CN113259891B - Bioelectric signal monitoring system and method based on compressed sensing and networking transmission - Google Patents
Bioelectric signal monitoring system and method based on compressed sensing and networking transmission Download PDFInfo
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- CN113259891B CN113259891B CN202110562329.7A CN202110562329A CN113259891B CN 113259891 B CN113259891 B CN 113259891B CN 202110562329 A CN202110562329 A CN 202110562329A CN 113259891 B CN113259891 B CN 113259891B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/06—Optimizing the usage of the radio link, e.g. header compression, information sizing, discarding information
- H04W28/065—Optimizing the usage of the radio link, e.g. header compression, information sizing, discarding information using assembly or disassembly of packets
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
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- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses a bioelectric signal monitoring system and a bioelectric signal monitoring method based on compressed sensing and networking transmission, wherein the system comprises a data acquisition processing module, a radio frequency module and a terminal monitoring module; the data acquisition processing module comprises a plurality of bioelectric signal sensors, a plurality of analog-to-digital conversion modules and a plurality of microprocessors; the radio frequency module comprises a ZigBee coordinator and a plurality of ZigBee child nodes; the terminal monitoring module comprises an upper computer. The multiple microprocessors compress bioelectricity signals by adopting a compressed sensing algorithm; the ZigBee coordinator is in wireless communication with the sub-nodes, the transmission sequence of bioelectric signal data of the ZigBee sub-nodes is selected in the networking, the data of the ZigBee sub-nodes are sequentially received, and the data are transmitted to the upper computer to reconstruct the data; and the ZigBee coordinator and the upper computer are respectively provided with a data verification unit, and the consistency of the data before and after transmission is ensured according to the verification code and the data format.
Description
Technical Field
The invention relates to a bioelectric signal monitoring system based on compressed sensing and networking transmission, and belongs to the field of medical monitoring systems. In particular, the invention also relates to a bioelectric signal monitoring method based on compressed sensing and networking transmission.
Background
Bioelectric signals of a human body mainly comprise electrocardiosignals, electroencephalogram signals, electromyogram signals, gastric signals and the like, and the body surface bioelectric signals are usually picked up by electrodes, amplified by proper bioelectric amplifiers and recorded into electrocardiograms, electroencephalograms, electromyograms, gastric electrograms and the like. With the improvement of medical technology and the deep development of neuroscience, cognitive psychology and artificial intelligence research, bioelectric signals are increasingly applied to the fields of telemedicine, medical monitoring, real-time monitoring, emerging brain-computer interfaces and the like. Aiming at the problems that the current bioelectric signal detection equipment has larger power consumption and low signal transmission efficiency, the low power consumption design and wireless networking transmission become the design direction of the bioelectric signal monitoring system.
Patent CN110572444a discloses a system and a method for transmitting nerve signals, wherein the acquired target limb sensing signals are transmitted by wireless communication; however, the signal transmission speed in the system is too slow, and the simultaneous acquisition and transmission of multiple bioelectric signals cannot be realized, and the selective monitoring of the acquired signals cannot be realized, so that the data transmission of the bioelectric signals is not selective, the transmission efficiency is low, and the system power consumption is too high.
Patent CN109157209a discloses a bioelectric signal processing circuit and method based on compressed sensing, which can set the type of the collected bioelectric signal and perform corresponding processing according to different types of signals to reduce the data transmission amount of the bioelectric signal, but the patent does not disclose networking transmission of the bioelectric signal, so that multipath collection and selective sequential transmission of the bioelectric signal cannot be realized.
Therefore, a bioelectric signal monitoring system still lacks at present, a bioelectric signal processing method based on compressed sensing is combined with an embedded development design, and a new wireless communication technology is adopted for data wireless transmission, so that multipath acquisition and networking transmission of bioelectric signals are realized, and meanwhile, the power consumption of the bioelectric signal detection system is reduced.
Disclosure of Invention
The invention aims to provide a bioelectric signal monitoring system and a bioelectric signal monitoring method based on compressed sensing and networking transmission, which are used for solving the problems that the equipment power consumption of the conventional bioelectric signal monitoring system is high, and the bioelectric signal data acquisition and transmission efficiency of data transmission based on wireless communication is low.
