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IEEE-802.15.4-based low-power body sensor node with RF energy harvester

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 3rd International Conference on Biomedical Engineering and Biotechnology, 25–28 September 2014, Beijing, China

Article type: Research Article

Authors: Tran, Thang Viet | Chung, Wan-Young;

Affiliations: Department of Electronic Engineering, Pukyong National University, Busan 608-737, Korea

Note: [] Corresponding author: Wan-Young Chung, Department of Electronic Engineering, Pukyong National University, Busan 608-737, Korea. Tel.: +82-51-629-6223; Fax: +82-51-629-6210; E-mail: [email protected].

Keywords: Body sensor network, electrocardiography, photoplethysmography, low-power node, radio frequency energy harvester

DOI: 10.3233/BME-141176

Journal: Bio-Medical Materials and Engineering, vol. 24, no. 6, pp. 3503-3510, 2014

Published: 2014
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Abstract

This paper proposes the design and implementation of a low-voltage and low-power body sensor node based on the IEEE 802.15.4 standard to collect electrocardiography (ECG) and photoplethysmography (PPG) signals. To achieve compact size, low supply voltage, and low power consumption, the proposed platform is integrated into a ZigBee mote, which contains a DC-DC booster, a PPG sensor interface module, and an ECG front-end circuit that has ultra-low current consumption. The input voltage of the proposed node is very low and has a wide range, from 0.65 V to 3.3 V. An RF energy harvester is also designed to charge the battery during the working mode or standby mode of the node. The power consumption of the proposed node reaches 14 mW in working mode to prolong the battery lifetime. The software is supported by the nesC language under the TinyOS environment, which enables the proposed node to be easily configured to function as an individual health monitoring node or a node in a wireless body sensor network (BSN). The proposed node is used to set up a wireless BSN that can simultaneously collect ECG and PPG signals and monitor the results on the personal computer.

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