A detection device based on biomedical electrical impedance imaging technology and its health risk assessment system

Abstract

The present invention provides a detection device based on biomedical electrical impedance imaging technology, comprising: a plurality of electrodes and a data acquisition cabin; a data acquisition circuit board is arranged in the data acquisition cabin, and an analog signal input circuit, an analog-to-digital conversion chip and a digital signal output circuit are arranged on the digital acquisition circuit board; the analog signal input circuit is provided with a multi-way conversion switch, an amplifier, a synchronous demodulator and a plurality of analog signal input lines in sequence; the read signal input pin and the chip select signal input pin of the analog-to-digital conversion chip are connected to an active crystal oscillator; and the digital signal output circuit is provided with a plurality of parallel data transmission lines. The present invention also provides a health risk assessment system based on the detection device. The health risk assessment system of the present invention has the advantages of faster and more accurate data acquisition and conversion, and more stable data acquisition and conversion, so that the assessment result is also more accurate.

Description

Technical Field

[0001] The present invention belongs to the field of medical devices, and in particular relates to a health risk assessment system based on biomedical electrical impedance imaging technology. Background Art

[0002] Biomedical electrical impedance tomography (EIT) utilizes the difference in impedance between different tissues and organs of the human body or the same tissue and organ under normal and pathological conditions. It applies a safe excitation current or voltage to the surface of the human body and measures the surface voltage or current signal at the same time to obtain the distribution of the internal electrical characteristic parameters of the human body, and then reconstructs an image reflecting the internal structure of the object, so as to intuitively see the real-time health status of tissues and organs throughout the body and diagnose and prevent diseases earlier.

[0003] The existing various detection equipment based on EIT technology still has limitations such as the accuracy of the detection results is not stable enough and the detection speed is slow. In addition, the existing data acquisition controller completes the data acquisition on site in the data collector or data acquisition warehouse, and then processes the data on site, and then presents the results or uploads them to the data center. In this way, if the amount of on-site data is large, the amount of calculations to be processed is large, and the processing process is complicated, a single-chip microcomputer with strong processing power must be used, and an external DSP (digital signal processor) must be used when necessary. This not only wastes costs, but also consumes a lot of calculation processing time, which is not conducive to widespread promotion and application. Therefore, it is necessary to make further improvements to the existing detection equipment based on EIT technology to improve its detection precision, accuracy, stability and efficiency. Summary of the invention

[0004] The purpose of the present invention is to provide a detection device based on biomedical electrical impedance imaging technology, which has a higher detection rate and the detection results also have higher accuracy and stability.

[0005] The above-mentioned object of the present invention is achieved by the following technical solutions:

[0006] Provided is a detection device based on biomedical electrical impedance imaging technology, comprising:

[0007] A plurality of electrodes, used for attaching to the body surface and applying a safe excitation current to the body;

[0008] A data acquisition cabin, used for acquiring detection data from the electrodes;

[0009] Wherein, a data acquisition circuit board is arranged in the data acquisition chamber, and an analog signal input circuit, an analog-to-digital conversion chip and a digital signal output circuit are arranged on the data acquisition circuit board; the analog signal input circuit is provided with a multi-way conversion switch, an amplifier, a synchronous demodulator and several analog signal input lines in sequence; the read signal input pin and the chip select signal input pin of the analog-to-digital conversion chip are connected to an active crystal oscillator; the digital signal output circuit is provided with several parallel data transmission lines;

[0010] The analog signal input circuit is connected to the plurality of electrodes through an interface, collects signals from the plurality of electrodes, amplifies them through the amplifier and demodulates them through the synchronous demodulator, and then inputs them into an analog-to-digital conversion chip through a plurality of analog signal input lines; the analog-to-digital conversion chip reads and converts data in cooperation with an active crystal oscillator; and the converted digital signals are output to a PC through a plurality of parallel data transmission lines.

[0011] In a preferred embodiment of the present invention, the plurality of electrodes include 6 electrodes, which are respectively used for the distal ends of the limbs and the forehead.

[0012] In a preferred solution of the present invention, the digital signal output circuit is provided with 8 parallel data transmission lines.

