Wearable sensor-based fuzzy decision-making model for improving the prediction of human activities in rehabilitation-Reference-Cited by-同舟云学术

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Wearable sensor-based fuzzy decision-making model for improving the prediction of human activities in rehabilitation

Published:2020-12 Issue: Volume:166 Page:108254
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Tolba Amr,Al-Makhadmeh Zafer

Funder

Deanship of Scientific Research at King Saud University

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference41 articles.

1. MDS: multi-level decision system for patient behavior analysis based on wearable device information;Tolba;Comput. Commun.,2019

2. Wearable IoT smart-log patch: an edge computing-based Bayesian deep learning network system for multi access physical monitoring system;Manogaran;Sensors,2019

3. Optimizing the network energy of cloud assisted internet of things by using the adaptive neural learning approach in wireless sensor networks;Alarifi;Comput. Ind.,2019

4. Utilizing IoT wearable medical device for heart disease prediction using higher order Boltzmann model: A classification approach;Al-Makhadmeh;Measurement.,2019

5. A dynamic and interoperable communication framework for controlling the operations of wearable sensors in smart healthcare applications;Baskar;Comput. Commun.,2020

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3. Textile-Sensing Wearable Systems for Continuous Motion Angle Estimation: A Systematic Review;International Journal of Human–Computer Interaction;2023-11-12

4. Research on interactive force acquisition and active–passive mode determination of rehabilitation robot;Measurement;2023-10

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