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

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

DOI:
10.3791/52394-v

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11:06 min

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April 12, 2016

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, , ,
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)

Chapters

  • 00:05Title
  • 01:52Mobile Brain/Body Imaging (MoBI) Setup and Sensor Placement
  • 03:53Eye Tracker Based Evaluation of Post-stroke Pursuit Eye Movements
  • 05:20NMES/SES-assisted Visuomotor Balance Therapy (VBT) under MoBI
  • 07:10Calibrate the Sensers for VBT
  • 08:08Multi-sensor Data Collection from Low-cost Sensors During VBT
  • 09:25Representative Results
  • 10:14Conclusion

Summary

Automatic Translation

Automatic Translation

A novel low-cost human-machine interface for interactive post-stroke balance rehabilitation system is presented in this article. The system integrates off-the-shelf low-cost sensors towards volitionally driven electrotherapy paradigm. The proof-of-concept software interface is demonstrated on healthy volunteers.

Tags

Keywords: Human-machine InterfaceLow-cost SensorsNeuromuscular Electrical StimulationPost-stroke Balance RehabilitationMoBIEye TrackingVisuomotor Balance TherapyGaze-basedDual-spectrumHome-based RehabilitationAutism Spectrum DisorderParkinsonismTraumatic Brain InjuryDepression

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