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Sensors (Basel). 2018 Mar 25;18(4). pii: E971. doi: 10.3390/s18040971.

Nondestructive Estimation of Muscle Contributions to STS Training with Different Loadings Based on Wearable Sensor System.

Author information

1
School of Mechanical Science and Engineering, Jilin University, Changchun 130025, China. kunliu@jlu.edu.cn.
2
School of Mechanical Science and Engineering, Jilin University, Changchun 130025, China. liuyong16@mails.jlu.edu.cn.
3
School of Mechanical Science and Engineering, Jilin University, Changchun 130025, China. yanjc16@mails.jlu.edu.cn.
4
School of Mechanical Science and Engineering, Jilin University, Changchun 130025, China. zysun17@mails.jlu.edu.cn.

Abstract

Partial body weight support or loading sit-to-stand (STS) rehabilitation can be useful for persons with lower limb dysfunction to achieve movement again based on the internal residual muscle force and external assistance. To explicate how the muscles contribute to the kinetics and kinematics of STS performance by non-invasive in vitro detection and to nondestructively estimate the muscle contributions to STS training with different loadings, a wearable sensor system was developed with ground reaction force (GRF) platforms, motion capture inertial sensors and electromyography (EMG) sensors. To estimate the internal moments of hip, knee and ankle joints and quantify the contributions of individual muscle and gravity to STS movement, the inverse dynamics analysis on a simplified STS biomechanical model with external loading is proposed. The functional roles of the lower limb individual muscles (rectus femoris (RF), gluteus maximus (GM), vastus lateralis (VL), tibialis anterior (TA) and gastrocnemius (GAST)) during STS motion and the mechanism of the muscles' synergies to perform STS-specific subtasks were analyzed. The muscle contributions to the biomechanical STS subtasks of vertical propulsion, anteroposterior (AP) braking and propulsion for body balance in the sagittal plane were quantified by experimental studies with EMG, kinematic and kinetic data.

KEYWORDS:

joint moment; muscle contributions; nondestructive; partial weight loading; sit-to-stand training

PMID:
29587391
PMCID:
PMC5948594
DOI:
10.3390/s18040971
[Indexed for MEDLINE]
Free PMC Article

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