Preprint Article Version 1 This version is not peer-reviewed

Modeling and Analysis of the Self-powered Device for Wireless Heart Rate Measurement

Version 1 : Received: 23 July 2019 / Approved: 24 July 2019 / Online: 24 July 2019 (11:50:43 CEST)

How to cite: Aripriharta, A.; Muladi, M.; Mufti, N.; Zaeni, I.A.E.; Wirawan, I.M.; Horng, G. Modeling and Analysis of the Self-powered Device for Wireless Heart Rate Measurement. Preprints 2019, 2019070272 (doi: 10.20944/preprints201907.0272.v1). Aripriharta, A.; Muladi, M.; Mufti, N.; Zaeni, I.A.E.; Wirawan, I.M.; Horng, G. Modeling and Analysis of the Self-powered Device for Wireless Heart Rate Measurement. Preprints 2019, 2019070272 (doi: 10.20944/preprints201907.0272.v1).

Abstract

A new circuit model of the self-powered device for heart rate measurement is presented in this paper. This device consists of piezoelectric energy harvester (PEH), power management circuit (PMC) with energy storage, microcontroller, Photoplethysmography (PPG) sensor, and Wi-Fi module. The PEH is placed under the insole to harvest the pressure energy from human foot-step to generate ac power. In our model, a PEH is represented by sine voltage source, where its parameters were taken from experiments with 20 volunteers. The PMC is simplified by a switch with gain δ placed in series with the main circuit. The model of the main circuit is RC elements in parallel, where C is the capacitance of the storage device, and R is the equivalent parallel resistance of the microcontroller, PPG sensor, and Wi-Fi modules, respectively. The value of R depends on the power and current absorbed by those modules during sleep, deep sleep, sense, and transmit modes which collected from the datasheet. Finally, the proposed circuit model of the self-powered device was built and simulated in SPICE. The simulation results were compared with the laboratory experiment using commercial devices. Based on the results, the proposed model had small gaps compared to the real self-powered devices in terms of average current, voltage, power and efficiency.

Subject Areas

ambient human energy, piezoelectric energy harvester, RC circuit model, self-powered device, wireless PPG sensor

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