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Advances in Parkinson's Disease
Submission
Advances in Parkinson's Disease
ISSN Print:
2169-9712
ISSN Online:
2169-9720
www.scirp.org/journal/apd
E-mail:
apd@scirp.org
Google-based Impact Factor:
1.36
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"
Implementation of a Smartphone as a Wearable and Wireless Accelerometer and Gyroscope Platform for Ascertaining Deep Brain Stimulation Treatment Efficacy of Parkinson’s Disease through Machine Learning Classification
"
written by
Robert LeMoyne, Timothy Mastroianni, Cyrus McCandless, Christopher Currivan, Donald Whiting, Nestor Tomycz
,
published by
Advances in Parkinson's Disease
,
Vol.7 No.2, 2018
has been cited by the following article(s):
Google Scholar
CrossRef
[1]
Deep Brain Stimulation in Parkinson's Disease: Assessing Efficacy
2021
[2]
An Evolutionary Perspective for Network Centric Therapy through Wearable and Wireless Systems for Reflex, Gait, and Movement Disorder Assessment with …
2021
[3]
Ultrasound‐Powered Implants: A Critical Review of Piezoelectric Material Selection and Applications
2021
[4]
Machine learning in deep brain stimulation: A systematic review
Artificial Intelligence in Medicine
,
2021
[5]
Implementation of an assortment of machine learning classification algorithms regarding diadochokinesia for hemiparesis with quantification from conformal …
Journal of Biomedical Science and …
,
2021
[6]
Applied Software Development with Python & Machine Learning by Wearable & Wireless Systems for Movement Disorder Treatment via Deep Brain …
2021
[7]
Interrelation of Precessed Motions of the Gyroscope
World Journal of Mechanics
,
2021
[8]
Data driven methods to support decision making in Deep Brain Stimulation for Parkinson's Disease
2020
[9]
Parametric evaluation of deep brain stimulation parameter configurations for Parkinson's disease using a conformal wearable and wireless inertial sensor system and …
2020
[10]
Distinction of an Assortment of Deep Brain Stimulation Parameter Configurations for Treating Parkinson's Disease Using Machine Learning with Quantification …
2020
[11]
Application of deep learning to distinguish multiple deep brain stimulation parameter configurations for the treatment of Parkinson's disease
2020
[12]
Evaluation of Machine Learning Algorithms for Classifying Deep Brain Stimulation Respective of 'On'and 'Off'Status
2019
[13]
Wearable and Wireless Systems for Healthcare: Movement disorder evaluation and deep brain stimulation systems. II
2019
[14]
Preliminary Network Centric Therapy for Machine Learning Classification of Deep Brain Stimulation Status for the Treatment of Parkinson's Disease with a …
2019
[15]
Traditional Ordinal Strategies for Establishing the Severity and Status of Movement Disorders, Such as Parkinson's Disease and Essential Tremor
2019
[16]
Assessment of Machine Learning Classification Strategies for the Differentiation of Deep Brain Stimulation “On” and “Off” Status for Parkinson's Disease Using a …
2019
[17]
Deep Brain Stimulation for the Treatment of Movement Disorder Regarding Parkinson's Disease and Essential Tremor with Device Characterization
2019
[18]
Wearable and Wireless Systems with Internet Connectivity for Quantification of Parkinson's Disease and Essential Tremor Characteristics
2019
[19]
Movement Disorders: Parkinson's Disease and Essential Tremor—A General Perspective
2019
[20]
Wearable and Wireless Systems for Healthcare II
Smart Sensors, Measurement and Instrumentation book series
,
2019
[21]
Role of Machine Learning for Classification of Movement Disorder and Deep Brain Stimulation Status
2019
[22]
Wearable and Wireless Systems for Movement Disorder Evaluation and Deep Brain Stimulation Systems
2019
[23]
Wearable and Wireless Systems for Healthcare II: Movement Disorder Evaluation and Deep Brain Stimulation Systems
Smart sensors, measurement and instrumentation
,
2019
[24]
Wearable and Wireless Systems for Healthcare I
2018
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