HeMeS: Autonomous Health Monitoring Energy System Tool for Design of Self-Sustained WBANs


Sharone M., Muhtaroglu A.

6th International Conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2021, Oita, Kyushu, Japan, 25 - 27 November 2021, pp.22-29 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/iciibms52876.2021.9651647
  • City: Oita, Kyushu
  • Country: Japan
  • Page Numbers: pp.22-29
  • Keywords: Energy harvesting, energy harvesting system models, Piezoelectric harvesting, thermoelectric generation, WBAN power system modeling, WBANs

Abstract

© 2021 IEEE.Wearable body area networks (WBANs) are used to improve the quality of life in many ways. Health-monitoring WBANs have traditionally been powered using batteries that pose various sustainability problems. Batteries are not suitable for quasi-perpetual health monitoring, whereas energy harvesting from ambient nondepletable energy sources can be the gateway to true autonomy in sustainable WBAN s with unlimited capabilities. In this paper, a Health-Monitoring Energy System (HeMeS) tool is presented for unified electrical modeling to accurately analyze full energy flow in an autonomous WBAN node with a thermal-vibrational hybrid energy harvester. Analytical power generation, conversion and delivery models, environmental conditions, geometry, and load requirements are simultaneously incorporated to explore system design space for a variety of health-monitoring WBAN applications. The wholistic system approach in HeMeS opens up opportunities in applying creativity to identify a new set of biomedical aids that are also sustainable by design. The tool capabilities have been successfully demonstrated using a personal health monitoring system that incorporates pressure, acceleration, ECG sensing, and smart RFID features with a realistic activity model.