In order to achieve the technical purpose, the invention firstly provides a bioelectric signal monitoring system based on compressed sensing and networking transmission, and a microprocessor can adopt a compressed sensing algorithm to perform compression processing on the collected bioelectric signals so as to reduce the data transmission quantity and realize the low-power consumption design of the bioelectric signal monitoring system; in addition, the invention adopts ZigBee wireless communication technology, and specifically adopts a ZigBee radio frequency module to design a networking transmission mode of data, can collect multiple paths of bioelectric signals at the same time, and selects the transmission sequence of the multiple paths of bioelectric signals for transmission in sequence, so as to improve the data collection and transmission efficiency and further reduce the power consumption of a bioelectric signal monitoring system.
The bioelectric signal monitoring system comprises a data acquisition processing module, a radio frequency module and a terminal monitoring module; the data acquisition processing module comprises a plurality of bioelectric signal sensors, a plurality of analog-to-digital conversion modules (ADC) and a plurality of microprocessors; the radio frequency module comprises a ZigBee coordinator and a plurality of ZigBee child nodes; the terminal monitoring module comprises an upper computer.
According to the bioelectric signal monitoring system, the bioelectric signal sensors are used for collecting multiple paths of bioelectric signals, the analog-to-digital conversion modules (ADC) are used for carrying out analog-to-digital conversion on the bioelectric signals collected by the bioelectric signal sensors, and the microprocessors are used for compressing the bioelectric signal data after the analog-to-digital conversion.
According to the bioelectric signal monitoring system, the number of the bioelectric signal sensors is the same as that of the analog-to-digital conversion modules (ADC) and the microprocessors, and each bioelectric signal sensor is correspondingly connected with one analog-to-digital conversion module (ADC) and one microprocessor; specifically, the output end of each bioelectric signal sensor is connected to the input end of an analog-to-digital conversion module (ADC), the collected bioelectric signals are transmitted to the analog-to-digital conversion module (ADC), the output end of the analog-to-digital conversion module (ADC) is connected with the input end of a microprocessor, and the bioelectric signal data after analog-to-digital conversion are transmitted to the microprocessor.
According to the bioelectric signal monitoring system, the radio frequency module comprises a ZigBee coordinator and a plurality of ZigBee child nodes, wherein wireless transmission is adopted between the plurality of ZigBee child nodes and the ZigBee coordinator; the number of the ZigBee child nodes is the same as the number of the bioelectric signal sensors; the ZigBee coordinator is connected with the upper computer through a serial port.
According to the bioelectric signal monitoring system, the plurality of microprocessors are respectively connected with the plurality of ZigBee child nodes, the plurality of ZigBee child nodes respectively carry out wireless transmission on bioelectric signal data processed by the plurality of microprocessors, the bioelectric signal data are transmitted to the ZigBee coordinator, and the ZigBee coordinator transmits the data to the upper computer.
According to the bioelectric signal monitoring system, a plurality of bioelectric signal sensors can be fixed on a part to be detected of a person to be detected, and multiple bioelectric signals are collected at the same time; and transmitting the bioelectrical signals to a plurality of microprocessors after analog-to-digital conversion by a plurality of analog-to-digital conversion modules (ADCs); the microprocessors respectively compress the received bioelectric signal data by adopting a compressed sensing algorithm.
According to the bioelectric signal monitoring system, optionally, the plurality of ZigBee child nodes respectively perform wireless transmission on the bioelectric signal data after data compression in the plurality of microprocessors, wherein each ZigBee child node transmits the bioelectric signal data in the microprocessor connected with the ZigBee child node.
According to the bioelectric signal monitoring system, optionally, the ZigBee coordinator and the upper computer are respectively provided with a data verification unit. The ZigBee coordinator selects the transmission sequence of the multipath bioelectric signal data transmitted by the ZigBee child nodes, sequentially receives the bioelectric signal data of the ZigBee child nodes, adds a check code to the received data by the data check unit after receiving the data transmitted by one ZigBee child node, packages the check code and the received data, and transmits the packaged check code and the received data to the upper computer; after the upper computer receives the packed data, the data verification unit is utilized to analyze the received data, and the data format is compared according to the verification code, so that the consistency of the data before and after transmission is ensured.
According to the bioelectric signal monitoring system of the present invention, each microprocessor is optionally capable of setting a best-matching data compression ratio according to different signal types (such as electrocardio, electroencephalogram, myoelectricity, gastric electricity, etc.) of the bioelectric signal, and performing compression processing on the bioelectric signal data of the type.
