Literature DB >> 31288589

Lower limb rehabilitation using multimodal measurement of sit-to-stand and stand-to-sit task.

Siddharth Bhardwaj1, Abid Ali Khan1, Mohammad Muzammil1.   

Abstract

PURPOSE: Assistive and rehabilitation devices are dependent upon detecting the user intent through physiological and kinematics changes. Rising from a chair and vice-versa have been less investigated for the purpose of rehabilitation-aids. This study investigates the muscle activation along with trunk and knee biomechanics in sagittal plane during sit-to-stand and stand-to-sit transfer.
METHOD: Nine healthy participants (age 25.67 ± 3.27 years) were measured for flexion/extension of knee and trunk, and for surface electromyography (EMG) of vastus lateralis (VL) and biceps femoris (BF) of both the legs at a speed of 100 beats per minute while performing sit-to-stand and stand-to-sit task.
RESULTS: The knee flexion angles at peak EMG-RMS (root mean square envelope of EMG) were significantly different for the two tasks (p = 0.002). Also, for each muscle, EMG-RMS peak was obtained at significantly different knee angle within the same task (p = 0.046). EMG work done (WD) was also found to be significantly different for the intervened muscles (p = 0.002).
CONCLUSIONS: Trunk flexion together with VL showed an earlier onset in sit-to-stand task, which might form an important modality for detecting human intention to perform the activity. However, for stand-to-sit task, some other muscle group in conjunction to BF may be useful for detecting the human intention. The understanding from the study could be used as a first step in devising multimodal control for assistive devices aiding sit-to-stand and stand-to-sit transfers. That would be a novel approach to fuse the data of postural deviation into the EMG signal to achieve lower limb rehabilitation or in prosthetic control.Implications for rehabilitationMulti-modal sensor fusion can be used for realtime monitoring of patient biomechanics.Development of control algorithms for assistive devices aiding sit-stand transfers.Sensor fusion will help in achieving greater robotic compliance rehabilitation.

Entities:  

Keywords:  EMG; biomechanics; inertial measurement; multimodal; sit-to-stand; stand-to-sit

Year:  2019        PMID: 31288589     DOI: 10.1080/17483107.2019.1629701

Source DB:  PubMed          Journal:  Disabil Rehabil Assist Technol        ISSN: 1748-3107


  2 in total

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Journal:  J Phys Ther Sci       Date:  2021-03-17

Review 2.  Recent Trends and Practices Toward Assessment and Rehabilitation of Neurodegenerative Disorders: Insights From Human Gait.

Authors:  Ratan Das; Sudip Paul; Gajendra Kumar Mourya; Neelesh Kumar; Masaraf Hussain
Journal:  Front Neurosci       Date:  2022-04-15       Impact factor: 5.152

  2 in total

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