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

F. Massé; M.J.P. Bussel, van; A.A.M. Serteyn; J.B.A.M. Arends; J. Penders

doi:10.1145/2485984.2485990

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

F. Massé, M.J.P. Bussel, van, A.A.M. Serteyn, J.B.A.M. Arends, J. Penders

Research output: Contribution to journal › Article › Academic › peer-review

39 Citations (Scopus)

5 Downloads (Pure)

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.

Original language	English
Article number	102
Pages (from-to)	102-1/21
Number of pages	21
Journal	ACM Transactions on Embedded Computing Systems
Volume	12
Issue number	4
DOIs	https://doi.org/10.1145/2485984.2485990
Publication status	Published - 2013

Access to Document

10.1145/2485984.2485990

Fingerprint Dive into the research topics of 'Miniaturized wireless ECG monitor for real-time detection of epileptic seizures'. Together they form a unique fingerprint.

Cite this

@article{3cba5fa679604612b43994c978b089c6,

title = "Miniaturized wireless ECG monitor for real-time detection of epileptic seizures",

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.",

author = "F. Mass{\'e} and {Bussel, van}, M.J.P. and A.A.M. Serteyn and J.B.A.M. Arends and J. Penders",

year = "2013",

doi = "10.1145/2485984.2485990",

language = "English",

volume = "12",

pages = "102--1/21",

journal = "ACM Transactions on Embedded Computing Systems",

issn = "1539-9087",

publisher = "Association for Computing Machinery, Inc",

number = "4",

}

TY - JOUR

T1 - Miniaturized wireless ECG monitor for real-time detection of epileptic seizures

AU - Massé, F.

AU - Bussel, van, M.J.P.

AU - Serteyn, A.A.M.

AU - Arends, J.B.A.M.

AU - Penders, J.

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

U2 - 10.1145/2485984.2485990

DO - 10.1145/2485984.2485990

M3 - Article

VL - 12

SP - 102-1/21

JO - ACM Transactions on Embedded Computing Systems

JF - ACM Transactions on Embedded Computing Systems

SN - 1539-9087

IS - 4

M1 - 102

ER -