Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/28443
Title: A hybrid optimal design strategy of wireless magnetic-resonant charger for deep brain stimulation devices
Authors: Zhang, X
Ho, SL 
Fu, WN 
Keywords: Biomedical implantable
Deep brain simulation
Optimal design
Wireless power transfer
Issue Date: 2013
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on magnetics, 2013, v. 49, no. 5, 6514610, p. 2145-2148 How to cite?
Journal: IEEE transactions on magnetics 
Abstract: A hybrid optimal design strategy for wireless magnetic-resonant charger of deep brain stimulation devices is presented. It is proposed that a differential evolution algorithm with discrete variables (turn numbers of coils) and constrains (induced current and voltage in the load loop) is used to design the wireless power transfer system. The variables which normally include the sizes of the load coil, receiver coil, transmitter coil, source coil and capacitances are analyzed in the optimization study. Analytical formulas are embedded in the numerical optimization to speed up the convergence of the searching process. The designed receiver can receive enough power to recharge a 3.7 V circular button-type nickel-metal hydride rechargeable battery which can be implanted into the patients' skull. The performance of the designed system has been verified experimentally.
URI: http://hdl.handle.net/10397/28443
ISSN: 0018-9464
EISSN: 1941-0069
DOI: 10.1109/TMAG.2013.2244585
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