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16558 Personalized feedback based on automatic activity recognition from mixed-source raw sensor data
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op den Akker, H. and Jones, V.M. and Hermens, H.J. (2009) Personalized feedback based on automatic activity recognition from mixed-source raw sensor data. In: AIME (Artificial Intelligence In Medicine) 2009 International Workshop on Intelligent Data Analysis in Biomedicine and Pharmacology, 19-Jul 2009, Verona, Italy. pp. 65-66. Universita degli Studi di Verona. ISBN not assigned

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Abstract

We present a data set consisting of multiple wireless sensors
that monitor movement and various types of bio signals,
recorded from patients that suffer from Chronic Obstructive
Pulmonary Disease (COPD). From this data, the
goal is to derive appropriate feedback to the patient that
will motivate them to achieve a healthy lifestyle and a good
phyisical condition.

Item Type:Conference or Workshop Paper (Extended Abstract, Talk)
Research Group:EWI-BSS: Biomedical Signals and Systems
Research Program:CTIT-ASSIST: Applied Science of Services for Information Society Technologies
Research Project:MYOTEL: MYOfeedback based TELetreatment service
ID Code:16558
Status:Published
Deposited On:26 November 2009
Refereed:Yes
International:Yes
More Information:statisticsmetis

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