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Miniaturized wireless ECG monitor for real-time detection of epileptic seizures

Published: 03 July 2013 Publication History

Abstract

Recent advances in miniaturization of ultra-low power components allow for more intelligent wearable health monitors. The development and evaluation of a wireless wearable electrocardiogram (ECG) monitor to detect epileptic seizures from changes in the cardiac rhythm is described. The ECG data are analyzed by embedded algorithms: a robust beat-detection algorithm combined with a real-time epileptic seizure detector. In its current implementation, the proposed prototype is 52× 36× 15mm3, and has an autonomy of one day. Based on data collected on the first three epilepsy patients, preliminary clinical results are provided. Wireless, miniaturized and comfortable, this prototype opens new perspectives for health monitoring.

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Cited By

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  • (2024)Review of Machine and Deep Learning Techniques in Epileptic Seizure Detection using Physiological Signals and Sentiment AnalysisACM Transactions on Asian and Low-Resource Language Information Processing10.1145/355251223:1(1-29)Online publication date: 15-Jan-2024
  • (2024)Epileptic seizure detection using CHB-MIT dataset: The overlooked perspectivesRoyal Society Open Science10.1098/rsos.23060111:5Online publication date: 5-Jun-2024
  • (2024)An approach to detect and predict epileptic seizures with high accuracy using convolutional neural networks and single-lead-ECG signalBiomedical Physics & Engineering Express10.1088/2057-1976/ad29a310:2(025041)Online publication date: 29-Feb-2024
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    Published In

    cover image ACM Transactions on Embedded Computing Systems
    ACM Transactions on Embedded Computing Systems  Volume 12, Issue 4
    Special Section on Wireless Health Systems, On-Chip and Off-Chip Network Architectures
    June 2013
    288 pages
    ISSN:1539-9087
    EISSN:1558-3465
    DOI:10.1145/2485984
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 03 July 2013
    Accepted: 01 September 2011
    Revised: 01 June 2011
    Received: 01 November 2010
    Published in TECS Volume 12, Issue 4

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    Author Tags

    1. Body area network
    2. ECG
    3. epilepsy
    4. real-time
    5. wireless

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    Cited By

    View all
    • (2024)Review of Machine and Deep Learning Techniques in Epileptic Seizure Detection using Physiological Signals and Sentiment AnalysisACM Transactions on Asian and Low-Resource Language Information Processing10.1145/355251223:1(1-29)Online publication date: 15-Jan-2024
    • (2024)Epileptic seizure detection using CHB-MIT dataset: The overlooked perspectivesRoyal Society Open Science10.1098/rsos.23060111:5Online publication date: 5-Jun-2024
    • (2024)An approach to detect and predict epileptic seizures with high accuracy using convolutional neural networks and single-lead-ECG signalBiomedical Physics & Engineering Express10.1088/2057-1976/ad29a310:2(025041)Online publication date: 29-Feb-2024
    • (2023)Epilepsy Detection using Convolutional Neural Network2023 8th International Conference on Communication and Electronics Systems (ICCES)10.1109/ICCES57224.2023.10192720(907-911)Online publication date: 1-Jun-2023
    • (2023)Seizure Detection Mechanism in Children2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC)10.1109/ICAISC58445.2023.10200483(1-6)Online publication date: 16-Jun-2023
    • (2023)Feasibility of cardiac‐based seizure detection and prediction: A systematic review of non‐invasive wearable sensor‐based studiesEpilepsia Open10.1002/epi4.128549:1(41-59)Online publication date: 28-Nov-2023
    • (2022)An Industry Internet of Things Framework for Epilepsy Detection, Monitoring, and ControlBio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies10.4018/978-1-7998-9534-3.ch014(224-241)Online publication date: 11-Feb-2022
    • (2022)Assessing the Feasibility of Acoustic Based Seizure DetectionIEEE Transactions on Biomedical Engineering10.1109/TBME.2022.314463469:7(2379-2389)Online publication date: Jul-2022
    • (2021)Combination of ECG And PPG Signals For Smart HealthCare Systems: Techniques, Applications, and Challenges2021 Tenth International Conference on Intelligent Computing and Information Systems (ICICIS)10.1109/ICICIS52592.2021.9694241(448-455)Online publication date: 5-Dec-2021
    • (2021)Cardiac-based detection of seizures in children with epilepsyEpilepsy & Behavior10.1016/j.yebeh.2021.108129122(108129)Online publication date: Sep-2021
    • Show More Cited By

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