Close-range wireless electroencephalogram signal acquisition method

Abstract

The invention discloses a carbon asset price prediction method under multi-source fusion. The method comprises the following steps: preparing two or more electroencephalogram electrodes; the EEG electrode needing to be used is connected with an EEG sensor, a wireless communication module is arranged in the EEG sensor, and the wireless communication module is remotely connected with a host; placing two or more electroencephalogram electrodes on the skin surface of the head of the patient; by simulating electroencephalogram signal digitization and adopting a low-power-consumption short-distance wireless transmission technology, the problem of use limitation of the length of a cable is solved. Electroencephalogram electrode impedance detection and falling detection are supported, the electroencephalogram signal quality is calculated and sent to a host, and then the reliability of product performance is improved. The electroencephalogram electrode (disposable) is separated from the electroencephalogram signal detection communication module (reusable), and each patient only needs to replace the electroencephalogram electrode, so that the use cost can be reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of electroencephalogram (EEG) signal acquisition, and in particular to a short-range wireless EEG signal acquisition method. Background Art

[0002] Traditional EEG signals are transmitted via wires (lead cables), which is very inconvenient to use in the compact operating room environment (especially when the patient is connected to many sensors and trachea).

[0003] Since EEG signals are weak analog signals and are easily interfered with by the external environment, the length of the lead cable is limited and there are certain requirements for the location of the host.

[0004] Therefore, a short-range wireless EEG signal acquisition method is proposed to solve this problem. Summary of the Invention

[0005] To achieve the above object, the present invention provides the following technical solution: a method for collecting short-range wireless EEG signals, comprising the following steps: S1: Prepare 2 or more EEG electrodes; Connect the required EEG electrodes to the EEG sensor, which has a built-in wireless communication module that is remotely connected to the host; Place two or more EEG electrodes on the surface of the patient's head skin; S2: At least one of the electrodes is selected as the reference electrode. One or more EEG signal channels are formed between the reference electrode and the other electrodes. EEG data in digital format is obtained after amplification, filtering, and AD conversion. S3: Output a fixed-frequency impedance measurement signal to the patient's skin through the reference electrode. Detect the amplitude of the impedance measurement signal from the EEG signal of each channel to calculate the impedance of the EEG electrode. Finally, determine whether each electrode is detached and calculate the quality of the EEG signal. The calculation formula is as follows:

[0006] Where A is the measurement signal amplitude, R is the impedance of the measurement signal loop, and the patient contact resistance is:

[0007] The impedance of each channel loop is used to determine whether the corresponding electrode is detached. The EEG signal quality is calculated by combining the absolute value, difference, and change rate of each channel impedance. The calculation formula is as follows:

[0008] Where i=(1,2,…,n), n is the number of EEG electrodes, and They are the lower and upper limits of the normal impedance range respectively.

[0009] The EEG signal quality is calculated by combining the absolute value and difference of each channel impedance. The calculation formula is as follows:

[0010] Where i=(1,2,…,n), n is the number of EEG electrodes, is the standard impedance value.

[0011] Preferably, in step 1, the wireless communication module adopts low-power short-range wireless communication.

[0012] Preferably, in step 1, the wireless communication module is Bluetooth, which sends EEG data, signal quality, battery power, system status and other information to the host.

[0013] Compared with the prior art, the present invention has the following beneficial effects: This invention overcomes cable length limitations by digitizing simulated EEG signals and employing low-power, short-range wireless transmission technology. It supports EEG electrode impedance and dropout detection, calculates EEG signal quality, and transmits it to the host computer, thereby improving product reliability. The EEG electrodes (disposable) are separated from the EEG signal detection and communication module (reusable), requiring only replacement of the electrodes for each patient, reducing operational costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 This is a schematic diagram of the EEG electrode swing method of the present invention; Figure 2 This is a schematic diagram of EEG data acquisition in the present invention; Figure 3 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0015] The present invention will be described in more detail below by way of examples. These examples are merely illustrative and do not limit the scope of the present invention in any way.

