日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Insights into motor impairment assessment using myographic signals with artificial intelligence: a scoping review

利用肌电信号和人工智能进行运动功能障碍评估的研究进展:一项范围界定综述

Sohn, Wonbum; Sohn, M Hongchul; Son, Jongsang

Stretch reflex gain scaling at the shoulder varies with synergistic muscle activity

肩部牵张反射增益的缩放比例随协同肌活动而变化

Nicolozakes, Constantine P; Sohn, M Hongchul; Baillargeon, Emma M; Lipps, David B; Perreault, Eric J

Experimentally quantifying the feasible torque space of the human shoulder

通过实验量化人体肩关节可行扭矩空间

Baillargeon, Emma M; Ludvig, Daniel; Sohn, M Hongchul; Nicolozakes, Constantine P; Seitz, Amee L; Perreault, Eric J

Effects of kinematic complexity and number of muscles on musculoskeletal model robustness to muscle dysfunction

运动学复杂性和肌肉数量对肌肉骨骼模型抵抗肌肉功能障碍能力的影响

Sohn, M Hongchul; Smith, Daniel M; Ting, Lena H

Highlights from the 28th Annual Meeting of the Society for the Neural Control of Movement

运动神经控制学会第28届年会精彩回顾

Mazurek, Kevin A; Berger, Michael; Bollu, Tejapratap; Chowdhury, Raeed H; Elangovan, Naveen; Kuling, Irene A; Sohn, M Hongchul

Suboptimal Muscle Synergy Activation Patterns Generalize their Motor Function across Postures

次优的肌肉协同激活模式会将其运动功能推广到各种姿势中。

Sohn, M Hongchul; Ting, Lena H

Feasible muscle activation ranges based on inverse dynamics analyses of human walking

基于人体步行逆动力学分析的可行肌肉激活范围

Simpson, Cole S; Sohn, M Hongchul; Allen, Jessica L; Ting, Lena H

Defining feasible bounds on muscle activation in a redundant biomechanical task: practical implications of redundancy

在冗余生物力学任务中定义肌肉激活的可行界限:冗余的实际意义

Sohn, M Hongchul; McKay, J Lucas; Ting, Lena H

Neuromechanic: a computational platform for simulation and analysis of the neural control of movement

神经力学:一个用于模拟和分析运动神经控制的计算平台

Bunderson, Nathan E; Bingham, Jeffrey T; Sohn, M Hongchul; Ting, Lena H; Burkholder, Thomas J