Abstract
The aim of this literature review is to investigate enabling and constraining factors of wearable devices in healthcare. While offering patients a better quality of life as they may spend less time in hospitals, wearables can also play a key role in solving the current crises in the health sector. 1’195 articles were screened, and 41 papers in total were analyzed for the review. Most studies focused on product design, specifically user acceptance and user adaption. Some studies investigated how machine learning can improve the accuracy and reliability of wearables or focused on the quality of treatment and how wearables can improve a patient’s quality of life. However, one important aspect, how to handle big data issues like security and privacy for wearables is mostly neglected. Further research is required, dealing with the questions, how devices can become secure for patients and how the data of patients will not become accessible.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
NZZ, 2018 dürfte jede Person erstmals über 10 000 Franken für ihre Gesundheit ausgeben, 6/13/2017, https://www.nzz.ch/schweiz/gesundheitskosten-in-der-schweiz-2018-duerfte-jede-person-erstmals-ueber-10-000-franken-fuer-ihre-gesundheit-ausgeben-ld.1300609
T. Yilmaz, R. Foster, Y. Hao, Detecting vital signs with wearable wireless sensors. Sensors 10(12), 10837–10862 (2010)
Y. Gao, H. Li, Y. Luo, An empirical study of wearable technology acceptance in healthcare. Ind. Manag. & Data Syst. 115(9), 1704–1723 (2015)
E.L. Mahoney, D.F. Mahoney, Acceptance of wearable technology by people with Alzheimer’s disease: issues and accommodations. Am. J. Alzheimer’s Dis. Other Dement. 25(6), 527–531 (2010)
J. Clover, Study confirms apple watch can detect abnormal heart rhythm with 97% Accuracy. https://www.macrumors.com/2018/03/21/apple-watch-abnormal-heart-rhythm/
G.H. Tison, J.M. Sanchez, B. Ballinger et al., Passive detection of atrial fibrillation using a commercially available smartwatch. JAMA Cardiol. 3(5), 409 (2018)
K.E. Britton, J.D. Britton-Colonnese, Privacy and security issues surrounding the protection of data generated by continuous glucose monitors. J. Diabetes Sci. Technol. 11(2), 216–219 (2017)
M.M. Baig, H. GholamHosseini, A.A. Moqeem et al., A systematic review of wearable patient monitoring systems—current challenges and opportunities for clinical adoption. J. Med. Syst. 41(7), 115 (2017)
S. Patel, H. Park, P. Bonato et al., A review of wearable sensors and systems with application in rehabilitation. J. Neuroeng. Rehabil. 9, 21 (2012)
M. Schukat, D. McCaldin, K. Wang et al., Unintended consequences of wearable sensor use in healthcare. contribution of the IMIA wearable sensors in healthcare WG. Yearb. Med. Inform. 1, 73–86 (2016)
K.R. Evenson, M.M. Goto, R.D. Furberg, Systematic review of the validity and reliability of consumer-wearable activity trackers. Int. J. Behav. Nutr. Phys. Act. 12(1), e192 (2015)
L. Lee, S. Egelman, J.H. Lee, et al., Risk perceptions for wearable devices. 4/22/2015, http://arxiv.org/pdf/1504.05694v1
K.C. Preusse, T.L. Mitzner, C.B. Fausset et al., Older adults’ acceptance of activity trackers. J. Appl. Gerontol. 36(2), 127–155 (2017)
H.S. Koo, K. Fallon, Preferences in tracking dimensions for wearable technology. Int. J. Cloth. Sci. Technol. 29(2), 180–199 (2017)
J. Lee, D. Kim, H.-Y. Ryoo et al., Sustainable wearables: wearable technology for enhancing the quality of human life. Sustainability 8(5), 466 (2016)
S.J. Strath, T.W. Rowley, Wearables for promoting physical activity. Clin. Chem. 64(1), 53–63 (2018)
E. Park, K.J. Kim, S.J. Kwon, Understanding the emergence of wearable devices as next-generation tools for health communication. Inf. Technol. People 29(4), 717–732 (2016)
