Vestibular dysfunction detection system based on inertial sensor
A technology of inertial sensors and vestibular functions, applied in sensors, diagnostic recording/measurement, medical science, etc., can solve problems such as increasing patient pain, prone to dizziness, nausea, and cumbersome processes, so as to improve effectiveness and reliability, and expand Vertigo detection scene, data accurate and comprehensive effect
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Embodiment 1
[0044] In one or more embodiments, a system for detecting vestibular dysfunction based on an inertial sensor is disclosed, which specifically includes:
[0045] 1. The data collection module is configured to collect the human body posture data of the subject in different walking modes.
[0046] Specifically, the data acquisition module uses an inertial sensor Mini IMU AHRS, including a three-axis accelerometer, a three-axis gyroscope, and a three-axis magnetometer. The inertial sensor is fixed on the head by a belt. The specific wearing position is as follows: figure 2 shown;
[0047] 2. The data transmission module is configured to transmit the collected human posture data to the data processing terminal;
[0048] Specifically, the data collected by the inertial sensor is wirelessly transmitted to the computer terminal through Bluetooth. Of course, the data transmission method is not limited to Bluetooth transmission, and other data transmission methods can also be used, su...
Embodiment 2
[0156] In one or more embodiments, a terminal device is disclosed, including a server, the server includes a memory, a processor, and a computer program stored on the memory and operable on the processor, refer to figure 1 , the processor implements the following process when executing the program:
[0157] Receive the collected human posture data of the subject under different walking styles;
[0158] preprocessing the data;
[0159] Perform feature extraction on the collected human posture data;
[0160] Use the random forest method and mutual information method to screen the extracted features to remove redundant and irrelevant features;
[0161] Input the extracted features into the trained vestibular function state recognition model, and output the vestibular function state recognition result.
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