Remote Continuous Health Monitoring System using Wearable Sensors Networks and IoT
Keywords:
Healthcare, Wireless Sensor Networks, Cloud Computing, Body Area Networks, Wearable DevicesAbstract
The huge expanding of the more seasoned population, higher caliber of distant medical services and therapy is presently expected in the developing nations. This consideration is particularly vital for the nations with 75% of the older people experiencing ongoing illnesses. Additionally, long haul observing of patients is a test to numerous families in this period of family units. Wireless Sensor Network (WSN) is turning into a promising innovation for different genuine applications. The high level miniature electro-mechanical frameworks (MEMS) with the sensor innovation persistently screen the ailment of a patient that is known as Wireless Body Area Network (WBAN).It can commonly expand over the entire human body and the hubs are associated through a remote correspondence channel. The compound sensor nodes in WBAN are fit for testing, handling, and imparting at least one imperative signs, for example, pulse, oxygen immersion level, action etc. as well as the ecological factors such as humidity, temperature, light and location, etc. of a patient and information transferred to far away using cloud platform. Enhanced wearable devices and cloud access delivers solution to health care field. In this paper, alongside the indispensable boundaries, the fatigue level and ecological boundaries likewise estimated and are sent through fringe interface to a Microcontroller unit (MCU). MCU is answerable for adjusting and investigating the crude information to remove the oxygen immersion, pulse, and temperature data, and afterward diverting the indispensable boundaries into the LoRa and Bluetooth module. The remote Bluetooth and LoRa module communicates these indispensable boundaries to different terminals, for example, cell phones and laptops. Any IoT stage can be utilized to store and recover the information. In light of the qualities got, the sicknesses are analyzed by the specialists from a good ways and caution is shipped off the patient.The test results show that the framework is compelling and dependable for the assortment, transmission, and show of ECG information continuously for the motivation behind tele monitoring of patients with coronary illness
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References
P. Verma and S. K. Sood, "Fog Assisted-IoT Enabled Patient Health Monitoring in Smart Homes," in IEEE Internet of Things Journal, vol. 5, no. 3, pp. 1789-1796, June 2018, doi: 10.1109/JIOT.2018.2803201
R. K. Pathinarupothi, P. Durga and E. S. Rangan, "IoT-Based Smart Edge for Global Health: Remote Monitoring with Severity Detection and Alerts Transmission," in IEEE Internet of Things Journal, vol. 6, no. 2, pp. 2449-2462, April 2019, doi: 10.1109/JIOT.2018.2870068.
G. Giorgi, A. Galli and C. Narduzzi, "Smartphone-based IOT systems for personal health monitoring," in IEEE Instrumentation & Measurement Magazine, vol. 23, no. 4, pp. 41-47, June 2020, doi: 10.1109/MIM.2020.9126070.
Coetzee, L and Eksteen, J., “Positioning internet of things application, and associated human behavioural changes in a developing context”, IST-Africa 2012 Conference Proceedings, Tanzania, 8-12 May 2012
F. Wu, J. Redouté and M. R. Yuce, "A Self-Powered Wearable Body Sensor Network System for Safety Applications," 2018 IEEE SENSORS, New Delhi, India, 2018, pp. 1-4, doi: 10.1109/ICSENS.2018.8589848.
Chaudhary, D. S. . (2022). Analysis of Concept of Big Data Process, Strategies, Adoption and Implementation. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 8(1), 05–08. https://doi.org/10.17762/ijfrcsce.v8i1.2065
Dinker, Smita, Anjali, Sharma and Sumit Kumar, “Body Sensor Networks: in the era of Big data and beyond”, International Journal of Advanced Research in Computer Science, Special Issue, Vol. 8 Issue 4, p113-119, 2017.
Kiran, M. S., & Yunusova, P. (2022). Tree-Seed Programming for Modelling of Turkey Electricity Energy Demand. International Journal of Intelligent Systems and Applications in Engineering, 10(1), 142–152. https://doi.org/10.18201/ijisae.2022.278
U. E. Bauer, P. A. Briss, R. A. Goodman and B. A. Bowman, "Prevention of chronic disease in the 21st century: Elimination of the leading preventable causes of premature death and disability in the USA", Lancet, vol. 384, no. 9937, pp. 45-52, 2014.
Meneses, B., E. L. Huamani, M. Yauri-Machaca, J. Meneses-Claudio, and R. Perez-Siguas. “Authentication and Anti-Duplication Security System for Visa and MasterCard Cards”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 10, no. 7, July 2022, pp. 01-05, doi:10.17762/ijritcc.v10i7.5558.
Wallace RB, Salive ME.,“The dimensions of multiple Chronic Conditions: Where do we go from here? A Commentary on the special collection of Preventing Chronic Disease”, Vol. 10, pp 1-5, 2013, DOI: http://dx.doi.org/10.5888/pcd10.130104.
Yamini G., Ganapathy G., “An Internet of Things Inspired Approach for Enhancing Reliability in Healthcare Monitoring”, 2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing,pp 155-168, 2020. https://doi.org/10.1007/978-3-030-47560-4_12
Amitrano, Federica; Coccia, Armando; Ricciardi, Carlo; Donisi, Leandro; Cesarelli, Giuseppe; Capodaglio, Edda M.; D’Addio, Giovanni., "Design and Validation of an E-Textile-Based Wearable Sock for Remote Gait and Postural Assessment" Sensors 2020, no. 22: 6691. https://doi.org/10.3390/s20226691.
El Attaoui, A., Hazmi, M., Jilbab, A. et al. Wearable Wireless Sensors Network for ECG Telemonitoring Using Neural Network for Features Extraction. Wireless PersCommun 111, 1955–1976 (2020)
Ee, Sun Jun; Tien Ming, JeshuaWoon; Yap, JiaSuan; Lee, Scott Chuen Yuen; tuz Zahra, Fatima , “ Active and Passive Security Attacks in Wireless Networks and Prevention Techniques”, TechRxiv. Preprint.https://doi.org/10.36227/techrxiv.12972857, 2020
BahaeAbidi, AbdelillahJilbab& El Haziti Mohamed (2020) Wireless body area networks: a comprehensive survey, Journal of Medical Engineering & Technology, 44:3, 97-107
Jung M. Digital health care and the fourth Industrial Revolution. Health Care Manag (Frederick) 2019; 38: 253–257
Usvyat L, Dalrymple LS, Maddux FW. Using technology to inform and deliver precise personalized care to patients with end-stage kidney disease. SeminNephrol 2018; 38: 418–425
Vasanthamani, S. (2020). A Study on Lifetime Enhancement and Reliability in Wearable Wireless Body Area Networks. In Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications (pp. 971-984). IGI Global.
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