Feasibility of an Integrated Telemonitoring System for Home-Recorded EEG with Automated AI-Based EEG Analysis

Clemens Lang; Silvia Winkler; Johannes Koren; Gerhard Gritsch; David Pollreisz; Stefan Köpl; Tilmann Kluge; Christoph Baumgartner

doi:10.3233/SHTI240030

Feasibility of an Integrated Telemonitoring System for Home-Recorded EEG with Automated AI-Based EEG Analysis

Clemens Lang
, Silvia Winkler
, Johannes Koren
, Gerhard Gritsch
, David Pollreisz
, Stefan Köpl
, Tilmann Kluge
, Christoph Baumgartner

Medical Signal Analysis

Publikation: Beitrag in Buch oder Tagungsband › Beitrag in Tagungsband mit Posterpräsentation › Begutachtung

Abstract

BACKGROUND: Self-recorded EEG by patients at home might present a viable alternative to inpatient epilepsy evaluations.

OBJECTIVES AND METHODS: We developed a novel telemonitoring system comprising seamlessly integrated hard- and software with automated AI-based EEG analysis.

RESULTS: The first complete study participation results demonstrate feasibility and clinical utility.

CONCLUSION: Our telemonitoring solution potentially improves treatment of patients with epilepsy and moreover might help to better distribute resources in the healthcare system.

Originalsprache	Englisch
Titel	Studies in Health Technology and Informatics
Seiten	158-159
Seitenumfang	2
Band	313
DOIs	https://doi.org/10.3233/SHTI240030
Publikationsstatus	Veröffentlicht - 26 Apr. 2024
Veranstaltung	dHealth 2024 - 18th Annual Conference on Health Informatics meets Digital Health - Apothekertrakt of Schloss Schönbrunn, Vienna, Österreich Dauer: 7 Mai 2024 → 8 Mai 2024 Konferenznummer: 18 http://dhealth.at

Publikationsreihe

Name	Studies in Health Technology and Informatics
Herausgeber (Verlag)	IOS Press BV
ISSN (Print)	0926-9630

Konferenz

Konferenz	dHealth 2024 - 18th Annual Conference on Health Informatics meets Digital Health
Kurztitel	dHealth 2024
Land/Gebiet	Österreich
Stadt	Vienna
Zeitraum	7/05/24 → 8/05/24
Internetadresse	http://dhealth.at

Research Field

Medical Signal Analysis

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10.3233/SHTI240030Lizenz: CC BY-NC

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Lang, C., Winkler, S., Koren, J., Gritsch, G., Pollreisz, D., Köpl, S., Kluge, T., & Baumgartner, C. (2024). Feasibility of an Integrated Telemonitoring System for Home-Recorded EEG with Automated AI-Based EEG Analysis. in Studies in Health Technology and Informatics (Band 313, S. 158-159). (Studies in Health Technology and Informatics). https://doi.org/10.3233/SHTI240030

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abstract = "BACKGROUND: Self-recorded EEG by patients at home might present a viable alternative to inpatient epilepsy evaluations.OBJECTIVES AND METHODS: We developed a novel telemonitoring system comprising seamlessly integrated hard- and software with automated AI-based EEG analysis.RESULTS: The first complete study participation results demonstrate feasibility and clinical utility.CONCLUSION: Our telemonitoring solution potentially improves treatment of patients with epilepsy and moreover might help to better distribute resources in the healthcare system.",

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Lang, C, Winkler, S, Koren, J, Gritsch, G, Pollreisz, D, Köpl, S, Kluge, T & Baumgartner, C 2024, Feasibility of an Integrated Telemonitoring System for Home-Recorded EEG with Automated AI-Based EEG Analysis. in Studies in Health Technology and Informatics. Bd. 313, Studies in Health Technology and Informatics, S. 158-159, dHealth 2024 - 18th Annual Conference on Health Informatics meets Digital Health, Vienna, Österreich, 7/05/24. https://doi.org/10.3233/SHTI240030

Feasibility of an Integrated Telemonitoring System for Home-Recorded EEG with Automated AI-Based EEG Analysis. / Lang, Clemens; Winkler, Silvia; Koren, Johannes et al.
Studies in Health Technology and Informatics. Band 313 2024. S. 158-159 (Studies in Health Technology and Informatics).

Publikation: Beitrag in Buch oder Tagungsband › Beitrag in Tagungsband mit Posterpräsentation › Begutachtung

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AU - Gritsch, Gerhard

AU - Pollreisz, David

AU - Köpl, Stefan

AU - Kluge, Tilmann

AU - Baumgartner, Christoph

N1 - Conference code: 18

PY - 2024/4/26

Y1 - 2024/4/26

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AB - BACKGROUND: Self-recorded EEG by patients at home might present a viable alternative to inpatient epilepsy evaluations.OBJECTIVES AND METHODS: We developed a novel telemonitoring system comprising seamlessly integrated hard- and software with automated AI-based EEG analysis.RESULTS: The first complete study participation results demonstrate feasibility and clinical utility.CONCLUSION: Our telemonitoring solution potentially improves treatment of patients with epilepsy and moreover might help to better distribute resources in the healthcare system.

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KW - Software

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KW - Female

KW - epilepsy

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Feasibility of an Integrated Telemonitoring System for Home-Recorded EEG with Automated AI-Based EEG Analysis

Abstract

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