Stroke symptom assessment

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NUH

Stroke is a leading cause of long-term disability, affecting almost 10,000 Singaporeans annually, but current methods for assessing post-stroke conditions such as dysmetria and are subjective, where it relies on a clinician’s judgement rather than objective data. This could lead to misdiagnoses and poorly optimised rehabilitation plans, which poses a significant problem for patients and healthcare providers. Our proposed approach is to leverage spatial computers as a medium to deploy an application that functions as a precision diagnostic instrument for assessing dysmetria, being a common post-stroke ailments. Through this project, we aim to create a user experience that seamlessly aids the workflow of a clinician, as well as the recovery process of a stroke patient.

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Stroke symptom assessment

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