[0016] Example 1 See Figure 1-Figure 3 ,The present invention provides a technical solution: a carbon asset price prediction method under multi-source fusion, comprising the following steps: S1: preparing two or more EEG electrodes; Connect the required EEG electrodes to the EEG sensor, which has a built-in wireless communication module that is remotely connected to the host; An EEG signal collector is an instrument used to collect the discharge activity of neurons in the human brain. It can capture weak electrical signals in the human brain, which are what we commonly call electroencephalogram (EEG) signals. An EEG signal collector usually consists of three parts: a sensor, an amplifier, and a recorder. The function of the sensor is to sense brain electrical activity and convert it into an electrical signal that can be recognized by the recorder. Common EEG sensors are composed of soft electrodes and conductive paste, usually attached to the scalp to capture EEG signals. The amplifier amplifies the weak EEG signals captured by the sensor so that the recorder can better read and process these signals; the recorder ultimately records the EEG signals. The wireless communication module uses low-power short-range wireless communication; the wireless communication module is Bluetooth, which sends EEG data, signal quality, battery power, system status and other information to the host; Place two or more EEG electrodes on the surface of the patient's head skin; S2: At least one of the electrodes is selected as the reference electrode. One or more EEG signal channels are formed between the reference electrode and the other electrodes. EEG data in digital format is obtained after amplification, filtering, and AD conversion. The remote transmission of EEG signals works as follows: (1) Signal acquisition and preprocessing: The EEG sensor first collects EEG signals through EEG electrodes. These signals are usually very weak and susceptible to noise interference. Therefore, the collected signals need to be preprocessed, including filtering, denoising, and baseline correction, to improve the quality and reliability of the signals. (2) Low power consumption and high-efficiency data transmission: The EEG sensor transmits the pre-processed EEG signal to the host through the wireless communication module; the wireless communication module uses Bluetooth to transmit the signal to the host for reception; if a Bluetooth smart chip such as DA14580 is used for A / D conversion and Bluetooth wireless transmission, low power consumption and high-efficiency data transmission can be achieved between the host and the EEG sensor; S3: Output a fixed-frequency impedance measurement signal to the patient's skin through the reference electrode. Detect the amplitude of the impedance measurement signal from the EEG signal of each channel to calculate the impedance of the EEG electrode. Finally, determine whether each electrode is detached and calculate the quality of the EEG signal. The calculation formula is as follows:

[0017] Where A is the measurement signal amplitude, R is the impedance of the measurement signal loop, and the patient contact resistance is:

[0018] The impedance of each channel loop is used to determine whether the corresponding electrode is detached. The EEG signal quality is calculated by combining the absolute value, difference, and change rate of each channel impedance. The calculation formula is as follows:

[0019] Where i=(1,2,…,n), n is the number of EEG electrodes, and They are the lower and upper limits of the normal impedance range respectively.

[0020] The EEG signal quality is calculated by combining the absolute value and difference of each channel impedance. The calculation formula is as follows:

[0021] Where i=(1,2,…,n), n is the number of EEG electrodes, is the standard impedance value; By digitizing analog EEG signals and employing low-power, short-range wireless transmission technology, the device overcomes cable length limitations. It supports EEG electrode impedance and dropout detection, calculates EEG signal quality, and transmits it to the host, thereby improving product reliability. The EEG electrodes (single-use) are separated from the EEG signal detection and communication module (reusable), requiring only replacement of the electrodes for each patient, reducing operational costs.

[0022] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A short-range wireless EEG signal acquisition method, characterized by: The following steps are involved: S1: Prepare 2 or more EEG electrodes; Connect the required EEG electrodes to the EEG sensor, which has a built-in wireless communication module that is remotely connected to the host; Place two or more EEG electrodes on the surface of the patient's head skin; S2: At least one of the electrodes is selected as the reference electrode. One or more EEG signal channels are formed between the reference electrode and the other electrodes. EEG data in digital format is obtained after amplification, filtering, and AD conversion. S3: Output a fixed-frequency impedance measurement signal to the patient's skin through the reference electrode. Detect the amplitude of the impedance measurement signal from the EEG signal of each channel to calculate the impedance of the EEG electrode. Finally, determine whether each electrode is detached and calculate the quality of the EEG signal. The calculation formula is as follows: Where A is the measurement signal amplitude, R is the impedance of the measurement signal loop, and the patient contact resistance is: The impedance of each channel loop is used to determine whether the corresponding electrode is detached. The EEG signal quality is calculated by combining the absolute value, difference, and change rate of each channel impedance. The calculation formula is as follows: Where i=(1,2,…,n), n is the number of EEG electrodes, and They are the lower and upper limits of the normal impedance range respectively. The EEG signal quality is calculated by combining the absolute value and difference of each channel impedance. The calculation formula is as follows: Where i=(1,2,…,n), n is the number of EEG electrodes, is the standard impedance value.

2. The method for collecting short-range wireless EEG signals according to claim 1, wherein: In step 1, the wireless communication module uses low-power short-range wireless communication.

3. The method for collecting short-range wireless EEG signals according to claim 1, wherein: In step 1, the wireless communication module is Bluetooth, which sends EEG data, signal quality, battery power, system status and other information to the host.

Images