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mHealth Research

Mobile Health (mHealth) is the use of mobile devices for better health care delivery. Under the lead of Prof. Walter Karlen we engage in various research initiatives to improve mHealth technologies and services. We develop personalized and efficient methods, devices and systems that can be used by anyone for health applications at the point-of-care. Our current focus is in three research areas, all funded through the Swiss National Science Foundation:

Biomedical Sensors

Novel mHealth Sensors and Systems

Traditional bio-medical sensors cannot be directly implemented into mHealth. Often, these sensors are too costly, bulky or power hungry. We are researching new robust sensing approaches that can be miniaturized and embedded into mobile devices for point-of-care monitoring. Our research focuses on flexible sensor fusion approaches and strategies for successful medical imaging sensor implementation into the mHealth framework.

Medical Decision Support

Intelligent Diagnostics

The vast quantity of data available through mobile devices requires automated interpretation. We are expanding real-time physiological signal measurement and adaptive classification with context-awareness to obtain patient, disease, location, and care dependent diagnostic advice. Clinical recommendations and intelligent patient referral will be based on existing medical guidelines, patient status, user experience and available infrastructure. We aim to describe novel frameworks for providing robust clinical decision support within a dynamically changing environment.

Quality Control Framework

Quality Assurance in mHealth

mHealth data is highly susceptible to noise. We are researching a novel quality support engine that allows for the automated management of system integrity. This will combine user-centered aspects, like intuitive user interfaces and motivational feedback, with technology-centered aspects like real-time signal verification, implementation of security protocols, and modeling of errors while taking populations and individuals into account. This research will result in the description, implementation and evaluation of new approaches for automated control of data and system integrity in the home care setting.


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Thu Oct 27 00:57:33 CEST 2016
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