Implementation of an Assortment of Machine Learning Classification Algorithms Regarding Diadochokinesia for Hemiparesis with Quantification from Conformal Wearable and Wireless System

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ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.org/journal/jbise
E-mail: jbise@scirp.org

Citations

"Implementation of an Assortment of Machine Learning Classification Algorithms Regarding Diadochokinesia for Hemiparesis with Quantification from Conformal Wearable and Wireless System"
written by Robert LeMoyne, Timothy Mastroianni,
published by Journal of Biomedical Science and Engineering, Vol.14 No.12, 2021

has been cited by the following article(s):

[1]	Evolutions for Wearable and Wireless Systems
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[2]	Longitudinal Evaluation of Diadochokinesia Characteristics for Hemiplegic Ankle Rehabilitation by Wearable Systems with Machine Learning
	2022 E-Health and Bioengineering …, 2022

[3]	Quantification and Classification of Household Solid Waste in the City of Bukavu, DRC
	Open Access Library …, 2022

[1]	Wearable and Wireless Systems for Healthcare I Smart Sensors, Measurement and Instrumentation, 2024 DOI:10.1007/978-981-97-2439-0_12

[2]	Longitudinal Evaluation of Diadochokinesia Characteristics for Hemiplegic Ankle Rehabilitation by Wearable Systems with Machine Learning 2022 E-Health and Bioengineering Conference (EHB), 2022 DOI:10.1109/EHB55594.2022.9991484

[3]	Longitudinal Evaluation of Diadochokinesia Characteristics for Hemiplegic Ankle Rehabilitation by Wearable Systems with Machine Learning 2022 E-Health and Bioengineering Conference (EHB), 2022 DOI:10.1109/EHB55594.2022.9991484

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