008133719A2 (en) * | 2006-11-06 | 2008-11-06 | Biowarn Llc | Methodology and apparatus for the detection of biological substances |
| CN101669026A (en) * | 2006-12-14 | 2010-03-10 | 离子流系统有限公司 | Utilize the method and apparatus of large-scale F ET array measurement analyte |
| KR20120125895A (en) * | 2011-05-09 | 2012-11-19 | 한국과학기술연구원 | Automatic measurement system for multi-sensors |
| CN103578256A (en) * | 2013-11-04 | 2014-02-12 | 桂林电子科技大学 | Regional water environment heavy metal monitoring system and operating method |
| CN109212001A (en) * | 2017-06-30 | 2019-01-15 | 中国科学院微电子研究所 | Detection device and method |
| CN110892252A (en) * | 2018-01-08 | 2020-03-17 | 因美纳有限公司 | High throughput sequencing with semiconductor-based detection |
| CN110945625A (en) * | 2017-07-21 | 2020-03-31 | Atonarp株式会社 | Current detection device and spectrometer using same |
| CN111025990A (en) * | 2019-12-25 | 2020-04-17 | 山东浪潮人工智能研究院有限公司 | RISC-V based vehicle-mounted terminal system |
| CN111781265A (en) * | 2020-07-03 | 2020-10-16 | 中国科学院半导体研究所 | Electrochemical sensor for detecting multiple components in solution and preparation method thereof |
| CN111856288A (en) * | 2020-07-21 | 2020-10-30 | 南京英锐创电子科技有限公司 | Sensor chip and working method thereof |
| US11210188B1 (en) * | 2021-05-06 | 2021-12-28 | Raytheon Company | Systems and methods for processor monitoring and recovery |
| CN114002300A (en) * | 2021-10-15 | 2022-02-01 | 华中科技大学 | Circuit detection system based on liquid gate type field effect transistor biosensor |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2477506B (en) * | 2010-02-03 | 2013-10-30 | Dna Electronics Ltd | Integrated electrochemical and optical sensor with inductor |
-
2022
- 2022-07-15 CN CN202210832067.6A patent/CN115184437B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008133719A2 (en) * | 2006-11-06 | 2008-11-06 | Biowarn Llc | Methodology and apparatus for the detection of biological substances |
| CN101669026A (en) * | 2006-12-14 | 2010-03-10 | 离子流系统有限公司 | Utilize the method and apparatus of large-scale F ET array measurement analyte |
| KR20120125895A (en) * | 2011-05-09 | 2012-11-19 | 한국과학기술연구원 | Automatic measurement system for multi-sensors |
| CN103578256A (en) * | 2013-11-04 | 2014-02-12 | 桂林电子科技大学 | Regional water environment heavy metal monitoring system and operating method |
| CN109212001A (en) * | 2017-06-30 | 2019-01-15 | 中国科学院微电子研究所 | Detection device and method |
| CN110945625A (en) * | 2017-07-21 | 2020-03-31 | Atonarp株式会社 | Current detection device and spectrometer using same |
| CN110892252A (en) * | 2018-01-08 | 2020-03-17 | 因美纳有限公司 | High throughput sequencing with semiconductor-based detection |
| CN111025990A (en) * | 2019-12-25 | 2020-04-17 | 山东浪潮人工智能研究院有限公司 | RISC-V based vehicle-mounted terminal system |
| CN111781265A (en) * | 2020-07-03 | 2020-10-16 | 中国科学院半导体研究所 | Electrochemical sensor for detecting multiple components in solution and preparation method thereof |
| CN111856288A (en) * | 2020-07-21 | 2020-10-30 | 南京英锐创电子科技有限公司 | Sensor chip and working method thereof |
| US11210188B1 (en) * | 2021-05-06 | 2021-12-28 | Raytheon Company | Systems and methods for processor monitoring and recovery |
| CN114002300A (en) * | 2021-10-15 | 2022-02-01 | 华中科技大学 | Circuit detection system based on liquid gate type field effect transistor biosensor |
Non-Patent Citations (2)
| Title |
|---|
| 张宁 ; 王春芳 ; .新型pH值和离子浓度测量仪的研制.电子测量技术.2007,(01),36-39. * |
| 新型pH值和离子浓度测量仪的研制;张宁;王春芳;;电子测量技术(01);36-39 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115184437A (en) | 2022-10-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Micali et al. | Bacterial chemotaxis: information processing, thermodynamics, and behavior | |
| EP1376115A3 (en) | Portable multi-functional electrochemical sensor | |
| CN112136039B (en) | Alkalinity measurement of water samples | |
| CN110441486A (en) | Water quality monitoring system and its method | |
| JP2012202989A (en) | Test strip reading and analyzing system and method | |
| Rivera et al. | Data-driven modeling of smartphone-based electrochemiluminescence sensor data using artificial intelligence | |
| US20150260674A1 (en) | Electrochemical analysis and simulation device | |
| CN105784957A (en) | Industrial water quality multi-parameter monitoring system | |
| CN115184437B (en) | Biological signal detection system, method and medium based on RISC-V | |
| Gabrieli et al. | Combining an integrated sensor array with machine learning for the simultaneous quantification of multiple cations in aqueous mixtures | |
| Au et al. | Live demonstration: a mobile diagnostic system for rapid detection and tracking of infectious diseases | |
| Martínez‐Bisbal et al. | A voltammetric electronic tongue for the quantitative analysis of quality parameters in wastewater | |
| US20110056847A1 (en) | Ion concentration measurement system and methods thereof | |
| CN111667457B (en) | Automatic identification method, system, terminal and storage medium for vertebral body information based on medical image | |
| US20230122443A1 (en) | Dynamic wireless information transmission | |
| Haque et al. | Image Processing Based Water Quality Monitoring System for Biofloc Fish Farming | |
| CN104730120A (en) | Sensor arrangement and method for determining orthophosphate content of a liquid | |
| US8543345B1 (en) | Electrochemical potentiostat employing smart electrodes | |
| WO2022140193A1 (en) | Isolating interferences in alkalinity measurement | |
| US20210333231A1 (en) | pH MEASUREMENT OF AN AQUEOUS SAMPLE | |
| CN116917239A (en) | Real-time management of device maintenance | |
| CN113782094A (en) | Modification site prediction method, modification site prediction device, computer device, and storage medium | |
| Somantri et al. | Design of water quality control for shrimp pond using sensor-cloud integration | |
| US11808733B2 (en) | Square wave amperometry alkalinity measurement | |
| Udayakumar et al. | Deep learning-based production assists water quality warning system for reverse osmosis plants |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |