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

Siddharth BhardwajAbid Ali KhanMohammad Muzammil
Published in: Disability and rehabilitation. Assistive technology (2019)
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.
Keyphrases
  • lower limb
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  • machine learning
  • skeletal muscle
  • pain management
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  • pluripotent stem cells
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  • minimally invasive
  • chronic pain