According to the bioelectric signal monitoring system, optionally, a plurality of analog-to-digital conversion modules (ADC), a plurality of microprocessors and a plurality of ZigBee child nodes can be respectively integrated in a plurality of embedded development boards; wherein the number of the plurality of embedded development boards is greater than the number of the plurality of bioelectric signal sensors.
According to the bioelectric signal monitoring system of the present invention, optionally, the interconnected analog-to-digital conversion module (ADC), microprocessor and ZigBee child node are integrated in one of a plurality of embedded development boards, and the embedded development board is correspondingly connected to one of a plurality of bioelectric signal sensors for transmitting bioelectric signal data of the bioelectric signal sensor.
According to the bioelectric signal monitoring system of the present invention, optionally, each of the plurality of embedded development boards connected to the plurality of bioelectric signal sensors further includes a Timer module (Timer) that generates an interrupt at intervals, that is, generates a data conversion period, and an analog-to-digital conversion module (ADC) performs analog-to-digital conversion on bioelectric signal data acquired before each interrupt, that is, bioelectric signal data in one data conversion period, transmits the converted bioelectric signal data to a microprocessor, performs data compression processing by the microprocessor, and wirelessly transmits the compressed data to a ZigBee coordinator via ZigBee sub-nodes.
According to the bioelectric signal monitoring system of the present invention, optionally, the ZigBee coordinator is integrated in one of a plurality of embedded development boards, and the embedded development board further includes a microcontroller and a universal asynchronous receiver/transmitter (UART).
According to the bioelectric signal monitoring system, optionally, the ZigBee coordinator selects the transmission sequence of the multipath bioelectric signal data respectively transmitted by the plurality of ZigBee child nodes through the microcontroller; and sequentially transmitting bioelectric signal data of the ZigBee child nodes to an upper computer through a Universal Asynchronous Receiver Transmitter (UART).
According to the bioelectric signal monitoring system, the monitoring program of the upper computer reconstructs and displays the received bioelectric signal data; the reconstruction algorithm for reconstructing the data by the upper computer is a block sparse Bayesian algorithm.
According to the bioelectric signal monitoring system of the present invention, optionally, the number of the plurality of bioelectric signal sensors, the plurality of analog-to-digital conversion modules (ADCs), and the plurality of microprocessors can be set according to the actual needs of the bioelectric signal to be detected; and, the number of the plurality of embedded development boards for integrating the analog-to-digital conversion module (ADC), the plurality of microprocessors and the ZigBee child nodes can be increased accordingly according to the number of the bio-electrical signal sensors, the analog-to-digital conversion module (ADC), the microprocessors and the ZigBee child nodes.
According to the bioelectric signal monitoring system, the bioelectric signal sensors can be selected from a plurality of bioelectric signal sensors, a plurality of electroencephalogram signal sensors, a plurality of electromyographic signal sensors and the like and combinations thereof according to the actual requirements of a monitored person.
According to the bioelectric signal monitoring system of the invention, optionally, each analog-to-digital conversion module (ADC) adopts an input mode matched with a bioelectric signal sensor connected with the analog-to-digital conversion module (ADC). For example, when the bioelectric signal sensor adopts a single-ended output working mode, a corresponding analog-to-digital conversion module (ADC) adopts an input mode matched with the bioelectric signal sensor.
The invention also provides a bioelectric signal monitoring method of the bioelectric signal monitoring system based on compressed sensing and networking transmission, which comprises the following steps:
step one: fixing a plurality of bioelectric signal sensors on a detection part of a person to be detected, acquiring bioelectric signals, and respectively transmitting the acquired multipath bioelectric signals to corresponding analog-to-digital conversion modules (ADC);
step two: an analog-to-digital conversion module (ADC) selects the resolution ratio matched with the bioelectric signal sensor, carries out analog-to-digital conversion on the bioelectric signal in the period according to the data conversion period generated by a Timer, and transmits the converted bioelectric signal data to a microprocessor;
step three: the microprocessor processes the received bioelectric signal data, adopts a compressed sensing algorithm to compress the data, stores the compressed bioelectric signal data into a register of a storage unit of the microprocessor after the data is compressed, and sequentially transmits the compressed bioelectric signal data in the register to the ZigBee node during the next data conversion period;
step four: the ZigBee coordinator selects the transmission sequence of the bioelectric signals of the ZigBee node, sequentially receives the bioelectric signals of the ZigBee node, adds a check code to the received bioelectric signal data, and packages and transmits the data and the check code to the upper computer;
step five: the upper computer utilizes the data check code to compare the received data, ensures the consistency of data transmission, utilizes the monitoring program to reconstruct the data by utilizing the reconstruction algorithm and displays the monitoring result.
