TY - GEN
T1 - Battery optimization in smartphones for remote health monitoring systems to enhance user adherence
AU - Alshurafa, Nabil
AU - Eastwood, Joann
AU - Nyamathi, Suneil
AU - Xu, Wenyao
AU - Liu, Jason J.
AU - Sarrafzadeh, Majid
AU - Pourhomayoun, Mohammad
AU - Ghasemzadeh, Hassan
N1 - Publisher Copyright:
Copyright 2014 ACM.
PY - 2014/5/27
Y1 - 2014/5/27
N2 - Remote health monitoring (RHM) can help save the cost burden of unhealthy lifestyles. Of increased popularity is the use of smartphones to collect data, measure physical activity, and provide coaching and feedback to users. One challenge with this method is to improve adherence to pre- scribed medical regimens. In this paper we present a new battery optimization method that increases the battery life- time of smartphones which monitor physical activity. We designed a system, WANDA-CVD, to test our battery optimization method. The focus of this report describes our in-lab pilot study and a study aimed at reducing cardiovascular disease (CVD) in young women, the Women's Heart Health study. Conclusively, our battery optimization technique improved battery lifetime by 300%. This method also increased participant adherence to the remote health monitoring system in the Women's Heart Health study by 53%.
AB - Remote health monitoring (RHM) can help save the cost burden of unhealthy lifestyles. Of increased popularity is the use of smartphones to collect data, measure physical activity, and provide coaching and feedback to users. One challenge with this method is to improve adherence to pre- scribed medical regimens. In this paper we present a new battery optimization method that increases the battery life- time of smartphones which monitor physical activity. We designed a system, WANDA-CVD, to test our battery optimization method. The focus of this report describes our in-lab pilot study and a study aimed at reducing cardiovascular disease (CVD) in young women, the Women's Heart Health study. Conclusively, our battery optimization technique improved battery lifetime by 300%. This method also increased participant adherence to the remote health monitoring system in the Women's Heart Health study by 53%.
KW - Power optimization
KW - Remote health monitoring
KW - User adherence
UR - http://www.scopus.com/inward/record.url?scp=84939222628&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84939222628&partnerID=8YFLogxK
U2 - 10.1145/2674396.2674407
DO - 10.1145/2674396.2674407
M3 - Conference contribution
AN - SCOPUS:84939222628
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2014
PB - Association for Computing Machinery
T2 - 7th ACM International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2014
Y2 - 27 May 2014 through 30 May 2014
ER -