S.H. Koo, K. Fallon, Explorations of wearable technology for tracking self and others. Fashion and Textiles 5(1), 141 (2018)
M.M. Baig, H. Gholam Hosseini, M.J. Connolly, A comprehensive survey of wearable and wireless ECG monitoring systems for older adults. Med. & Biol. Eng. & Comput 51(5), 485–495 (2013)
U. Varshney, Pervasive healthcare and wireless health monitoring. Mob. Netw. Appl. 12(2–3), 113–127 (2007)
M. Blount, V.M. Batra, A.N. Capella et al., Remote health-care monitoring using personal care connect. IBM Syst. J. 46(1), 95–113 (2007)
P. Kostkova, H. Brewer, S. de Lusignan et al., Who owns the data? open data for healthcare. Front. Public Health 4, 7 (2016)
J. Sun, Y. Guo, X. Wang et al., mHealth for aging China: opportunities and challenges. Aging Dis. 7(1), 53–67 (2016)
J.J.P.C. Rodrigues, D.B. de Rezende Segundo, H.A. Junqueira, et al., Enabling technologies for the internet of health things. IEEE Access, 6, 13129–13141 (2018)
H.S. Koo, D. Michaelson, K. Teel et al., Design preferences on wearable e-nose systems for diabetes. Int. J. Cloth. Sci. Technol. 28(2), 216–232 (2016)
M. Zhang, A. Raghunathan, N.K. Jha, MedMon: securing medical devices through wireless monitoring and anomaly detection. IEEE Trans. Biomed. Circuits Syst. 7(6), 871–881 (2013)
Y. Liang, X. Zhou, Z. Yu et al., Energy-efficient motion related activity recognition on mobile devices for pervasive healthcare. Mob. Netw. Appl. 19(3), 303–317 (2014)
A.A. Uddin, P.P. Morita, K. Tallevi et al., Development of a wearable cardiac monitoring system for behavioral neurocardiac training: a usability study. JMIR mHealth and uHealth 4(2), e45 (2016)
R.L. Shinmoto Torres, R. Visvanathan, D. Abbott, et al., A battery-less and wireless wearable sensor system for identifying bed and chair exits in a pilot trial in hospitalized older people. PLoS ONE, 12(10) (2017)
N.C. Campling, D.G. Pitts, P.V. Knight et al., A qualitative analysis of the effectiveness of telehealthcare devices (i) are they meeting the needs of end-users? BMC Health Serv. Res. 17(1), 455 (2017)
J. Cancela, M. Pastorino, A. Tzallas et al., Wearability assessment of a wearable system for parkinson’s disease remote monitoring based on a body area network of sensors. Sensors 14(9), 17235–17255 (2014)
O. Aziz, S.N. Robinovitch, An analysis of the accuracy of wearable sensors for classifying the causes of falls in humans. IEEE Trans. Neural Syst. Rehabil. Eng. 19(6), 670–676 (2011)
M.A. Case, H.A. Burwick, K.G. Volpp et al., Accuracy of smartphone applications and wearable devices for tracking physical activity data. JAMA 313(6), 625 (2015)
O. Aziz, E.J. Park, G. Mori, et al., Distinguishing near-falls from daily activities with wearable accelerometers and gyroscopes using support vector machines, in Conference proceedings: … Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, vol. 2012 (2012) pp. 5837–5840
A.L. Silva de Lima, L.J.W. Evers, T. Hahn et al., Freezing of gait and fall detection in Parkinson’s disease using wearable sensors: a systematic review. J. Neurol. 264(8), 1642–1654 (2017)
C. Jayaraman, C.K. Mummidisetty, A. Mannix-Slobig et al., Variables influencing wearable sensor outcome estimates in individuals with stroke and incomplete spinal cord injury: a pilot investigation validating two research grade sensors. J. NeuroEngineering Rehabil. 15(1), 788 (2018)
C. Klersy, A. de Silvestri, G. Gabutti et al., A meta-analysis of remote monitoring of heart failure patients. J. Am. Coll. Cardiol. 54(18), 1683–1694 (2009)
J.H.M. Bergmann, A.H. McGregor, Body-worn sensor design: what do patients and clinicians want? Ann. Biomed. Eng. 39(9), 2299–2312 (2011)