According to the bioelectric signal monitoring method of the present invention, the method can be optionally applied to monitoring of various bioelectric signals such as an electrocardiographic signal, an electroencephalogram signal, an electromyographic signal, and a gastric electric signal.
The beneficial effects of the invention are as follows:
according to the bioelectric signal monitoring system and the bioelectric signal monitoring method, the microprocessor compresses the collected bioelectric signals by adopting a compressed sensing algorithm, so that the data transmission quantity is reduced, the dependence of the system on the storage space, the data quantity and the channel bandwidth is greatly reduced, and the low-power consumption design of the bioelectric signal monitoring system is realized. Furthermore, according to the bioelectric signal monitoring system, the ZigBee radio frequency module is adopted to design a networking transmission mode of data, multiple paths of bioelectric signals can be collected at the same time, and the transmission sequence of the multiple paths of bioelectric signals is selected, so that the transmission is sequentially carried out, the data collection and transmission efficiency is improved, and the power consumption of the bioelectric signal monitoring system is reduced.
According to the bioelectric signal monitoring system and the bioelectric signal monitoring method, the bioelectric signal sensors can be selected according to the actual requirements of a monitored person, and various bioelectric signal sensors such as the bioelectric signal sensors, the electroencephalogram signal sensors, the electromyographic signal sensors and the like and combinations thereof can monitor different bioelectric signals of the same person to be detected and different bioelectric signals of the same type or different types of bioelectric signals of different persons to be detected.
According to the bioelectric signal monitoring system and the bioelectric signal monitoring method, the ZigBee coordinator and the upper computer are both provided with the data verification unit for verifying the received data: after receiving the data transmitted by the ZigBee node, the ZigBee coordinator adds a check code to the data, packages the data and transmits the data to the upper computer, and after receiving the data, the upper computer analyzes the data and compares the data format with the data format, thereby ensuring the consistency of the data before and after data transmission and further improving the accuracy of data reconstruction.
Furthermore, according to the bioelectric signal monitoring system and the bioelectric signal monitoring method, the embedded system design of the intelligent terminal upper computer and the microprocessor is comprehensively applied, the observation and monitoring of a patient on a fixed occasion are not needed, and the degree of freedom of a person to be monitored is increased. Moreover, based on the ZigBee wireless communication technology and the embedded development system design, the bioelectric signal monitoring system also has the advantages of small volume, low cost, good portability and the like.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a block diagram of the overall structure of a bioelectric signal monitoring system based on compressed sensing and networking transmission according to the present invention.
Fig. 2 is a schematic diagram of a bioelectric signal monitoring system according to an embodiment of the invention.
Fig. 3 is a flow chart of a bioelectric signal monitoring method according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the embodiments of the present invention will be described in further detail with reference to the accompanying drawings.
Embodiment one:
the embodiment provides a bioelectric signal monitoring system based on compressed sensing and networking transmission, and as shown in fig. 1-2, the bioelectric signal monitoring system according to the invention comprises a data acquisition processing module, a radio frequency module and a terminal monitoring module.
According to the present embodiment, specifically, the data acquisition processing module includes a plurality of bioelectric signal sensors, a plurality of analog-to-digital conversion modules (ADCs), and a plurality of microprocessors; the radio frequency module comprises a ZigBee coordinator and a plurality of ZigBee child nodes; the terminal monitoring module comprises an upper computer.
According to this embodiment, the plurality of bioelectric signal sensors are used for collecting multiple bioelectric signals, the plurality of analog-to-digital conversion modules (ADCs) are used for performing analog-to-digital conversion on the bioelectric signals collected by the plurality of bioelectric signal sensors, and the plurality of microprocessors are used for performing compression processing on the bioelectric signal data after the analog-to-digital conversion.
According to the present embodiment, as shown in fig. 2, the number of the plurality of bioelectrical signal sensors is the same as the number of the plurality of analog-to-digital conversion modules (ADCs) and the plurality of microprocessors; each bioelectric signal sensor is correspondingly connected with an analog-to-digital conversion module (ADC) and a microprocessor; specifically: the output end of each bioelectric signal sensor is connected to the input end of an analog-to-digital conversion module (ADC), the collected bioelectric signals are transmitted to the analog-to-digital conversion module (ADC), and the output end of the analog-to-digital conversion module (ADC) is connected with the input end of a microprocessor, and the bioelectric signal data after analog-to-digital conversion are transmitted to the microprocessor.
