An IoT-Based Novel Hybrid Seizure Detection Approach for Epileptic Monitoring-Reference-Cited by-同舟云学术

An IoT-Based Novel Hybrid Seizure Detection Approach for Epileptic Monitoring

Published:2024-02 Issue:2 Volume:20 Page:1420-1431
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Yedurkar Dhanalekshmi Prasad¹^ORCID,Metkar Shilpa²,Al-Turjman Fadi³^ORCID,Yardi Nandan⁴^ORCID,Stephan Thompson⁵^ORCID

Affiliation:

1. Department of Computer Science Engineering, MIT Art, Design and Technology University, Pune, India

2. School of Electrical and Communication Engineering, COEP Technological University, Pune, India

3. Research Center for AI and IoT, Faculty of Engineering, University of Kyrenia, Mersin 10, Turkey

4. Yardi Epilepsy Clinic, KEM Hospital, Pune, India

5. Department of Computer Science and Engineering, Faculty of Engineering and Technology, M. S. Ramaiah University of Applied Sciences, Bangalore, Karnataka, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/10411967/10128719.pdf?arnumber=10128719

Reference46 articles.

1. Application of mobile phones in epilepsy care

2. A wearable sensor based multi-criteria-decision-system for real-time seizure detection

3. Brain electrical activity analysis using wavelet-based informational tools

4. Real-time detection, quantification, warning, and control of epileptic seizures: The foundations for a scientific epileptology

5. Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state

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