Towards a telehealth infrastructure supported by machine learning on edge/fog for Parkinson's movement screening-Reference-Cited by-同舟云学术

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Towards a telehealth infrastructure supported by machine learning on edge/fog for Parkinson's movement screening

Published:2022-12 Issue: Volume:26 Page:100351
ISSN:2352-6483
Container-title:Smart Health
language:en
Short-container-title:Smart Health

Author:

Sadhu Shehjar^ORCID,Solanki Dhaval,Constant Nicholas,Ravichandran Vignesh,Cay Gozde^ORCID,Saikia Manob Jyoti,Akbar Umer,Mankodiya Kunal

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Health Information Management,Computer Science Applications,Health Informatics,Information Systems,Medicine (miscellaneous)

Reference21 articles.

1. PD-Net: Quantitative motor function evaluation for Parkinson's disease via automated hand gesture analysis;Chen,2021

2. Data analytics for wearable IoT-based telemedicine;Constant,2021

3. Towards collaborative intelligent IoT eHealth: From device to Fog, and cloud;Farahani;Microprocessors and Microsystems,2020

4. Teleneurology in Parkinson's disease: A step-by-step video guide;Ferreira;Acta Neurologica Scandinavica,2021

5. Accuracy of the Microsoft Kinect sensor for measuring movement in people with Parkinson's disease;Galna;Gait & Posture,2014

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2. Smart Fabric and E-Textile Sensor Technology for Wearables to Measure High Pressure;IEEE Transactions on Instrumentation and Measurement;2023

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