According to the embodiment, the radio frequency module comprises a ZigBee coordinator and a plurality of ZigBee child nodes, wherein wireless transmission is adopted between the plurality of ZigBee child nodes and the ZigBee coordinator; and, the number of the plurality of ZigBee child nodes is the same as the number of the plurality of bioelectric signal sensors, as shown in fig. 2; the ZigBee coordinator is connected with the upper computer through a serial port.
According to the embodiment, the plurality of microprocessors are respectively connected with the plurality of ZigBee nodes, the plurality of ZigBee nodes respectively perform wireless transmission on bioelectric signal data processed by the plurality of microprocessors, the bioelectric signal data are transmitted to the ZigBee coordinator, and the ZigBee coordinator transmits the data to the upper computer.
The bioelectric signal sensors can be fixed on the part to be detected of the person to be detected, and meanwhile, multiple bioelectric signals are collected; and transmitting the bioelectrical signals to a plurality of microprocessors after analog-to-digital conversion by a plurality of analog-to-digital conversion modules (ADCs); the microprocessors respectively compress the received bioelectric signal data by adopting a compressed sensing algorithm.
According to the embodiment, the plurality of ZigBee child nodes wirelessly transmit bioelectrical signal data after data compression in the plurality of microprocessors, respectively, where each ZigBee child node transmits bioelectrical signal data in a microprocessor connected to the ZigBee child node.
According to the embodiment, the ZigBee coordinator selects the transmission sequence of the bioelectric signal data of the plurality of ZigBee child nodes and sequentially receives the bioelectric signal data of the plurality of ZigBee child nodes; the ZigBee coordinator and the upper computer are respectively provided with a data verification unit, after the ZigBee coordinator receives data transmitted by one ZigBee child node, the data verification unit adds a verification code to the received data, packages the verification code and the received data, and transmits the verification code and the received data to the upper computer together; after the upper computer receives the packed data, the data verification unit is utilized to analyze the received data, and the data format is compared according to the verification code, so that the consistency of the data before and after transmission is ensured.
According to the present embodiment, each microprocessor can set the best-matched data compression ratio according to different signal types (i.e., electrocardio, electroencephalogram, myoelectricity, gastric electricity, etc.) of bioelectric signals, and perform compression processing on bioelectric signal data of the type.
According to the embodiment, a plurality of analog-to-digital conversion modules (ADCs), a plurality of microprocessors and a plurality of ZigBee child nodes can be integrated in a plurality of embedded development boards, respectively; wherein the number of the plurality of embedded development boards is greater than the number of the plurality of bioelectric signal sensors.
According to the present embodiment, an analog-to-digital conversion module (ADC), a microprocessor, and a ZigBee child node, which are connected to each other, are integrated in one of a plurality of embedded development boards, and the embedded development board is correspondingly connected to one of a plurality of bioelectric signal sensors for transmitting bioelectric signal data of the bioelectric signal sensors.
According to this embodiment, each of the plurality of embedded development boards connected to the biosensor further includes a Timer module (Timer), the Timer module generates an interrupt at intervals, that is, generates a data conversion period, and the analog-to-digital conversion module (ADC) performs analog-to-digital conversion on bioelectric signal data acquired before each interrupt, that is, data in one data conversion period, transmits the converted data to the microprocessor, performs data compression processing by the microprocessor, and wirelessly transmits the compressed data to the ZigBee coordinator via the ZigBee child node.
According to the present embodiment, the ZigBee coordinator is integrated in one of a plurality of embedded development boards, and the embedded development board further includes a microcontroller and a Universal Asynchronous Receiver Transmitter (UART).
According to the embodiment, the ZigBee coordinator selects the transmission sequence of the multipath bioelectric signal data respectively transmitted by a plurality of ZigBee child nodes through the microcontroller; and sequentially transmitting bioelectric signal data of a plurality of ZigBee child nodes to an upper computer through a universal asynchronous receiver/transmitter (UART).
According to the embodiment, the monitoring program of the upper computer reconstructs and displays the received bioelectric signal data; wherein the reconstruction algorithm is a block sparse Bayesian algorithm.
