Research on Effect Index of Closed-loop Deep Brain Stimulation in Parkinson's Disease Based on Model

ZHAO Dechun; CHEN Huan; SHEN Lihao; JIAO Shuyang; JIANG Yuhao

doi:10.11999/JEIT211516

Volume 45 Issue 2

Feb. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(2): 680-688

ZHAO Dechun, CHEN Huan, SHEN Lihao, JIAO Shuyang, JIANG Yuhao. Research on Effect Index of Closed-loop Deep Brain Stimulation in Parkinson's Disease Based on Model[J]. Journal of Electronics & Information Technology, 2023, 45(2): 680-688. doi: 10.11999/JEIT211516

Citation:

ZHAO Dechun, CHEN Huan, SHEN Lihao, JIAO Shuyang, JIANG Yuhao. Research on Effect Index of Closed-loop Deep Brain Stimulation in Parkinson's Disease Based on Model[J]. Journal of Electronics & Information Technology, 2023, 45(2): 680-688. doi: 10.11999/JEIT211516

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Research on Effect Index of Closed-loop Deep Brain Stimulation in Parkinson's Disease Based on Model

doi: 10.11999/JEIT211516

1.
School of Biomedical Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
School of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Funds: The Natural Science Foundation of Chongqing (cstc2018jcyjAX0163, cstc2019jcyj-msxmX0275), China Postdoctoral Science Foundation (2021MD703941)

Received Date: 2021-12-15
Accepted Date: 2022-03-03
Rev Recd Date: 2022-02-24

Available Online: 2022-03-08

Publish Date: 2023-02-07

Abstract

Abstract

With the continuous improvement of the aging population, Parkinson’s Disease (PD) that is more prevalent in middle-aged and elderly people will put heavy burden on society. However, the stimulation effect evaluation index of model-based Deep Brain Stimulation (DBS) for PD is single and not intuitive. Therefore, a new index the Similar to Unified Parkinson Disease Rating Scale (UPDRS) Estimates (SUE) is proposed. The feasibility of the computational model and the closed-loop DBS algorithm is firstly verified according to the power changes of the β band (13～35 Hz). The distribution of β bursts in time domain is statistically analyzed, and is dichotomized into long and short bursts, then SUE is proposed. The experimental results show that SUE has a strong correlation with the duration of β bursts, the change of UPDRS under stimulated state and unstimulated state is well simulated, and a foundation for the future model-based closed-loop DBS research is laid.
- Computational model,
- Parkinson’s Disease(PD),
- Closed-loop Deep Brain Stimulation(DBS),
- β burst,
- Unified Parkinson Disease Rating Scale (UPDRS)

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References(27)

References

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