Physiological data processing

We develop algorithms for physiological signal analysis. These algorithms leverage our expertise on machine learning with the expertise of our clinical partners. Our main areas of expertise include automated detection of epileptic seizures, measurement of cognitive workload and classification of sleep apnea.

Our algorithms are often designed to leverage the cutting-edge computing technology developed by the lab making use of the in-house accelerators and memory and computing constraints of wearable devices.

	Bonsai: cough monitoring device
	DIGIPREDICT: multi-biosignals processing for cardiovascular conditions
	Efficient federated learning
	Incremental inference and learning
	Sparse sampling of bio-signals