Nerve detection junction box

Abstract

The utility model discloses a nerve detection junction box which comprises a box body, a user interface module is fixedly arranged on the surface of the box body, a signal processing module and a data storage module are fixedly arranged inside the box body, and a multi-channel detection module is electrically connected outside the box body. The multi-channel detection module comprises a biological electrode array with the channel number expanded, each channel of the biological electrode array is sequentially and electrically connected with an operational amplifier and a filter, the output end of the filter is connected with the input end of the signal processing module, the output end of the signal processing module is connected with the input end of the data storage module, and the output end of the data storage module is connected with the output end of the data storage module. Compared with the prior art, the multi-channel neural signal acquisition device has the advantages that by introducing the multi-channel detection module, the number of channels of the device is increased, neural signals of a plurality of channels can be acquired at the same time, the comprehensiveness and accuracy of signal acquisition are improved, and the accuracy of signal acquisition is improved. And the research and clinical diagnosis requirements on the complex neural network are met.

Description

Technical Field

[0001] The utility model relates to the technical field of nerve detection devices, in particular to a nerve detection junction box. Background Art

[0002] A neural detection junction box is a device used to collect and process neural signals, and is commonly used in neuroscience research, clinical diagnosis, and neuroengineering applications. Traditional neural signal detection equipment usually has some defects, such as limited number of channels, insufficient data processing capabilities, and single data storage and transmission methods. These problems limit the application scope and effect of neural signal detection equipment in clinical and scientific research applications.

[0003] 1. Limited number of channels: Traditional neural signal detection equipment can usually only collect neural signals from a small number of channels at the same time, which limits its application in complex neural network research and clinical diagnosis. In addition, the limited number of channels will also reduce the comprehensiveness and accuracy of signal acquisition.

[0004] 2. Insufficient data processing capabilities: Traditional equipment can only perform simple filtering and amplification in signal processing, and lacks the ability to process and analyze complex signals in real time. This leads to limitations in real-time monitoring and data analysis, and cannot meet the higher demands of clinicians and researchers for neural signal processing.

[0005] 3. Single data storage and transmission method: Traditional devices usually only support local data storage or simple wired data transmission methods, lacking flexible data storage and transmission options. This limits the application of the device in different scenarios and cannot meet the needs of remote monitoring and data sharing. Utility Model Content

[0006] 1. Technical issues

[0007] The purpose of this utility model patent is to overcome the above-mentioned defects of traditional neural signal detection equipment and provide a more comprehensive, efficient, flexible and user-friendly neural detection junction box.

[0008] (II) Technical content

[0009] In order to solve the above technical problems, the technical solution of the utility model is: a neural detection junction box, including a box body, a user interface module is fixedly provided on the surface of the box body, a signal processing module and a data storage module are fixedly provided inside the box body, and a multi-channel detection module is electrically connected to the outside of the box body, the multi-channel detection module includes a bio-electrode array with an expanded number of channels, each channel of the bio-electrode array is electrically connected in sequence with an operational amplifier and a filter, the output end of the filter is connected to the input end of the signal processing module, the output end of the signal processing module is connected to the input end of the data storage module, and the output end of the data storage module is electrically connected to the user interface module.

[0010] Furthermore, it also includes a multi-channel interface chip, the input end of the multi-channel interface chip is connected to the multiple filters, and the output end of the multi-channel interface chip is connected to the input end of the signal processing module.

[0011] Furthermore, the signal processing module adopts a digital signal processor (DSP) or an embedded microprocessor.

[0012] Furthermore, the data storage module includes a local memory and a wireless communication module.

[0013] Furthermore, the wireless communication module adopts a WiFi module, a Bluetooth module or a LoRa module.

[0014] Furthermore, the user interface module includes a microcontroller and a display screen, and the data storage module is electrically connected to the microcontroller.

[0015] Furthermore, the display screen adopts a liquid crystal display screen or an OLED display screen.

[0016] (III) Technical Effect

[0017] Compared with the prior art, the utility model has the following advantages:

[0018] 1. Addition of multi-channel detection module: By introducing the multi-channel detection module, the number of channels of the device is expanded, and neural signals from multiple channels can be collected simultaneously, which improves the comprehensiveness and accuracy of signal acquisition and meets the research and clinical diagnosis needs of complex neural networks.

[0019] 2. Improved signal processing capability: Using a digital signal processor (DSP) or embedded microprocessor as a signal processing module realizes real-time processing and analysis of neural signals, including filtering, amplification, denoising and other functions, which improves the data processing capability of the equipment and meets the processing requirements of complex signals.

[0020] 3. Support for multiple data storage and transmission methods: The data storage module includes local storage and wireless communication module, supporting both local storage and remote data transmission, improving the flexibility and convenience of data storage and transmission, and meeting data management and sharing needs in different scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 The utility model is a system structure schematic diagram of a nerve detection junction box. DETAILED DESCRIPTION

[0022] The utility model is further described in detail below in conjunction with the accompanying drawings.

