Smart Health System to Detect Dementia Disorders Using Virtual Reality

Area of Science:

• Neuroscience and Medical Technology
• Cognitive Science and Digital Health

Background:

• Smart health technology and virtual reality (VR) are increasingly vital in healthcare, aiding patient monitoring and diagnosis.
• VR applications span robotic surgery, disease diagnosis, and pain management, demonstrating its versatility in medical specialties.

Purpose of the Study:

• To introduce a non-invasive, cognitive computerized test using 3D virtual environments for detecting key dementia symptoms.
• To evaluate the efficacy of this VR system in diagnosing dementia, mild cognitive impairment (MCI), and cognitive health.

Main Methods:

• A novel VR-based cognitive test was developed, focusing on memory loss, visuospatial defects, and spatial navigation.
• The system was tested on 115 participants: 30 with dementia, 65 cognitively healthy, and 20 with MCI.
• Performance was compared against the traditional Mini-Cog test for cognitive impairment assessment.

Main Results:

• The VR system demonstrated lower scores for dementia patients compared to MCI and healthy controls, reflecting cognitive decline.
• Visuospatial and memory recall scores in the VR system accurately mirrored clinical diagnoses.
• High agreement was found between the VR system and standard methods (93-100% Kappa statistic).

Conclusions:

• The proposed VR cognitive test is a reliable and accurate tool for detecting dementia and differentiating cognitive states.
• This smart VR health technology offers a promising decision support system for neurological disease diagnosis.