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A new deep brain stimulation waveform based on PWM

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5 Author(s)
Ruofan Wang ; School of Electrical Engineering and Automation, Tianjin University, Tianjin, China 300072 ; Jiang Wang ; Yingyuan Chen ; Bin Deng
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This paper proposes a non-periodic shape optimization based on PWM principle to identify the optimal parameters of deep brain stimulation (DBS) waveforms. A computational model characterizing Parkinson's disease (PD) is introduced. When PWM DBS is injected into the networks, the tonic rhythm output of GPi neurons could restore the thalamic relay properties. By comparing with the periodic rectangular waveforms, we demonstrate the view that the PWM waveforms can not only guarantee the reliability, but also can decrease energy requirements of stimulation in vivo, that means, it can increase the lifetime of the DBS electrodes, decrease the stimulation-induced tissue damage, then improve the quality of life for PD patient.

Published in:

2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)  (Volume:4 )

Date of Conference:

15-17 Oct. 2011