基于感觉-运动整合障碍的帕金森病检测与运动康复干预的研究进展OA

Parkinson's disease(PD)is a common neurodegenerative disorder.Its pathogenesis remains unclear,and challenges persist in achieving precise detection and effective rehabilitation.Traditional clinical rating scales are limited by subjectivity and low sensitivity in early stages.In recent years,research on the neural mechanisms underlying sensorimotor integration(SMI)deficits in PD has advanced,and novel detection technologies based on surface electromyography(sEMG),inertial measurement units(IMU)and e-lectroencephalogram(EEG)have provided new tools for objective assessment,while also driving technological innovation in rehabilita-tion interventions.This paper systematically reviews the SMI deficits in PD,along with research progress in neural detection technolo-gies and rehabilitation strategies within this framework.It focuses on detection methods grounded in SMI and closed-loop neuromodula-tion interventions,and discusses their application prospects and future directions in personalized and precise rehabilitation for PD.