nn7b02975_si_001.pdf (887.68 kB)
Triboelectric Nanogenerator Enabled Body Sensor Network for Self-Powered Human Heart-Rate Monitoring
journal contribution
posted on 2017-08-14, 00:00 authored by Zhiming Lin, Jun Chen, Xiaoshi Li, Zhihao Zhou, Keyu Meng, Wei Wei, Jin Yang, Zhong Lin WangHeart-rate
monitoring plays a critical role in personal healthcare
management. A low-cost, noninvasive, and user-friendly heart-rate
monitoring system is highly desirable. Here, a self-powered wireless
body sensor network (BSN) system is developed for heart-rate monitoring via integration of a downy-structure-based triboelectric
nanogenerator (D-TENG), a power management circuit, a heart-rate sensor,
a signal processing unit, and Bluetooth module for wireless data transmission.
By converting the inertia energy of human walking into electric power,
a maximum power of 2.28 mW with total conversion efficiency of 57.9%
was delivered at low operation frequency, which is capable of immediately
and sustainably driving the highly integrated BSN system. The acquired
heart-rate signal by the sensor would be processed in the signal process
circuit, sent to an external device via the Bluetooth
module, and displayed on a personal cell phone in a real-time manner.
Moreover, by combining a TENG-based generator and a TENG-based sensor,
an all-TENG-based wireless BSN system was developed, realizing continuous
and self-powered heart-rate monitoring. This work presents a potential
method for personal heart-rate monitoring, featured as being self-powered,
cost-effective, noninvasive, and user-friendly.
History
Usage metrics
Keywords
BSN systemBluetooth modulesignal process circuitself-powered heart-rate monitoringD-TENGSelf-Powered Human Heart-Rate Monitoring Heart-rate monitoringbody sensor networkpower management circuitTriboelectric Nanogenerator Enabled Body Sensor Networksignal processing unitheart-rate monitoringdowny-structure-based triboelectric nanogeneratoruser-friendly heart-rate monitoring system
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC