Real-Time Management of Multimodal Streaming Data for Monitoring of Epileptic Patients

Iosif Mporas; Dimitrios  Triantafyllopoulos; Vasileios Megalooikonomou

doi:10.1007/s10916-015-0403-3

Real-Time Management of Multimodal Streaming Data for Monitoring of Epileptic Patients

Iosif Mporas, Dimitrios Triantafyllopoulos, Vasileios Megalooikonomou

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

7 Citations (Scopus)

36 Downloads (Pure)

Abstract

New generation of healthcare is represented by wearable health monitoring systems, which provide real-time monitoring of patient’s physiological parameters. It is expected that continuous ambulatory monitoring of vital signals will improve treatment of patients and enable proactive personal health management. In this paper, we present the implementation of a multimodal real-time system for epilepsy management. The proposed methodology is based on a data streaming architecture and efficient management of a big flow of physiological parameters. The performance of this architecture is examined for varying spatial resolution of the recorded data.

Original language	English
Journal	Journal of Medical Systems
Volume	40
Issue number	45
Early online date	7 Dec 2015
DOIs	https://doi.org/10.1007/s10916-015-0403-3
Publication status	Published - 1 Mar 2016

Access to Document

10.1007/s10916-015-0403-3

Accepted ManuscriptAccepted author manuscript, 1.35 MBLicence: CC BY

Cite this

@article{4dd13c81cd3d4d74a46bc01fc832944e,

title = "Real-Time Management of Multimodal Streaming Data for Monitoring of Epileptic Patients",

abstract = "New generation of healthcare is represented by wearable health monitoring systems, which provide real-time monitoring of patient{\textquoteright}s physiological parameters. It is expected that continuous ambulatory monitoring of vital signals will improve treatment of patients and enable proactive personal health management. In this paper, we present the implementation of a multimodal real-time system for epilepsy management. The proposed methodology is based on a data streaming architecture and efficient management of a big flow of physiological parameters. The performance of this architecture is examined for varying spatial resolution of the recorded data.",

author = "Iosif Mporas and Dimitrios Triantafyllopoulos and Vasileios Megalooikonomou",

note = "This is the Accepted Manuscript version of the following article: I. Mporas, D. Triantafyllopoulos, V. Megalooikonomou, “Real-Time Management of Multimodal Streaming Data for Monitoring of Epileptic Patients”, Journal of Medical Systems, Vol. 40(45), December 2015. The final published versions is available at: https://link.springer.com/article/10.1007%2Fs10916-015-0403-3 {\textcopyright} Springer Science+Business Media New York 2015. ",

year = "2016",

month = mar,

day = "1",

doi = "10.1007/s10916-015-0403-3",

language = "English",

volume = "40",

journal = "Journal of Medical Systems",

issn = "0148-5598",

publisher = "Springer Nature Link",

number = "45",

}

TY - JOUR

T1 - Real-Time Management of Multimodal Streaming Data for Monitoring of Epileptic Patients

AU - Mporas, Iosif

AU - Triantafyllopoulos, Dimitrios

AU - Megalooikonomou, Vasileios

N1 - This is the Accepted Manuscript version of the following article: I. Mporas, D. Triantafyllopoulos, V. Megalooikonomou, “Real-Time Management of Multimodal Streaming Data for Monitoring of Epileptic Patients”, Journal of Medical Systems, Vol. 40(45), December 2015. The final published versions is available at: https://link.springer.com/article/10.1007%2Fs10916-015-0403-3 © Springer Science+Business Media New York 2015.

PY - 2016/3/1

Y1 - 2016/3/1

N2 - New generation of healthcare is represented by wearable health monitoring systems, which provide real-time monitoring of patient’s physiological parameters. It is expected that continuous ambulatory monitoring of vital signals will improve treatment of patients and enable proactive personal health management. In this paper, we present the implementation of a multimodal real-time system for epilepsy management. The proposed methodology is based on a data streaming architecture and efficient management of a big flow of physiological parameters. The performance of this architecture is examined for varying spatial resolution of the recorded data.

AB - New generation of healthcare is represented by wearable health monitoring systems, which provide real-time monitoring of patient’s physiological parameters. It is expected that continuous ambulatory monitoring of vital signals will improve treatment of patients and enable proactive personal health management. In this paper, we present the implementation of a multimodal real-time system for epilepsy management. The proposed methodology is based on a data streaming architecture and efficient management of a big flow of physiological parameters. The performance of this architecture is examined for varying spatial resolution of the recorded data.

U2 - 10.1007/s10916-015-0403-3

DO - 10.1007/s10916-015-0403-3

M3 - Article

SN - 0148-5598

VL - 40

JO - Journal of Medical Systems

JF - Journal of Medical Systems

IS - 45

ER -

Real-Time Management of Multimodal Streaming Data for Monitoring of Epileptic Patients

Abstract

Access to Document

Fingerprint

Cite this