research-article

Smart-watch life saver: smart-watch interactive-feedback system for improving bystander CPR

Authors:

Agnes Gruenerbl,

Paul LukowiczAuthors Info & Claims

ISWC '15: Proceedings of the 2015 ACM International Symposium on Wearable Computers

Pages 19 - 26

https://doi.org/10.1145/2802083.2802086

Published: 07 September 2015 Publication History

Abstract

In this work a Smart-Watch application, that is able to monitor the frequency and depth of Cardiopulmonary Resuscitation (CPR) and provide interactive corrective feedback is described. We have evaluated the system with a total of 41 subjects who had undertaken a single episode of CPR training several years previously. This training was part of a First Aid course for lay people, commonly accessed in this population. The evaluation was conducted by measuring participant CPR competence using the "gold standard" of CPR training [10], namely frequency and compression depth. The evaluation demonstrated that the Smart Watch feedback system provided a significant improvement in the participant performance. For example, it doubled the number of people who could maintain bot the parameters in the recommended range for at least 50% of the time.

References

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Cited By

LaPrad AJoseph BChokshi SAldrich KKessler DOppenheimer B(2024)A Smartwatch-Based CPR Feedback Device Improves Chest Compression Quality Among Healthcare Professionals And Lay RescuersCardiovascular Digital Health Journal10.1016/j.cvdhj.2024.03.006Online publication date: Apr-2024
https://doi.org/10.1016/j.cvdhj.2024.03.006
Subhan FMirza ASu’ud MAlam MNisar SHabib UIqbal M(2023)AI-Enabled Wearable Medical Internet of Things in Healthcare System: A SurveyApplied Sciences10.3390/app1303139413:3(1394)Online publication date: 20-Jan-2023
https://doi.org/10.3390/app13031394
Lins CBerwald EKlausen AHein AFudickar SSilva SPaquete L(2023)EA-based smartwatch application for training and assistance in cardiopulmonary resuscitationProceedings of the Companion Conference on Genetic and Evolutionary Computation10.1145/3583133.3590752(735-738)Online publication date: 15-Jul-2023
https://dl.acm.org/doi/10.1145/3583133.3590752
Show More Cited By

Index Terms

Smart-watch life saver: smart-watch interactive-feedback system for improving bystander CPR
1. Applied computing
  1. Life and medical sciences

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Published In

cover image ACM Conferences

ISWC '15: Proceedings of the 2015 ACM International Symposium on Wearable Computers

September 2015

223 pages

ISBN:9781450335782

DOI:10.1145/2802083

General Chairs:
Kenji Mase
Nagoya University, JP
,
Marc Langheinrich
Università della Svizzera italiana (USI), CH
,
Daniel Gatica-Perez
IDIAP-EPFL, CH
,
Program Chairs:
Kristof Van Laerhoven,
Tsutomu Terada

Copyright © 2015 ACM.

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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Yahoo! Japan: Yahoo! Japan
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FX Palo Alto Laboratory, Inc.: FX Palo Alto Laboratory, Inc.
Google Inc.
ACM: Association for Computing Machinery
Rakuten Institute of Technology: Rakuten Institute of Technology
Microsoft: Microsoft
Bell Labs: Bell Laboratories
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
KDDI
Panasonic: Panasonic Corporation
NTT DoCoMo
Telefónica: Telefónica
ISTC-PC: Intel Science and Technology Center for Pervasive Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 September 2015

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European Commission

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UbiComp '15

Sponsor:

Yahoo! Japan
SIGMOBILE
FX Palo Alto Laboratory, Inc.
ACM
Rakuten Institute of Technology
Microsoft
Bell Labs
SIGCHI
Panasonic
Telefónica
ISTC-PC

UbiComp '15: The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 7 - 11, 2015

Osaka, Japan

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Cited By

LaPrad AJoseph BChokshi SAldrich KKessler DOppenheimer B(2024)A Smartwatch-Based CPR Feedback Device Improves Chest Compression Quality Among Healthcare Professionals And Lay RescuersCardiovascular Digital Health Journal10.1016/j.cvdhj.2024.03.006Online publication date: Apr-2024
https://doi.org/10.1016/j.cvdhj.2024.03.006
Subhan FMirza ASu’ud MAlam MNisar SHabib UIqbal M(2023)AI-Enabled Wearable Medical Internet of Things in Healthcare System: A SurveyApplied Sciences10.3390/app1303139413:3(1394)Online publication date: 20-Jan-2023
https://doi.org/10.3390/app13031394
Lins CBerwald EKlausen AHein AFudickar SSilva SPaquete L(2023)EA-based smartwatch application for training and assistance in cardiopulmonary resuscitationProceedings of the Companion Conference on Genetic and Evolutionary Computation10.1145/3583133.3590752(735-738)Online publication date: 15-Jul-2023
https://dl.acm.org/doi/10.1145/3583133.3590752
Sandhu MKhalifa SPortmann MJurdak RSandhu MKhalifa SPortmann MJurdak R(2023)IntroductionSelf-Powered Internet of Things10.1007/978-3-031-27685-9_1(3-12)Online publication date: 17-Jun-2023
https://doi.org/10.1007/978-3-031-27685-9_1
Hermann SRöddiger TBeigl M(2022)Towards Detecting Complete Chest Recoil from Smartphone Vibration Strength during Cardiopulmonary ResuscitationProceedings of the 2022 ACM International Symposium on Wearable Computers10.1145/3544794.3558472(103-105)Online publication date: 11-Sep-2022
https://dl.acm.org/doi/10.1145/3544794.3558472
Lan BWu FCheng YZhou YHossain GGrabher GShi LWang RSun J(2022)Scalable, stretchable and washable triboelectric fibers for self-powering human-machine interaction and cardiopulmonary resuscitation trainingNano Energy10.1016/j.nanoen.2022.107737102(107737)Online publication date: Nov-2022
https://doi.org/10.1016/j.nanoen.2022.107737
Boumpa ETsoukas VGkogkidis ASpathoulas GKakarountas A(2022)Security and Privacy Concerns for Healthcare Wearable Devices and Emerging Alternative ApproachesWireless Mobile Communication and Healthcare10.1007/978-3-031-06368-8_2(19-38)Online publication date: 7-Jun-2022
https://doi.org/10.1007/978-3-031-06368-8_2
Ahn CLee SLee JOh JSong YKim IKang H(2021)Impact of a Smart-Ring-Based Feedback System on the Quality of Chest Compressions in Adult Cardiac Arrest: A Randomized Preliminary StudyInternational Journal of Environmental Research and Public Health10.3390/ijerph1810540818:10(5408)Online publication date: 19-May-2021
https://doi.org/10.3390/ijerph18105408
Akizuki KKoeda H(2021)Short-Term Learning Effects of a Cardiopulmonary Resuscitation Program with Focus on the Relationship between Learning Effect and Trainees’ Perceived CompetenceHealthcare10.3390/healthcare90505989:5(598)Online publication date: 18-May-2021
https://doi.org/10.3390/healthcare9050598
Birkun A(2021)Modern Technologies and Approaches to Organization of Theoretical and Practical Basic Resuscitation Training for the Lay PublicRussian Sklifosovsky Journal "Emergency Medical Care"10.23934/2223-9022-2021-10-2-357-36610:2(357-366)Online publication date: 24-Aug-2021
https://doi.org/10.23934/2223-9022-2021-10-2-357-366
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