High-Density surface EMG based CMAP scan for motor unit number estimation

基于高密度表面肌电图的 CMAP 扫描，用于估计运动单位数量

• 批准号: 10424869
• 负责人: Paul E Barkhaus
• 金额: $ 43.17万
• 依托单位: MEDICAL COLLEGE OF WISCONSIN
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10424869
• 关键词: Density; surface; EMG; based; CMAP

Project Abstract This research aims to develop a novel motor unit number estimation (MUNE) technique that integrates two recent advances in electrophysiology, i.e. compound muscle action potential (CMAP) scan and high-density surface electromyography (HDEMG), to provide accurate and reliable estimation of functioning motor units in the muscle. The proposed technique will be used as a sensitive biomarker for quantifying or tracking motor unit population in clinical settings or to explore axon excitability and muscle rearrangements in response to medication, exercises or physical therapies in aging, amyotrophic lateral sclerosis (ALS) and other neurological disorders.

项目摘要 本研究旨在开发一种新的运动单位数估计（MUNE）技术， 电生理学的最新进展，即复合肌肉动作电位（CMAP）扫描和高密度 表面肌电图（HDEMG），以提供准确和可靠的估计功能的运动单位， 肌肉。该技术将作为一种敏感的生物标志物用于运动单位的定量或跟踪 或探索轴突兴奋性和肌肉重排， 药物治疗、锻炼或物理疗法，用于治疗衰老、肌萎缩性侧索硬化症（ALS）和其他神经系统疾病。 紊乱

项目成果

Neurophysiological Factors Affecting Muscle Innervation Zone Estimation Using Surface EMG: A Simulation Study.

使用表面EMG的神经生理因素影响肌肉神经支配区域的估计：一项仿真研究。

• DOI: 10.3390/bios11100356
• 发表时间: 2021-09-27
• 期刊: Biosensors
• 作者: Huang C;Chen M;Li X;Zhang Y;Li S;Zhou P
• 通讯作者: Zhou P

Distribution of innervation zone and muscle fiber conduction velocity in the biceps brachii muscle.

• DOI: 10.1016/j.jelekin.2022.102637
• 发表时间: 2022-04
• 期刊: Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology
• 作者: Li X;Huang C;Lu Z;Wang I;Klein CS;Zhang L;Zhou P
• 通讯作者: Zhou P

A Novel Analysis of Compound Muscle Action Potential Scan: Staircase Function Fitting and StairFit Motor Unit Number Estimation.

• DOI: 10.1109/jbhi.2022.3229211
• 发表时间: 2023-03
• 期刊: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
• 影响因子: 7.7
• 作者: Chen, Maoqi;Lu, Zhiyuan;Zong, Ya;Li, Xiaoyan;Zhou, Ping
• 通讯作者: Zhou, Ping