[0023] Combined with Figure 1 A neural detection junction box comprises a box body, a user interface module is fixedly provided on the surface of the box body, a signal processing module and a data storage module are fixedly provided inside the box body, a multi-channel detection module is electrically connected to the outside of the box body, the multi-channel detection module comprises a bio-electrode array with an expanded number of channels, each channel of the bio-electrode array is electrically connected in sequence with an operational amplifier and a filter, the output end of the filter is connected to the input end of the signal processing module, the output end of the signal processing module is connected to the input end of the data storage module, and the output end of the data storage module is electrically connected to the user interface module.

[0024] A nerve detection junction box also includes a multi-channel interface chip, the input end of the multi-channel interface chip is connected to multiple filters, and the output end of the multi-channel interface chip is connected to the input end of a signal processing module. The signal processing module adopts a digital signal processor (DSP). The data storage module includes a local memory and a wireless communication module, and the wireless communication module adopts a WiFi module. The user interface module includes a microcontroller and a display screen, the data storage module is electrically connected to the microcontroller, and the display screen adopts a liquid crystal display screen.

[0025] The specific working process of the nerve detection junction box of the utility model is as follows:

[0026] 1. Signal acquisition stage:

[0027] Bioelectrode Array: Use NeuroNexus' 32-channel bioelectrode array and place it into biological tissue to collect neural signals.

[0028] Amplification circuit: Each bioelectrode channel is connected to a Texas Instruments INA2128 operational amplifier for signal amplification to enhance signal quality.

[0029] Multi-channel detection module: NeuroNexus' 32-channel bioelectrode array as part of the multi-channel detection module expands the number of channels.

[0030] 2. Signal processing stage:

[0031] Signal processing module: It uses Texas Instruments' TMS320F28379D digital signal processor (DSP), which is responsible for digital filtering, amplification, and denoising of the collected neural signals.

[0032] Filter: Each bioelectrode channel is connected to a filter to filter out noise and clutter and retain valid neural signal components.

[0033] Data processing algorithm: The algorithm built into DSP processes and analyzes the filtered signal in real time, extracting feature information for subsequent diagnosis and research.

[0034] 3. Data storage and transmission stage:

[0035] Data storage module: Use SanDisk's 128GB flash memory chip as local storage to store the processed neural signal data inside the device.

[0036] Wireless communication module: ESP32 WiFi module is used to realize wireless data transmission between the device and external devices (such as computers and mobile phones), facilitating real-time monitoring and remote access of data.

[0037] 4. User interface operation stage:

[0038] User interface module: Microchip's PIC32MX microcontroller and 3.5-inch TFT LCD are used to build a user-friendly operation interface. Users can monitor the collected neural signals in real time through the LCD and make adjustments, such as selecting acquisition channels and adjusting filter parameters.

[0039] The above description of the utility model and its implementation methods is not restrictive. The drawings show only one implementation method of the utility model, and the actual structure is not limited thereto. In short, if ordinary technicians in this field are inspired by it and design structural methods and embodiments similar to the technical solution without creativity without departing from the purpose of the invention of the utility model, they should all fall within the protection scope of the utility model.

Claims

1. A nerve detection junction box, comprising a box body, a user interface module is fixedly provided on the surface of the box body, and is characterized in that: A signal processing module and a data storage module are fixedly arranged inside the box body, and a multi-channel detection module is electrically connected to the outside of the box body. The multi-channel detection module includes a bioelectrode array with an expanded number of channels, and each channel of the bioelectrode array is electrically connected to an operational amplifier and a filter in sequence, the output end of the filter is connected to the input end of the signal processing module, the output end of the signal processing module is connected to the input end of the data storage module, and the output end of the data storage module is electrically connected to the user interface module.

2. A nerve detection junction box according to claim 1, characterized in that: It also includes a multi-channel interface chip, the input end of the multi-channel interface chip is connected to a plurality of filters, and the output end of the multi-channel interface chip is connected to the input end of the signal processing module.

3. A nerve detection junction box according to claim 1, characterized in that: The signal processing module adopts a digital signal processor or an embedded microprocessor.

4. The nerve detection junction box according to claim 1, characterized in that: The data storage module includes a local memory and a wireless communication module.

5. A nerve detection junction box according to claim 4, characterized in that: The wireless communication module adopts a WiFi module, a Bluetooth module or a LoRa module.

6. The nerve detection junction box according to claim 1, characterized in that: The user interface module includes a microcontroller and a display screen, and the data storage module is electrically connected to the microcontroller.

7. A nerve detection junction box according to claim 6, characterized in that: The display screen adopts a liquid crystal display screen or an OLED display screen.

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