Music-based GCNN for Cardiovascular Diagnostics

Our research has revealed how music engagement augments autonomic differences, aiding cardiovascular diagnosis. An algorithm has been designed to classify hypertensive and normotensive individuals and tested on a gender-balanced dataset. We have a portable and cost-effective prototype that can provide diagnosis anytime, anywhere.

Applications include the diagnosing of cardiovascular conditions whilst listening to music at the clinic or hospital, and early detection of hypertension whilst listening to music via in-ear headphones with physiological sensors in the home or during everyday activities.

A patent has been filed and we are seeking commercial partners and licensing.

See further information on inpart

Photo source: Dragana Gordic, https://stock.adobe.com/uk/473304207, stock.adobe.com


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