Engagement sensitive visual stimulation | Zendy

Deepesh Kumar | Zendy; Anirban Dutta | Zendy; Abhijit Das | Zendy; Uttama Lahiri | Zendy

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Engagement sensitive visual stimulation

Author(s) -

Deepesh Kumar,

Anirban Dutta,

Abhijit Das,

Uttama Lahiri

Publication year - 2016

Publication title -

european journal of translational myology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.271

H-Index - 6

eISSN - 2037-7460

pISSN - 2037-7452

DOI - 10.4081/ejtm.2016.6032

Subject(s) - rehabilitation , stroke (engine) , physical medicine and rehabilitation , medicine , visual impairment , virtual reality , physical therapy , computer science , psychiatry , human–computer interaction , mechanical engineering , engineering

Stroke is one of leading cause of death and disability worldwide. Early detection during golden hour and treatment of individual neurological dysfunction in stroke using easy-to-access biomarkers based on a simple-to-use, cost-effective, clinically-valid screening tool can bring a paradigm shift in healthcare, both urban and rural. In our research we have designed a quantitative automatic home-based oculomotor assessment tool that can play an important complementary role in prognosis of neurological disorders like stroke for the neurologist. Once the patient has been screened for stroke, the next step is to design proper rehabilitation platform to alleviate the disability. In addition to the screening platform, in our research, we work in designing virtual reality based rehabilitation exercise platform that has the potential to deliver visual stimulation and in turn contribute to improving one’s performance

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