Secure, Private and Efficient Healthcare with Wearable Computing

Start date 01/09/2015
End date The project is closed: 30/09/2016
Wearable devices create exciting opportunities for home monitoring of chronic/elderly patients and reduce the length/cost of hospitalization. However, the very same devices have weak security and scatter sensitive data. We envision that via advanced wireless technologies, wearable health monitoring devices can transmit data directly to a healthcare service provider (cloud), and receive commands from the cloud for device authentication, privacy protection and personalized healthcare treatments. The system can be very simple in its architecture, yet extremely powerful in its functionality. This project shall study the architecture and data analytics for such a system and focus on: (i) employing statistical methods and machine learning techniques to the collected data to extract its medical meaning; (ii) investigate efficient and privacy-preserving: authentication protocols and verifiable outsourcing/delegation of computations to the cloud. We shall approach this problem from a cross-disciplinary perspective and use advances from cryptography, and machine learning. We will employ a prototype system, called Cloud Sense for Health, to gather substantial healthcare data to support research in medicine and statistical learning.
Project Manager

Katerina Mitrokotsa, Chalmers University of Technology

The Swedish Foundation for International Cooperation in Research and Higher Education. (STINT)

Harvard University

Page manager Published: Tue 08 Dec 2015.