基于PWM思想的深度脑刺激波形成型方案

计算机工程与应用 ›› 2015, Vol. 51 ›› Issue (16): 259-264.

基于PWM思想的深度脑刺激波形成型方案

陈颖源1，李会艳2，王若凡1，王　　江1，王法光3

1.天津大学电气与自动化工程学院，天津 300072
2.天津职业技术师范大学自动化与电气工程学院，天津 300222
3.温州市计量技术研究院，浙江温州 325001

出版日期:2015-08-15 发布日期:2015-08-14

Waveform scheme of deep brain stimulation based on principle of PWM

CHEN Yingyuan1, LI Huiyan2, WANG Ruofan1, WANG Jiang1, WANG Faguang3

1.School of Electrical Engineering ＆ Automation, Tianjin University, Tianjin 300072, China
2.School of Automation ＆ Electrical Engineering, Tianjin University of Technology ＆ Education, Tianjin 300222, China
3.Wenzhou Institute of Measurement Technology, Wenzhou, Zhejiang 325001, China

Online:2015-08-15 Published:2015-08-14

摘要/Abstract

摘要： 为寻找新型的深度脑刺激（DBS）刺激波形和简化DBS参数设置，提出基于脉宽调制PWM思想调制DBS波形的方案。利用正弦波等效的PWM（SPWM）形成一种新的DBS波形，并通过帕金森病网络模型验证了SPWM DBS的作用效果。仿真结果显示SPWM DBS与普通的周期性脉冲DBS作用效果一致，使帕金森病的病态放电恢复正常。SPWM调制波幅值是影响SPWM DBS作用效应的关键参数，通过调整调制波幅值可以优化DBS的能量。

关键词: 帕金森病, 深度脑刺激（DBS）, 脉宽调制（PWM）, 波形优化

Abstract: In order to search new Deep Brain Stimulation（DBS） waveform and simplify the process in setting DBS parameters, a scheme that modulated the DBS waveform based on the principle of pulse width modulation（PWM） is proposed. A new DBS waveform is made by Sinusoidal PWM（SPWM） and a neuronal network model of Parkinson’s disease is introduced to test the effects of this SPWM DBS. Simulation results show that the effects of this SPWM DBS are identical to that of the periodic pulse DBS and can restore the pathological firing patterns from Parkinsonian state back to normal. The modulated wave amplitude of SPWM, through which DBS energy can be optimized, is the key parameter that influences the effects of SPWM DBS.

Key words: Parkinson’s disease, Deep Brain Stimulation（DBS）, Pulse Width Modulation（PWM）；waveform optimization

陈颖源1，李会艳2，王若凡1，王　　江1，王法光3. 基于PWM思想的深度脑刺激波形成型方案[J]. 计算机工程与应用, 2015, 51(16): 259-264.

CHEN Yingyuan1, LI Huiyan2, WANG Ruofan1, WANG Jiang1, WANG Faguang3. Waveform scheme of deep brain stimulation based on principle of PWM[J]. Computer Engineering and Applications, 2015, 51(16): 259-264.

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