DocumentCode :
568570
Title :
An Integrated Mobile System for Long-Term Aerobic Activity Monitoring and Support in Daily Life
Author :
Reiss, Attila ; Stricker, Didier ; Lamprinos, Ilias
Author_Institution :
Dept. of Augmented Vision, German Res. Center of Artificial Intell. (DFKI), Kaiserslautern, Germany
fYear :
2012
fDate :
25-27 June 2012
Firstpage :
2021
Lastpage :
2028
Abstract :
This paper presents a mobile and unobtrusive platform that enables the accurate monitoring of physical activities in daily life, and is integrated into a healthcare system supporting out-of-hospital services. The main focus of the paper is to describe and evaluate a complete data processing chain for recognizing different activities, and estimating their intensity level. To develop a mobile platform that is more applicable in real-life scenarios than systems in previous work, an additional other activity class is introduced to deal with various everyday, household and fitness activities. Evaluation of the proposed methods is done on a dataset recorded by 9 subjects performing 16 different activities, while wearing the mobile platform consisting of three IMUs, a HR-monitor and a mobile companion unit. Another important aspect of this work is the integration of the mobile platform with an EHR, providing access for both the clinician (e.g. to enter a patient´s medical record or to set up a care plan) and the patient (e.g. to watch assigned educational material). Feedback about the patient´s daily progress is also given both to the patient and the clinician, preserving or even increasing the patient´s motivation to follow the defined care plan, and providing valuable information on program adherence for the clinician.
Keywords :
health care; medical information systems; mobile computing; data processing chain; healthcare system; integrated mobile system; long-term aerobic activity monitoring; mobile platform; out-of-hospital services; patients medical record; unobtrusive platform; Biomedical monitoring; Estimation; Heart rate; Legged locomotion; Mobile communication; Monitoring; Sensors; EHR; activity recognition; intensity estimation; machine learning; pervasive health; physical activity monitoring; ubiquitious system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Trust, Security and Privacy in Computing and Communications (TrustCom), 2012 IEEE 11th International Conference on
Conference_Location :
Liverpool
Print_ISBN :
978-1-4673-2172-3
Type :
conf
DOI :
10.1109/TrustCom.2012.81
Filename :
6296239
Link To Document :
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