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A Wirelessly Powered Electro-Acupuncture Based on Adaptive Pulsewidth Monophase Stimulation

Cited 9 time in Web of Science Cited 10 time in Scopus
Authors

Song, Kiseok; Yan, Long; Lee, Seulki; Yoo, Jerald; Yoo, Hoi-Jun

Issue Date
2011-04
Publisher
Institute of Electrical and Electronics Engineers
Citation
IEEE Transactions on Biomedical Circuits and Systems, Vol.5 No.2, pp.138-146
Abstract
A wirelessly powered electro-acupuncture (EA) system with adaptive-pulsewidth (APW) monophase stimulation is presented for convenient invasive medicine. The proposed system removes cumbersome wires connected between EA nodes and an EA controller in order to realize both patients' convenience and remedial values simultaneously. An ultra-low-power stimulator integrated circuit (IC) that is integrated on the flexible- printed-circuit board (F-PCB) is attached to the tip of a needle electrode. Combined with a conductive yarn helical antenna wound around the needle electrode, the EA node receives wireless power from the EA controller using 433 MHz with the maximum loss of 6 dB. A zero-th nMOS rectifier harvests a supply voltage of 1.0 V from a -16-dBm incoming power signal with 32% efficiency. To deal with a body impedance variation (BIV) in the range of 100-200 k Omega, the proposed APW stimulator IC, fabricated in a 0.18-mu m 1P6M complementary metal-oxide semiconductor CMOS process and occupying 1.56 mm(2), enables constant charge injection of 80-nC/stimulation. To ensure the patients' safety, the EA node (a pair of EAs) shares ground and clock wires to operate in alternate monophase (AMP) fashion for neutralizing the injected charge. The proposed wirelessly powered EA node was verified by applying it to a chunk of pork as a body model with the wireless power supplied from an RF signal generator (output power of 10 dBm and located 30 cm away).
ISSN
1932-4545
URI
https://hdl.handle.net/10371/200846
DOI
https://doi.org/10.1109/TBCAS.2011.2144592
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Yoo, Jerald유담
부교수
  • College of Engineering
  • Department of Electrical and Computer Engineering
Research Area Biomedical Applications, Energy-Efficient Integrated Circuits

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