According to the embodiment, the plurality of bioelectric signal sensors can be selected from various types of bioelectric signal sensors such as a plurality of bioelectric signal sensors, a plurality of electroencephalogram signal sensors, a plurality of electromyographic signal sensors and the like, and combinations thereof according to the actual needs of the monitor. Thus, the bioelectric signal detection system of the invention can monitor different bioelectric signals of the same person to be detected and the same type of bioelectric signals or different types of bioelectric signals of a plurality of different persons to be detected.
Optionally, each analog-to-digital conversion module (ADC) of the plurality of analog-to-digital conversion modules (ADCs) adopts an input mode matched with the bioelectric signal sensor connected with the ADC.
According to this embodiment, the monitoring system of the present invention can employ, for example, an 80C51 core for a plurality of microprocessors.
According to the present embodiment, in the monitoring system of the present invention, a plurality of bio-signal sensors can be employed, for example, a plurality of electrocardiographic signal sensors; the plurality of electrocardiographic signal sensors can be fixed to the arm or the abdomen of the person to be detected, for example, by a patch type fixation; when the plurality of electrocardiosignal sensors adopt a single-ended input mode, the corresponding analog-to-digital conversion modules (ADC) adopt an input mode matched with the single-ended input mode.
According to the embodiment, an analog-to-digital conversion module (ADC) is used for performing analog-to-digital conversion on an analog signal acquired by a bioelectric signal sensor, where a sampling frequency of the analog-to-digital conversion module (ADC) is set to 500Hz, and a sampling time interval is 2ms; the microprocessor compresses the data through a compressed sensing algorithm, and the most suitable data compression ratio can be set according to different signal types (such as electrocardio, electroencephalogram, myoelectricity, gastric electricity and the like); the ZigBee node receives data of the multipath electrocardiosignals acquired by each bioelectric signal sensor at the same time and wirelessly transmits the data in a networking mode;
according to this embodiment, each of the interconnected analog-to-digital conversion modules (ADCs), microprocessor and ZigBee child nodes are integrated in an embedded development board; the embedded development board also comprises a Timer module (Timer), wherein the Timer module generates an interrupt at intervals, and the analog-to-digital conversion module (ADC) performs analog-to-digital conversion on bioelectric signal data acquired before the interrupt, namely in a data conversion period, and in the example, the Timer generates an interrupt every 2ms, namely the data conversion period is 2ms.
According to the present embodiment, the ZigBee coordinator is integrated in one of a plurality of embedded development boards, and the embedded development board further includes a microcontroller and a Universal Asynchronous Receiver Transmitter (UART).
According to the embodiment, the ZigBee coordinator selects the transmission sequence of the multipath bioelectric signal data respectively transmitted by a plurality of ZigBee child nodes through the microcontroller; and sequentially transmitting bioelectric signal data of the ZigBee child nodes to an upper computer through a Universal Asynchronous Receiver Transmitter (UART).
According to the embodiment, the monitoring program of the upper computer adopts a block sparse Bayesian algorithm to reconstruct and display bioelectric signal data.
Fig. 3 is a partial algorithm flow of the bioelectric signal monitoring method according to the present embodiment. As shown in fig. 3, the present embodiment provides a bioelectric signal monitoring method of a bioelectric signal monitoring system based on compressed sensing and networking transmission, and the method specifically includes the following steps:
step one: fixing a plurality of bioelectric signal sensors, such as a plurality of electrocardiographic signal sensors, at positions to be detected of a plurality of testers, for acquiring bioelectric signals, and transmitting the acquired multipath bioelectric signals to corresponding analog-to-digital conversion modules (ADC);
step two: an analog-to-digital conversion module (ADC) performs an analog-to-digital conversion on the received bioelectric signal: an analog-to-digital conversion module (ADC) selects proper resolution, and converts data every 2ms according to a data conversion period set by a Timer (Timer); transmitting the converted bioelectric signal data to a corresponding microprocessor;
step three: the microprocessor compresses the received data by adopting a compressed sensing algorithm, and the compression process is as follows:
wherein, the measurement matrix is phi, the received data is matrix X, and the compression unit is Y;
and, wherein, the columns of the measurement matrix are accumulated in the compression unit after matrix multiplication operation is performed on the received data. Further, after the data compression is completed, the compressed data is stored in a register of a storage unit of the microprocessor; in the next data conversion period, the microprocessor compresses data and simultaneously the storage unit transmits the compressed data to the ZigBee child node;
step four: the ZigBee coordinator is in wireless communication with the sub-nodes, the transmission sequence of the bioelectric signal data of the ZigBee sub-nodes is selected in the networking, the bioelectric signal data of the ZigBee sub-nodes are sequentially received, the received bioelectric signal data are added with check codes, the data and the check codes are packaged, and the data are transmitted to the upper computer through a universal asynchronous receiver/transmitter (UART);
step five: the upper computer compares the received data by using the data check code to ensure the consistency of data transmission, and reconstructs and displays the data by using a reconstruction algorithm by using a monitoring program.
