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

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ISSN Print: 2169-9712
ISSN Online: 2169-9720
www.scirp.org/journal/apd
E-mail: apd@scirp.org

"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"
written by Robert LeMoyne, Timothy Mastroianni, Donald Whiting, Nestor Tomycz,
published by Advances in Parkinson's Disease, Vol.8 No.4, 2019

has been cited by the following article(s):

[1]	Therapeutic devices for motor symptoms in Parkinson's disease: Current progress and a systematic review of recent randomized controlled trials
	Frontiers in aging …, 2022

[2]	Applied Software Development with Python & Machine Learning by Wearable & Wireless Systems for Movement Disorder Treatment via Deep Brain …
	2021

[3]	An Evolutionary Perspective for Network Centric Therapy through Wearable and Wireless Systems for Reflex, Gait, and Movement Disorder Assessment with …
	2021

[4]	Distinction of an assortment of deep brain stimulation parameter configurations for treating Parkinson's disease using machine learning with quantification of …
	2020

[5]	Application of deep learning to distinguish multiple deep brain stimulation parameter configurations for the treatment of Parkinson's disease
	2020

[1]	Therapeutic Devices for Motor Symptoms in Parkinson’s Disease: Current Progress and a Systematic Review of Recent Randomized Controlled Trials Frontiers in Aging Neuroscience, 2022 DOI:10.3389/fnagi.2022.807909

[2]	Wireless Sensor Networks - Design, Deployment and Applications 2021 DOI:10.5772/intechopen.95550

[3]	Application of deep learning to distinguish multiple deep brain stimulation parameter configurations for the treatment of Parkinson’s disease 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), 2020 DOI:10.1109/ICMLA51294.2020.00178

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