Prof. Dr. Christian Holz

Area of Research

Description of Research Interest

Continuous physiological sensing using unobtrusive and passive sensors, such as small custom-built wearable devices, watches, glasses, patches, tattoos, or mobile devices. Focusing on tracking vital signs, detecting, and predicting cardiovascular and pulmonary conditions, including daytime and nocturnal hypertension, orthostatic hypotension, asthma, COPF, CF, and sleep apnea.

A parallel thread investigates mitigating intentional tremors in Parkinson's patients through wearable devices as well as studying their effectiveness in patients.

Special Expertise

Usable devices for passive data collection
Continuous data acquisition and correlations with activities
Embedded and low-resource platforms

Shareable Platforms, Services, Equipment & Infrastructure

Wearable sensors and actuators
Real-time signal processing and event detection
Embedded machine learning and classification techniques