Abstract
With the rapid development of society and economy, people's living pressure is constantly increasing, and some diseases such as motor neuron disease (ALS) are troubling people. However, the accuracy of diagnosing ALS is still relatively low. Therefore, this article specifically designs a motor nerve detection system and a functional rehabilitation system based on functional infrared spectroscopy. Firstly, this article provides an in-depth explanation of the principles of functional infrared spectroscopy imaging technology, and summarizes the principles and characteristics of functional near-infrared spectroscopy imaging technology. The research process mainly utilizes functional near-infrared spectroscopy to evaluate patients themselves, and then conducts subsequent experiments to accurately analyze the sensitivity and differences of functional near-infrared spectroscopy (FNIRS) parameters for different difficulties. The research results indicate that the FNIRS signal can make patients more sensitive. Within the specified range, the HbO (oxygen hemoglobin) and tHb (total hemoglobin) levels of patients will change with the difficulty of the task, and there will be a downward trend after the difficulty exceeds a specific value. Therefore, the imaging technology based on functional infrared spectroscopy proposed in this article achieves the design of a system for motor nerve detection and functional rehabilitation, and verifies the effectiveness of this system.