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Distinction of an Assortment of Deep Brain Stimulation Parameter Configurations for Treating Parkinson’s Disease Using Machine Learning with Quantification of Tremor Response through a Conformal Wearable and Wireless Inertial Sensor

机译：利用机器学习通过全格式可穿戴和无线惯性传感器测量震颤响应的机器学习，各种深脑刺激参数配置的区别

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Robert LeMoyne; Timothy Mastroianni; Donald Whiting; Nestor Tomycz;
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1. Distinction of an Assortment of Deep Brain Stimulation Parameter Configurations for Treating Parkinson’s Disease Using Machine Learning with Quantification of Tremor Response through a Conformal Wearable and Wireless Inertial Sensor [J] . Robert LeMoyne, Timothy Mastroianni, Donald Whiting, Advances in Parkinson s Disease . 2020,第3期

机译：利用机器学习通过全格式可穿戴和无线惯性传感器测量震颤响应的机器学习，各种深脑刺激参数配置的区别
2. Distinction of an Assortment of Deep Brain Stimulation Parameter Configurations for Treating Parkinson’s Disease Using Machine Learning with Quantification of Tremor Response through a Conformal Wearable and Wireless Inertial Sensor [J] . Robert LeMoyne, Timothy Mastroianni, Donald Whiting, 帕金森（英文） . 2020,第003期

机译：通过使用适形可穿戴和无线惯性传感器对震颤反应进行量化的机器学习，来区分用于治疗帕金森氏病的各种深部脑刺激参数配置
3. Preliminary Network Centric Therapy for Machine Learning Classification of Deep Brain Stimulation Status for the Treatment of Parkinson’s Disease with a Conformal Wearable and Wireless Inertial Sensor [J] . Robert LeMoyne, Timothy Mastroianni, Donald Whiting, Advances in Parkinson s Disease . 2019,第4期

机译：初步的网络中心疗法用于机学习的深部脑刺激状态分类，以适形可穿戴无线惯性传感器治疗帕金森氏病
4. Parametric evaluation of deep brain stimulation parameter configurations for Parkinson’s disease using a conformal wearable and wireless inertial sensor system and machine learning [C] . Robert LeMoyne, Timothy Mastroianni, Donald Whiting, Annual International Conference of the IEEE Engineering in Medicine and Biology Society . 2020

机译：使用保形可穿戴无线惯性传感器系统和机器学习对帕金森氏病的深部脑刺激参数配置进行参数评估
5. Design of an ON-OFF closed loop Deep Brain Stimulator for Parkinson's Disease and Essential Tremor. [D] . Basu, Ishita. 2012

机译：用于帕金森氏病和原发性震颤的ON-OFF闭环深度脑刺激器的设计。
6. Classification of Parkinson’s disease and essential tremor based on balance and gait characteristics from wearable motion sensors via machine learning techniques: a data-driven approach [O] . Sanghee Moon, Hyun-Je Song, Vibhash D. Sharma, 2020

机译：根据可穿戴运动传感器的平衡和步态特性通过机器学习技术对帕金森病和基本震颤的分类：数据驱动方法
7. Preliminary Network Centric Therapy for Machine Learning Classification of Deep Brain Stimulation Status for the Treatment of Parkinson’s Disease with a Conformal Wearable and Wireless Inertial Sensor [O] . Robert LeMoyne, Timothy Mastroianni, Donald Whiting, 2019

机译：初步网络以机械学习分类为中心疗法，深脑刺激状态治疗帕金森病，具有保形可穿戴和无线惯性传感器

Distinction of an Assortment of Deep Brain Stimulation Parameter Configurations for Treating Parkinson’s Disease Using Machine Learning with Quantification of Tremor Response through a Conformal Wearable and Wireless Inertial Sensor

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