N.D. Weinstein, Testing four competing theories of health-protective behavior, Health psychology: official journal of the division of health psychology. Am. Psychol. Assoc. 12(4), 324–333 (1993)
F. Axisa, P.M. Schmitt, C. Gehin, et al., Flexible technologies and smart clothing for citizen medicine, home healthcare, and disease prevention, in IEEE Transactions on Information Technology in Biomedicine: A Publication Of The IEEE Engineering in Medicine and Biology Society, vol. 9, no. 3. (2005), pp. 325–336
M. Suh, K.E. Carroll, E. Grant et al., Investigation into the feasibility of inductively coupled antenna for use in smart clothing. Int. J. Cloth. Sci. Technol. 26(1), 25–37 (2014)
L. Clifton, D.A. Clifton, M.A.F. Pimentel et al., Predictive monitoring of mobile patients by combining clinical observations with data from wearable sensors. IEEE J. Biomed. Health Inform. 18(3), 722–730 (2014)
A. Lymberis, Wearable smart systems: from technologies to integrated systems, in Conference Proceedings: … Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Annual Conference, vol. 2011 (2011), pp. 3503–3506
M.-H. Maras, Internet of things: security and privacy implications. Int. Data Priv. Law 5(2), 99–104 (2015)
H. Li, J. Wu, Y., Examining individuals’ adoption of healthcare wearable devices: an empirical study from privacy calculus perspective. Int. J. Med. Inform. 88, 8–17 (2016)
M. Milutinovic, B. de Decker, Ethical aspects in eHealth—design of a privacy-friendly system. J. Inf., Commun. Ethics Soc. 14(1), 49–69 (2016)
J. Couturier, D. Sola, G. Scarso Borioli, et al. How can the internet of things help to overcome current healthcare challenges (2012)
H.S. Ng, M.L. Sim, C.M. Tan, Security issues of wireless sensor networks in healthcare applications. BT Technol. J. 24(2), 138–144 (2006)
D. Sathya, P. Ganesh Kumar, Secured remote health monitoring system. Healthc. Technol. Lett. 4(6), 228–232 (2017)
M.A.D. Brodie, M.J.M. Coppens, S.R. Lord et al., Wearable pendant device monitoring using new wavelet-based methods shows daily life and laboratory gaits are different. Med. Biol. Eng. Compu. 54(4), 663–674 (2016)
M. Shin, Secure remote health monitoring with unreliable mobile devices. J. Biomed. & Biotechnol. 2012, 546021 (2012)
F.P. Wieringa, N.J.H. Broers, J.P. Kooman et al., Wearable sensors: can they benefit patients with chronic kidney disease? Expert Rev. Med. Devices 14(7), 505–519 (2017)
K.-Y. Lam, N.W.-H. Tsang, S. Han et al., Activity tracking and monitoring of patients with alzheimer’s disease. Multimed. Tools Appl. 76(1), 489–521 (2017)
M. Ehn, L.C. Eriksson, N. Åkerberg et al., Activity monitors as support for older persons’ physical activity in daily life: qualitative study of the users’ experiences. JMIR mHealth and uHealth 6(2), e34 (2018)
W.K. Lim, S. Davila, J.X. Teo et al., Beyond fitness tracking: The use of consumer-grade wearable data from normal volunteers in cardiovascular and lipidomics research. PLoS Biol. 16(2), e2004285 (2018)
M. Chen, Y. Ma, J. Song et al., Smart clothing: connecting human with clouds and big data for sustainable health monitoring. Mob. Netw. Appl. 21(5), 825–845 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Krey, M. (2020). Wearable Device Technology in Healthcare—Exploring Constraining and Enabling Factors. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Fourth International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 1041. Springer, Singapore. https://doi.org/10.1007/978-981-15-0637-6_1
Download citation
DOI: https://doi.org/10.1007/978-981-15-0637-6_1
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0636-9
Online ISBN: 978-981-15-0637-6
eBook Packages: EngineeringEngineering (R0)