A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

10.4K Views

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11:06 min

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April 12th, 2016

DOI :

10.3791/52394-v

April 12th, 2016

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Deepesh Kumar¹, Abhijit Das², Uttama Lahiri¹, Anirban Dutta³^,⁴

¹Indian Institute of Technology Gandhinagar, ²AMRI Institute of Neurosciences, ³Institut national de recherche en informatique et en automatique (INRIA), ⁴Leibniz Research Centre for Working Environment and Human Factors (IfADo)

Summary

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Keywords Human machine Interface

Low cost Sensors

Neuromuscular Electrical Stimulation

Post stroke Balance Rehabilitation

MoBI

Eye Tracking

Visuomotor Balance Therapy

Gaze based

Dual spectrum

Home based Rehabilitation

Autism Spectrum Disorder

Parkinsonism

Traumatic Brain Injury

Depression

Chapters in this video

0:05

Title

1:52

Mobile Brain/Body Imaging (MoBI) Setup and Sensor Placement

3:53

Eye Tracker Based Evaluation of Post-stroke Pursuit Eye Movements

5:20

NMES/SES-assisted Visuomotor Balance Therapy (VBT) under MoBI

7:10

Calibrate the Sensers for VBT

8:08

Multi-sensor Data Collection from Low-cost Sensors During VBT

9:25

Representative Results

10:14

Conclusion

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