[0013] On this basis, the present invention further provides a health risk assessment system based on biomedical electrical impedance imaging technology, which is composed of the detection equipment based on biomedical electrical impedance imaging technology described in the present invention, a PC host, a network server and a receiving terminal connected in sequence; the PC host has built-in analysis and evaluation software, uses an image reconstruction algorithm to obtain the electrical impedance in the corresponding tissue, integrates the electrical impedance of each tissue, and establishes a 3D image of the electrical impedance distribution in the entire human tissue; the PC host is connected to the network server via a wired or wireless method, and its analysis results are uploaded to the big data center, which is further pushed to the receiving terminal by the big data center.

[0014] In the preferred health risk assessment system of the present invention, the receiving terminal can be a mobile terminal (such as a smart phone, smart watch or tablet computer, etc.) equipped with corresponding application software, or it can be other hardware terminals with built-in health risk-related big data.

[0015] The detection equipment of the present invention adopts the analog signal input circuit to complete high-speed signal acquisition, and makes the electrical impedance signal more accurate after amplification, demodulation and other processing, and then converts the electrical impedance signal into a digital signal through the analog-to-digital conversion chip, and sends it directly to the PC end in the form of a digital signal through the digital signal output circuit, so that the data can be transmitted to the computer more stably, accurately and quickly, and the powerful computing and processing capabilities of the PC are utilized to process a large amount of data in a timely manner. Therefore, the detection equipment and health risk assessment system of the present invention have many advantages such as fast computing speed, strong processing power and high precision, and also save a lot of hardware costs and a large amount of underlying workload, making up for the shortcomings of existing similar products. The entire system not only meets the intelligent data acquisition system, but also meets the entire network system structure of the current Internet of Things big data.

[0016] In practical applications, the electrodes in the health risk assessment system of the present invention are respectively fixed on the left hand, right hand, left foot, right foot, left forehead and right forehead of the human body, and it is ensured that each electrode can effectively contact the limbs; then the power supply of the data acquisition cabin is started, and a safe excitation current of different frequencies is applied between different electrodes using a multi-way conversion switch, and the voltage change on the surface of the corresponding tissue (equivalent to the change in electrical impedance) is measured at the same time. After the signal is amplified by the amplifier, it is sent to the synchronous demodulator, then to the analog-to-digital converter, and finally transmitted to the computer for analysis and calculation, and the electrical impedance in the corresponding tissue is obtained by using an image reconstruction algorithm. The electrical impedance of each tissue is integrated to establish a 3D image of the electrical impedance distribution in the entire human tissue, and the real-time health status schematic results of the tissues and organs of the whole body can be intuitively seen; the obtained results are uploaded to the mobile phone APP of the evaluation object, or after performing big data analysis first, the analysis results are sent to the evaluation object or management agency, so that users can check the test results through their mobile phones at any time to understand their own physical condition, and the management agency can accumulate data at any time to establish an effective evaluation model. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a schematic diagram of the overall structure of the health risk assessment system described in Example 1.

[0018] Figure 2 This is a circuit schematic diagram of the data acquisition cabin described in Example 1 for collecting data. DETAILED DESCRIPTION

[0019] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0020] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0021] Secondly, the present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention in detail, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0022] Example 1

[0023] A health risk assessment system based on biomedical electrical impedance imaging technology, such as Figure 1 As shown, the detection device based on biomedical electrical impedance imaging technology, a PC host 30, a client server 40 and a receiving terminal (including a big data platform 50 or a mobile phone APP 60 and other receiving terminals) are connected in sequence; the detection device includes:

[0024] 6 electrodes, namely, a left foot electrode plate 11, a right foot electrode plate 12, a left hand electrode plate 13, a right hand electrode plate 14, a left forehead electrode patch 15 and a right forehead electrode patch 16; these electrodes are used to be attached to corresponding positions on the body surface and apply a safe excitation current to the body;

[0025] 1 data acquisition cabin 20, used for collecting detection data from the electrodes;

[0026] Wherein, the data acquisition circuit board is arranged in the data acquisition chamber 20, such as Figure 2 As shown, the digital acquisition circuit board is provided with an analog signal input circuit 21, an analog-to-digital conversion chip 22 and a digital signal output circuit 23; the analog signal input circuit 21 is provided with a multiplexer, an amplifier, a synchronous demodulator and 8 analog signal input lines in sequence; the read signal input pin and the chip select signal input pin of the analog-to-digital conversion chip 22 are connected to an active crystal oscillator 24; the digital signal output circuit 23 is provided with 8 parallel data transmission lines;

[0027] The analog signal input circuit 21 is connected to the six electrodes through an interface. The signals of the electrodes are amplified by the amplifier and demodulated by the synchronous demodulator, and then input into the analog-to-digital conversion chip 21 through six analog signal input lines; the analog-to-digital conversion chip 22 reads and converts data in cooperation with the active crystal oscillator 24; the converted digital signals are output to the PC through eight parallel data transmission lines.

