To attain the objective of effectively and precisely overseeing the rehabilitation data pertaining to human sports injuries, and to reflect the patient’s rehabilitation progress in real time, a study on the monitoring method of human sports injury rehabilitation data was carried out using biomedical sensors. First, establish a database for inputting patient information, store and manage patient information, and grasp the basic information of patients; Second, select the specifications and models of biomedical sensors, and design their performance configuration parameters and node layout. On this basis, set monitoring indicators for human sports injury rehabilitation parameters. Finally, based on biomedical sensors, real-time monitoring of human sports injury rehabilitation data is conducted to evaluate the rehabilitation situation. The outcomes of the testing indicate that the observed values following the implementation of this approach exhibit greater proximity to the genuine values and can respond and record data within 3 s. The accuracy and timeliness of data monitoring are high.

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A Monitoring Method for Human Sports Injury Rehabilitation Data Based on Biomedical Sensors

  • Ningpei Ran

摘要

To attain the objective of effectively and precisely overseeing the rehabilitation data pertaining to human sports injuries, and to reflect the patient’s rehabilitation progress in real time, a study on the monitoring method of human sports injury rehabilitation data was carried out using biomedical sensors. First, establish a database for inputting patient information, store and manage patient information, and grasp the basic information of patients; Second, select the specifications and models of biomedical sensors, and design their performance configuration parameters and node layout. On this basis, set monitoring indicators for human sports injury rehabilitation parameters. Finally, based on biomedical sensors, real-time monitoring of human sports injury rehabilitation data is conducted to evaluate the rehabilitation situation. The outcomes of the testing indicate that the observed values following the implementation of this approach exhibit greater proximity to the genuine values and can respond and record data within 3 s. The accuracy and timeliness of data monitoring are high.