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Battery optimization in smartphones for remote health monitoring systems to enhance user adherence

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Majid SarrafzadehAuthors Info & Claims

PETRA '14: Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments

Article No.: 8, Pages 1 - 4

https://doi.org/10.1145/2674396.2674407

Published: 27 May 2014 Publication History

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Abstract

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 prescribed medical regimens. In this paper we present a new battery optimization method that increases the battery lifetime 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%.

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Uday Kiran KSingh MSarfaraj Alam Ansari MChandra Govil M(2023)Deep Learning Approach to Recognize Yoga Posture for the Ailment of the Low Back PainProceedings of the 4th International Conference on Communication, Devices and Computing10.1007/978-981-99-2710-4_21(263-274)Online publication date: 28-Jul-2023
https://doi.org/10.1007/978-981-99-2710-4_21
Culman CAminikhanghahi SJ. Cook D(2020)Easing Power Consumption of Wearable Activity Monitoring with Change Point DetectionSensors10.3390/s2001031020:1(310)Online publication date: 6-Jan-2020
https://doi.org/10.3390/s20010310
Vetrovsky TSiranec MMarencakova JTufano JCapek VBunc VBelohlavek J(2019)Validity of six consumer-level activity monitors for measuring steps in patients with chronic heart failurePLOS ONE10.1371/journal.pone.022256914:9(e0222569)Online publication date: 13-Sep-2019
https://doi.org/10.1371/journal.pone.0222569
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Index Terms

Battery optimization in smartphones for remote health monitoring systems to enhance user adherence
1. Applied computing
  1. Life and medical sciences

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Published In

PETRA '14: Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments

May 2014

408 pages

ISBN:9781450327466

DOI:10.1145/2674396

Conference Chair:
Fillia Makedon
University of Texas at Arlington
,
Program Chairs:
Mark Clements
Georgia Institute of Technology
,
Catherine Pelachaud
TELECOM ParisTech, France
,
Vana Kalogeraki
Athens University of Economics and Bus
,
Ilias Maglogiannis
University of Piraeus, Greece

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 May 2014

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Research-article

Funding Sources

American Heart Association

Conference

PETRA '14

Sponsor:

iPerform Center
CSE@UTA
HERACLEIA
U of Tex at Arlington
NCRS
Fulbrigh, Greece

PETRA '14: The 7th International Conference on PErvasive Technologies Related to Assistive Environments

May 27 - 30, 2014

Rhodes, Greece

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Cited By

View all

Uday Kiran KSingh MSarfaraj Alam Ansari MChandra Govil M(2023)Deep Learning Approach to Recognize Yoga Posture for the Ailment of the Low Back PainProceedings of the 4th International Conference on Communication, Devices and Computing10.1007/978-981-99-2710-4_21(263-274)Online publication date: 28-Jul-2023
https://doi.org/10.1007/978-981-99-2710-4_21
Culman CAminikhanghahi SJ. Cook D(2020)Easing Power Consumption of Wearable Activity Monitoring with Change Point DetectionSensors10.3390/s2001031020:1(310)Online publication date: 6-Jan-2020
https://doi.org/10.3390/s20010310
Vetrovsky TSiranec MMarencakova JTufano JCapek VBunc VBelohlavek J(2019)Validity of six consumer-level activity monitors for measuring steps in patients with chronic heart failurePLOS ONE10.1371/journal.pone.022256914:9(e0222569)Online publication date: 13-Sep-2019
https://doi.org/10.1371/journal.pone.0222569
Xu YYin GLiu C(2019)Prognostics and Health Management of Electromedical Equipment Lithium BatteryProceedings of the 2019 International Conference on Artificial Intelligence and Computer Science10.1145/3349341.3349430(354-357)Online publication date: 12-Jul-2019
https://dl.acm.org/doi/10.1145/3349341.3349430
Azer MElShafee A(2019)Design and Implementation of Robust Firefighting/Intruder Detection System Using Fuzzy Logic Decision Control (FIDFUZ)2019 14th International Conference on Computer Engineering and Systems (ICCES)10.1109/ICCES48960.2019.9068159(151-157)Online publication date: Dec-2019
https://doi.org/10.1109/ICCES48960.2019.9068159
Alshurafa NSideris CPourhomayoun MKalantarian HSarrafzadeh MEastwood J(2017)Remote Health Monitoring Outcome Success Prediction Using Baseline and First Month Intervention DataIEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2016.251867321:2(507-514)Online publication date: Mar-2017
https://doi.org/10.1109/JBHI.2016.2518673
Pourhomayoun MAlshurafa NDabiri FYadav KSideris CTseng LGhasemzadeh HNyamathi ASarrafzadeh MMatekovits L(2016)A robust remote health monitoring and data processing system for rural area with limited internet accessProceedings of the 11th EAI International Conference on Body Area Networks10.5555/3068615.3068623(26-32)Online publication date: 15-Dec-2016
https://dl.acm.org/doi/10.5555/3068615.3068623
Kalantarian HSarrafzadeh M(2016)Pedometers Without Batteries: An Energy Harvesting ShoeIEEE Sensors Journal10.1109/JSEN.2016.2591331(1-1)Online publication date: 2016
https://doi.org/10.1109/JSEN.2016.2591331
Mortazavi BNemati EVanderWall KFlores-Rodriguez HCai JLucier JNaeim ASarrafzadeh M(2015)Can Smartwatches Replace Smartphones for Posture Tracking?Sensors10.3390/s15102678315:10(26783-26800)Online publication date: 22-Oct-2015
https://doi.org/10.3390/s151026783
Alshurafa NKalantarian HPourhomayoun MLiu JSarin SShahbazi BSarrafzadeh M(2015)Recognition of Nutrition Intake Using Time-Frequency Decomposition in a Wearable Necklace Using a Piezoelectric SensorIEEE Sensors Journal10.1109/JSEN.2015.240265215:7(3909-3916)Online publication date: Jul-2015
https://doi.org/10.1109/JSEN.2015.2402652
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