[0028] The PC host 30 has built-in analysis software, which uses an image reconstruction algorithm to obtain the electrical impedance in the corresponding tissue, integrates the electrical impedance of each tissue, and establishes a 3D image of the electrical impedance distribution in the entire human tissue; the PC host 30 is connected to the network server 40 via a wired or wireless method, and its analysis results are uploaded to the network server 40, which is further sent to the user's mobile phone for display in the mobile phone APP 60, or sent to the big data analysis platform 50.

[0029] In practical applications, the electrodes in the health risk assessment system of this embodiment are fixed on the left hand, right hand, left foot, right foot, left forehead and right forehead of the human body, and ensure that each electrode can conduct electricity effectively; then the power supply of the data acquisition cabin 20 is started, and a safe excitation current of different frequencies is applied between different electrodes using a multi-way conversion switch, and the voltage change (equivalent to the change in electrical impedance) on the surface of the corresponding tissue is measured at the same time. After the signal is amplified by the amplifier, it is sent to the synchronous demodulator, then to the analog-to-digital converter, and finally transmitted to the computer for analysis and calculation, and the electrical impedance in the corresponding tissue is obtained by using an image reconstruction algorithm. The electrical impedance of each tissue is integrated to establish a 3D image of the electrical impedance distribution in the entire human tissue, and the real-time health status schematic results of the whole body tissues and organs can be intuitively seen; the analysis results are uploaded to the network server 40, and further sent to the user's mobile phone APP 60 by the network server 40, or sent to the big data analysis platform 50 for big data analysis, and the analysis results are sent to the evaluation object or management agency, so that the user can check the test results through the mobile phone at any time to understand their own physical condition, and the management agency can accumulate data at any time to establish an effective evaluation model.

Claims

1. A detection device based on biomedical electrical impedance imaging technology, comprising: A plurality of electrodes are used to be attached to the body surface and apply a safe excitation current to the body; a data acquisition cabin is used to collect detection data from the electrodes; wherein a data acquisition circuit board is arranged in the data acquisition cabin, and an analog signal input circuit, an analog-to-digital conversion chip and a digital signal output circuit are arranged on the data acquisition circuit board; the analog signal input circuit is provided with a multi-way conversion switch, an amplifier, a synchronous demodulator and a plurality of analog signal input lines in sequence; the read signal input pin and the chip select signal input pin of the analog-to-digital conversion chip are connected to an active crystal oscillator; the digital signal output circuit is provided with a plurality of parallel data transmission lines; the signals of the plurality of electrodes are collected and amplified by the amplifier and demodulated by the synchronous demodulator, and then input into the analog-to-digital conversion chip through the plurality of analog signal input lines; the analog-to-digital conversion chip reads and converts data with the cooperation of the active crystal oscillator; the converted digital signal is output to a PC through the plurality of parallel data transmission lines, and the plurality of electrodes include 6 electrodes, and the 6 electrodes are respectively located at the left foot, the right foot, the left hand, the right hand, the left side of the forehead and the right side of the forehead.

2. The device according to claim 1, characterized in that: The digital signal output circuit is provided with 8 parallel data transmission lines.

3. A health risk assessment system based on biomedical electrical impedance imaging technology, which is composed of the detection equipment based on biomedical electrical impedance imaging technology according to claim 1, a PC host, a network server and a receiving terminal connected in sequence; the PC host has built-in analysis and evaluation software, uses an image reconstruction algorithm to obtain the electrical impedance in the corresponding tissue, integrates the electrical impedance of each tissue, and establishes a 3D image of the electrical impedance distribution in the entire human tissue; the PC host is connected to the network server via wired or wireless means, and its analysis results are uploaded to a big data center, which is further pushed to the receiving terminal by the big data center.

4. The health risk assessment system according to claim 3, characterized in that: The receiving terminal is a mobile terminal equipped with corresponding application software or other hardware terminal with built-in health risk-related big data.

5. The health risk assessment system according to claim 4, characterized in that: The mobile terminal shown is a smartphone, a smart watch, or a tablet computer.

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