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Related Concept Videos

Visual System01:26

Visual System

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Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
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Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
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Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
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Engagement Sensitive Visual Stimulation.

Deepesh Kumar1, Anirban Dutta2, Abhijit Das3

  • 1Electrical Engineering, Indian Institute of Technology Gandhinagar , India.

European Journal of Translational Myology
|August 2, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a home-based oculomotor assessment tool for early stroke detection and a virtual reality platform for rehabilitation. These tools aim to improve patient outcomes and accessibility in healthcare.

Keywords:
balance rehabilitationfixationsmooth-pursuitstrokevirtual-reality

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Area of Science:

  • Neurology
  • Biomedical Engineering
  • Rehabilitation Medicine

Background:

  • Stroke is a leading global cause of death and disability.
  • Timely detection and rehabilitation are crucial for improving patient outcomes.
  • Current screening and rehabilitation methods may lack accessibility and cost-effectiveness.

Purpose of the Study:

  • To develop a quantitative, automatic, home-based oculomotor assessment tool for stroke prognosis.
  • To design a virtual reality-based rehabilitation exercise platform for post-stroke recovery.
  • To enhance early detection and treatment accessibility for neurological disorders like stroke.

Main Methods:

  • Design of a quantitative automatic home-based oculomotor assessment tool.
  • Development of a virtual reality-based rehabilitation exercise platform with visual stimulation.
  • Integration of screening and rehabilitation into a comprehensive healthcare approach.

Main Results:

  • The oculomotor assessment tool provides a complementary role in neurological disorder prognosis, including stroke.
  • The virtual reality platform offers potential for improved patient performance through visual stimulation.
  • The research contributes to a paradigm shift in accessible, cost-effective stroke care.

Conclusions:

  • Home-based oculomotor assessment and VR rehabilitation offer promising solutions for stroke management.
  • These technologies can improve healthcare accessibility in both urban and rural settings.
  • Further research and clinical validation are warranted to fully realize their potential.