A Healthcare Digital Twin for Diagnosis of Stroke
Author:
Affiliation:
1. Korea Research Institute of Standards and Science,Daejeon,South Korea
2. Islamic University of Technology,Gazipur,Bangladesh
Funder
National Research Council
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9893559/9893547/09893641.pdf?arnumber=9893641
Reference18 articles.
1. Development of a Real-Time Stroke Detection System for Elderly Drivers Using Quad-Chamber Air Cushion and IoT Devices
2. Quantifying Physiological Biomarkers of a Microwave Brain Stimulation Device
3. Physiological Evaluation of a Non-invasive Wearable Vagus Nerve Stimulation (VNS) Device
4. HealthSOS: Real-Time Health Monitoring System for Stroke Prognostics
5. Quantitative Evaluation of Task-Induced Neurological Outcome after Stroke
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1. An Explainable EEG-Based Human Activity Recognition Model Using Machine-Learning Approach and LIME;Sensors;2023-08-27
2. Intelligent Digital Twins for Personalized Migraine Care;Journal of Personalized Medicine;2023-08-13
3. Explainable Artificial Intelligence Model for Stroke Prediction Using EEG Signal;Sensors;2022-12-15
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