A New Deep Brain Stimulation Waveform Based on PWM
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 Parkinsons 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.
Parkinsons disease (PD) deep brain stimulation (DBS) optimization PWM waveform energy consumption
Ruofan Wang Jiang Wang Yingyuan Chen Bin Deng Xile Wei
School of Electrical Engineering and Automation Tianjin University Tianjin, China 300072
国际会议
上海
英文
1827-1831
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）