Neurological Health

In an era where healthcare demands innovative diagnostic solutions, our research harnesses the power of advanced signal analysis to revolutionise patient care and monitoring. By applying cutting-edge AI techniques to acoustic and brain signals, we're developing novel methods to detect and track various health conditions.

Our work bridges the gap between non-invasive monitoring and clinical diagnostics. The implications of this research extend beyond traditional healthcare boundaries, potentially enabling early detection of health conditions, remote patient monitoring, and more accessible healthcare solutions for underserved communities.

Projects

• Speech analysis for neurological disorders
• Speech analysis for emotion recognition
• Digital transformation of mental health and facilitating tele-mental health services
• Motion-tolerant EEG measurements
• Wearable monitoring of anxiety therapies
• Reliable identification of concussion