Multi-disease Deep Brain Stimulation.
Multi-disease Deep Brain Stimulation.
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DOI：
10.1109/access.2020.3041942
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Kouzani AZ
中科院分区：
文献类型：
--
作者：
Parastarfeizabadi M;Sillitoe RV;Kouzani AZ
目前的闭环深部脑刺激（DBS）设备通常可以治疗一种疾病。本文介绍了一种多疾病闭环DBS装置的设计和评估，该装置可以感知多种脑生物标志物，检测疾病，并根据疾病状态自适应地传递电刺激脉冲。该装置包括：(i)神经传感器，（ii）涉及特征提取器、疾病分类器和控制策略的控制器，以及（iii）神经刺激器。神经传感器通过两个低频和高频通道记录和处理来自大脑内部的局部场电位和峰值。特征提取器对神经传感器的输出进行数字处理，并提取五种潜在的生物标志物：α、β、慢伽马、高频振荡和尖峰。疾病分类器通过分析生物标志物的振幅特征来识别神经系统疾病的类型。控制策略考虑疾病状态并向神经刺激器提供刺激设置。疾病分类器和控制策略都是基于模糊算法。神经刺激器根据控制命令产生电刺激脉冲，并将其传递到大脑的目标区域。该装置可以产生具有特定幅度、频率和持续时间的电流刺激脉冲。该装置的最大半径为15mm。包括电路板、电池和电池座在内的总重量为5.1克。通过六次台架实验和体外实验对该集成装置的性能进行了评价。对实验结果进行了介绍、分析和讨论。使用代表正常、癫痫、抑郁和PD状态的正弦、正常预记录和病变神经信号进行了6个实验室和体外实验。实验结果表明，该系统具有良好的神经感知、分类、控制和神经刺激性能。
Current closed-loop deep brain stimulation (DBS) devices can generally tackle one disorder. This paper presents the design and evaluation of a multi-disease closed-loop DBS device that can sense multiple brain biomarkers, detect a disorder, and adaptively deliver electrical stimulation pulses based on the disease state. The device consists of: (i) a neural sensor, (ii) a controller involving a feature extractor, a disease classifier, and a control strategy, and (iii) neural stimulator. The neural sensor records and processes local field potentials and spikes from within the brain using two low-frequency and high-frequency channels. The feature extractor digitally processes the output of the neural sensor, and extracts five potential biomarkers: alpha, beta, slow gamma, high-frequency oscillations, and spikes. The disease classifier identifies the type of the neurological disorder through an analysis of the biomarkers’ amplitude features. The control strategy considers the disease state and supplies the stimulation settings to the neural stimulator. Both the disease classifier and control strategy are based on fuzzy algorithms. The neural stimulator generates electrical stimulation pulses according to the control commands, and delivers them to the target area of the brain. The device can generate current stimulation pulses with specific amplitude, frequency, and duration. The fabricated device has the maximum radius of 15 mm. Its total weight including the circuit board, battery and battery holder is 5.1 g. The performance of the integrated device has been evaluated through six bench and in-vitro experiments. The experimental results are presented, analyzed, and discussed. Six bench and in-vitro experiments were conducted using sinusoidal, normal pre-recorded, and diseased neural signals representing normal, epilepsy, depression and PD conditions. The results obtained through these tests indicate the successful neural sensing, classification, control, and neural stimulating performance.
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DOI：
10.3233/jpd-171077
发表时间：
2017
期刊：
Journal of Parkinson's disease
影响因子：
--
作者：
Dayal V;Limousin P;Foltynie T
通讯作者：
Foltynie T
影响因子：
4
作者：
Chaturvedi A;Luján JL;McIntyre CC
通讯作者：
McIntyre CC
晚期帕金森病的自适应深脑刺激。
影响因子：
11.2
作者：
Little, Simon;Pogosyan, Alex;Neal, Spencer;Zavala, Baltazar;Zrinzo, Ludvic;Hariz, Marwan;Foltynie, Thomas;Limousin, Patricia;Ashkan, Keyoumars;FitzGerald, James;Green, Alexander L.;Aziz, Tipu Z.;Brown, Peter
通讯作者：
Brown, Peter
影响因子：
4.1
作者：
Bledsoe JM;Kimble CJ;Covey DP;Blaha CD;Agnesi F;Mohseni P;Whitlock S;Johnson DM;Horne A;Bennet KE;Lee KH;Garris PA
通讯作者：
Garris PA
DOI：
10.1111/ner.12297
发表时间：
2015-07
期刊：
Neuromodulation : journal of the International Neuromodulation Society
影响因子：
--
作者：
Beudel M;Little S;Pogosyan A;Ashkan K;Foltynie T;Limousin P;Zrinzo L;Hariz M;Bogdanovic M;Cheeran B;Green AL;Aziz T;Thevathasan W;Brown P
通讯作者：
Brown P