In this embodiment, the bioelectric signal monitoring method according to the present invention can be applied to monitoring of various bioelectric signals such as an electrocardiosignal, an electroencephalogram, an electromyographic signal, and a gastric electric signal.
In this embodiment, the bioelectric signal monitoring method based on compressed sensing and networking transmission bioelectric signal monitoring system can employ the bioelectric signal monitoring system as detailed in embodiment 1. Further, according to the bioelectric signal monitoring method of the present embodiment, the same technical effects as those of the bioelectric signal monitoring system of the present invention can be achieved.
According to the embodiment, the microprocessor compresses the collected bioelectric signals by adopting a compressed sensing algorithm, so that the data transmission quantity is reduced, and the low-power consumption design of the bioelectric signal monitoring system is realized. Further, according to the embodiment, the ZigBee wireless communication technology is adopted, and the ZigBee radio frequency module is specifically adopted to design a networking transmission mode of data, so that multiple paths of bioelectric signals can be collected simultaneously and selectively and sequentially transmitted, the data collection and transmission efficiency is improved, and the power consumption of a bioelectric signal monitoring system is reduced.
According to the embodiment, the ZigBee coordinator and the upper computer are both provided with a data verification unit for verifying the received data: and after receiving the data transmitted by the ZigBee child node, the ZigBee coordinator adds a check code to the data, packages the check code and the data and transmits the data to the upper computer, and after receiving the data, the upper computer analyzes the data, compares the data format with the data format, and ensures the consistency of the data before and after the data transmission, thereby improving the accuracy of data reconstruction.
Furthermore, according to the embodiment, the bioelectric signal monitoring system disclosed by the invention comprehensively applies the embedded system design of the intelligent terminal upper computer and the microprocessor, so that a patient does not need to observe and monitor in a fixed occasion, and the degree of freedom of a person to be monitored is increased; moreover, based on the ZigBee wireless communication technology and the embedded development system design, the bioelectric signal monitoring system also has the advantages of small volume, low cost, good portability and the like.
The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the invention are intended to be included within the scope of the invention.
Claims (6)
1. Bioelectric signal monitoring system based on compressed sensing and networking transmission, characterized in that the monitoring system comprises: the system comprises a data acquisition processing module, a radio frequency module and a terminal monitoring module;
the data acquisition processing module comprises a plurality of bioelectric signal sensors, a plurality of analog-to-digital conversion modules and a plurality of microprocessors; the multiple bioelectric signal sensors are used for collecting multiple paths of bioelectric signals, the multiple analog-to-digital conversion modules are used for carrying out analog-to-digital conversion on the bioelectric signals collected by the multiple bioelectric signal sensors, and the multiple microprocessors are used for carrying out compression processing on the bioelectric signal data after the analog-to-digital conversion;
the number of the bioelectric signal sensors is the same as that of the analog-to-digital conversion modules and the microprocessors, and each bioelectric signal sensor is correspondingly connected with one analog-to-digital conversion module and one microprocessor; specifically, in the plurality of bioelectric signal sensors, the output end of each bioelectric signal sensor is connected to the input end of an analog-to-digital conversion module, the collected bioelectric signals are transmitted to the analog-to-digital conversion module, the output end of the analog-to-digital conversion module is connected with the input end of a microprocessor, and the bioelectric signal data after analog-to-digital conversion are transmitted to the microprocessor;
the radio frequency module comprises a ZigBee coordinator and a plurality of ZigBee child nodes, and wireless transmission is adopted between the ZigBee child nodes and the ZigBee coordinator; the number of the ZigBee child nodes is the same as the number of the bioelectric signal sensors;
the terminal monitoring module comprises an upper computer, and the ZigBee coordinator is connected with the upper computer through a serial port;
the ZigBee nodes are respectively connected with the ZigBee coordinator and are used for wirelessly transmitting bioelectric signal data processed by the microprocessors and transmitting the bioelectric signal data to the ZigBee coordinator;
each analog-to-digital conversion module adopts an input mode matched with a bioelectric signal sensor connected with the analog-to-digital conversion module;
wherein:
the microprocessors respectively compress the received bioelectric signal data through a compressed sensing algorithm, and set corresponding data compression ratios according to the types of bioelectric signals;
the plurality of ZigBee child nodes respectively carry out wireless transmission on bioelectrical signal data after data compression in the plurality of microprocessors, wherein each ZigBee child node transmits bioelectrical signal data in the microprocessor connected with the ZigBee child node;
wherein:
the ZigBee coordinator and the upper computer are respectively provided with a data verification unit, the ZigBee coordinator selects the transmission sequence of the bioelectric signals of the ZigBee child nodes, sequentially receives the bioelectric signals of the ZigBee child nodes, adds a verification code to the received bioelectric signal data by the data verification unit, packages the verification code and the received data and transmits the packaged verification code and the received data to the upper computer;
after the upper computer receives the packed data, the data verification unit is utilized to analyze the received data, and the data format is compared according to the verification code, so that the consistency of the data before and after transmission is ensured;
wherein:
the analog-digital conversion modules, the microprocessors and the ZigBee child nodes are respectively integrated in a plurality of embedded development boards, wherein the number of the embedded development boards is larger than that of the bioelectric signal sensors.
