Abstract
Peripheral nerve injuries often lead to motor, sensory and autonomic dysfunction in patients, which seriously affects their quality of life. Diagnosis and treatment of these injuries require precise neurological function assessment techniques. Conventional neurophysiologic assays are limited in specific aspects and new assays are urgently needed to provide higher temporal and spatial resolution. In this study, we investigated the peripheral nerve detection based on the acoustoelectric(AE) effect for the first time, aiming to introduce a novel peripheral nerve detection method characterized by enhanced adaptability and superior spatiotemporal resolution. This study analyzed in detail the time domain and frequency domain characteristics of low-frequency(LF) neuroelectric stimulation signal and demonstrated the feasibility of peripheral nerve detection based on the AE effect in accurately reflecting neuroelectric activity.
Funding Information
  • The National Natural Science Foundation of China (No. 62276183)