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http://dx.doi.org/10.5762/KAIS.2017.18.5.86

Development Of Fuzzy Logic Based Wristband For Healthcare  

Hwang, Heesoo (Department of Electrical and Electronic Engineering, Halla University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.18, no.5, 2017 , pp. 86-92 More about this Journal
Abstract
As the elderly population increases, real-time personal health monitoring is gaining new ground with advances in wireless communications. Such an approach is particularly beneficial to elderly and physically challenged people, as well as those who live alone and are not be able to seek help in case of medical emergencies. The aim of this study is to implement a wearable band which monitors personal vital signs, such as the body temperature and heart rate, and assists with healthcare decisions using a fuzzy logic based decision support system. Since the vital sign data measured from sensors are imprecise and their normal variation with age is nonlinear and not crisp, a fuzzy system is employed to deal with this imprecise or uncertain information. The proposed wearable band is designed to continuously capture and transmit vital signs and healthcare decisions to suitable apps developed for smartphones. In this way, health alerts can be sent to the guardian or caregiver who is registered in the apps.
Keywords
Body Temperature; Fuzzy-Logic; Heart-Rate; Heathcare-Band; Vital Signs;
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1 Prakashgoud Patil, et al., "Fuzzy Logic Based Health Care System Using Wireless Body Area Network," Int. Journal of Computer Applications, vol. 80, no. 12, pp. 46-51, Oct. 2013. DOI: https://doi.org/10.5120/13917-1881   DOI
2 Norris P. R., "Toward New Vital Signs: Tools and Methods for Physiological Data Capture, Analysis, and Decision Support in Critical Care," PhD Thesis, Graduate School of Vanderbilt University, 2006.
3 Harries A. D., et al., "The Vital Signs of Chronic Disease Management," Trans. of The Royal Society of Tropical Medicine and Hygiene, vol. 103, no. 6, pp. 537-540, 2009. DOI: https://doi.org/10.1016/j.trstmh.2008.12.008   DOI
4 Patrick Davies, et al., "The relationship between body temperature, heart rate and respiratory rate in children," Emergency Medicine Journal, vol. 26, pp. 641-643, Oct. 2009. DOI: https://doi.org/10.1136/emj.2008.061598   DOI
5 Zadeh LA., The birth and evolution of fuzzy logic, International Journal of General Systems, vol. 17, no. 2, pp. 95-105, 1990. DOI: https://doi.org/10.1080/03081079008935102   DOI
6 Heesoo Hwang, "Automatic Design of Fuzzy Rule Base for Modeling and Control Using Evolutionary Programming," IEE Proc. Part D, vol. 146, no. 1, pp. 9-16, Jan. 1999. DOI: https://doi.org/10.1049/ip-cta:19990087   DOI
7 Cicilia RML., et al., "A Fuzzy Model for Processing and Monitoring Vital Signs in ICU Patients," BioMedical Engineering, vol. 10, no. 68, 2011. DOI: http://dx.doi.org/10.1186/1475-925X-10-68   DOI
8 Ostchega, Y. et al., "Resting Pulse Rate Reference Data for Childern, Adolescents, and Adults: United States, 1999-2008," National Health Statistics Reports, no. 41, pp. 1-17, National Center for Health Statistics, 2011.
9 MedGuidance, Medical Information, Health News & Tools, 2014, http://www.medguidance.com/thread/Normal-Body-Temperature.html, Nov. 24.
10 Lois White, Gena Duncan, Wendy Baumle, Foundation of Basic Nursing, Chapter 26 Vital Sign Assessment, 2011.
11 Shohas Dutta, Anthony Maeder, Jim Basilakis, "Using Fuzzy Logic for Decision Support in Vital Signs Monitoring," Joint Proc. -AIH2013/CARE2013, pp. 29-33, 2013.
12 Kajal Singh, Divya Sharma, and Shipra Aggarwal, "A Real Time Patient Monitoring System Based on Artificial Neural Fuzzy Inference System," Int. J. of Computer Applications, vol. 146, no. 15, pp. 22-28, 2016. DOI: https://doi.org/10.5120/ijca2016910959   DOI
13 Anuradha Rangarajan, "Review: Emerging Trends in Healthcare Adoption of Wireless Body Area Networks," Biomedical Instrumentation & Technology, pp. 264-276, July Aug. 2016. DOI: https://doi.org/10.2345/0899-8205-50.4.264   DOI
14 World Health Organization. Sept. 2014. Facts about ageing, http://www.who.int/ageing/about/facts/en/