2. The monitoring system of claim 1, wherein:
the analog-digital conversion module, the microprocessor and the ZigBee child node which are connected with each other are integrated in one embedded development board in the plurality of embedded development boards, and the embedded development board is correspondingly connected to one of the plurality of bioelectric signal sensors and is used for transmitting bioelectric signal data of the bioelectric signal sensors; and is also provided with
Each of the plurality of embedded development boards is connected with the plurality of bioelectric signal sensors and further comprises a timer module.
3. The monitoring system of claim 1, wherein:
in each embedded development board connected with the bioelectric signal sensors, the timer module generates an interrupt at intervals, namely a data conversion period, the analog-to-digital conversion module carries out analog-to-digital conversion on the bioelectric signal acquired before each interrupt, namely the bioelectric signal in the data conversion period, the converted data are transmitted to the microprocessor, the microprocessor carries out data compression processing, and the ZigBee child node wirelessly transmits the compressed bioelectric signal data to the ZigBee coordinator.
4. The monitoring system of claim 1, wherein:
the ZigBee coordinator is integrated in one embedded development board in the plurality of embedded development boards, and the embedded development board further comprises a microcontroller and a universal asynchronous transceiver;
the ZigBee coordinator selects the transmission sequence of bioelectric signal data respectively transmitted by the plurality of ZigBee child nodes through the microcontroller; and sequentially transmitting bioelectric signal data of the ZigBee child nodes to an upper computer through a universal asynchronous transceiver.
5. A monitoring system according to any one of claims 1 or 3, wherein:
and the monitoring program of the upper computer is used for reconstructing and displaying the received bioelectric signal data, and the reconstruction algorithm of the upper computer for reconstructing the data is a block sparse Bayesian algorithm.
6. A method for monitoring bioelectrical signals, wherein the method uses the bioelectrical signal monitoring system based on compressed sensing and networking transmission as claimed in claims 1 to 5, the method comprising:
step one: fixing a plurality of bioelectric signal sensors on the detection part of a person to be detected, collecting bioelectric signals, and respectively transmitting the collected multipath bioelectric signals to corresponding analog-to-digital conversion modules;
step two: the analog-to-digital conversion module is configured to have a resolution matching with the bioelectric signal sensor, perform analog-to-digital conversion on the bioelectric signal received in a data conversion period generated by the Timer according to the period, and transmit the converted bioelectric signal data to a corresponding microprocessor;
step three: the microprocessor processes the received bioelectric signal data, adopts a compressed sensing algorithm to compress the data, stores the compressed bioelectric signal data into a register of a storage unit of the microprocessor after the data is compressed, and transmits the compressed bioelectric signal data in the register to the ZigBee child node during the next data conversion period;
step four: the ZigBee coordinator selects the transmission sequence of the bioelectric signals of the ZigBee node, sequentially receives the bioelectric signals of the ZigBee node, adds a check code to the received bioelectric signal data, and packages and transmits the data and the check code to the upper computer;
step five: and the upper computer compares the received data by using the data check code to ensure the consistency of data transmission, and reconstructs the data by using a reconstruction algorithm by using a monitoring program and displays the monitoring result.
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