Sensör Tümleştirmeyle Uyku Evrelerinin Tespiti

Ipek Karakurt; Mehmet Ali Sarikaya; Gokhan Ince

doi:10.1109/SIU.2017.7960391

Sensör Tümleştirmeyle Uyku Evrelerinin Tespiti

Translated title of the contribution: Sleep stage detection using sensor integration

Ipek Karakurt^*, Mehmet Ali Sarikaya, Gokhan Ince

^*Corresponding author for this work

Department of Computer Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Sleep, once thought to form a passive process in human life, is recently discovered to be not so passive with respect to brain activity at all. It has been possible to diagnose both physiological and psychological disorders by the inspection of sleep stages. This paper presents a model for sleep stage detection using EEG, heart rate and galvanic skin response sensors that are affordable and easily accessible. Sleep stage detection system was tested on human subjects using support vector machine and has achieved accuracy of over 87% in sleep stage detection.

Translated title of the contribution	Sleep stage detection using sensor integration
Original language	Turkish
Title of host publication	2017 25th Signal Processing and Communications Applications Conference, SIU 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509064946
DOIs	https://doi.org/10.1109/SIU.2017.7960391
Publication status	Published - 27 Jun 2017
Event	25th Signal Processing and Communications Applications Conference, SIU 2017 - Antalya, Turkey Duration: 15 May 2017 → 18 May 2017

Publication series

Name	2017 25th Signal Processing and Communications Applications Conference, SIU 2017

Conference

Conference	25th Signal Processing and Communications Applications Conference, SIU 2017
Country/Territory	Turkey
City	Antalya
Period	15/05/17 → 18/05/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

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10.1109/SIU.2017.7960391

Cite this

Karakurt, I., Sarikaya, M. A., & Ince, G. (2017). Sensör Tümleştirmeyle Uyku Evrelerinin Tespiti. In 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 Article 7960391 (2017 25th Signal Processing and Communications Applications Conference, SIU 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2017.7960391

@inproceedings{131603e9e5e84b88a4637dc55c929ed1,

title = "Sens{\"o}r T{\"u}mle{\c s}tirmeyle Uyku Evrelerinin Tespiti",

abstract = "Sleep, once thought to form a passive process in human life, is recently discovered to be not so passive with respect to brain activity at all. It has been possible to diagnose both physiological and psychological disorders by the inspection of sleep stages. This paper presents a model for sleep stage detection using EEG, heart rate and galvanic skin response sensors that are affordable and easily accessible. Sleep stage detection system was tested on human subjects using support vector machine and has achieved accuracy of over 87% in sleep stage detection.",

keywords = "EEG, Galvanic Skin Response, Heart Rate, Sleep Stage Detection, Support Vector Machine",

author = "Ipek Karakurt and Sarikaya, {Mehmet Ali} and Gokhan Ince",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 25th Signal Processing and Communications Applications Conference, SIU 2017 ; Conference date: 15-05-2017 Through 18-05-2017",

year = "2017",

month = jun,

day = "27",

doi = "10.1109/SIU.2017.7960391",

language = "T{\"u}rk{\c c}e",

series = "2017 25th Signal Processing and Communications Applications Conference, SIU 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2017 25th Signal Processing and Communications Applications Conference, SIU 2017",

address = "United States",

}

Karakurt, I, Sarikaya, MA & Ince, G 2017, Sensör Tümleştirmeyle Uyku Evrelerinin Tespiti. in 2017 25th Signal Processing and Communications Applications Conference, SIU 2017., 7960391, 2017 25th Signal Processing and Communications Applications Conference, SIU 2017, Institute of Electrical and Electronics Engineers Inc., 25th Signal Processing and Communications Applications Conference, SIU 2017, Antalya, Turkey, 15/05/17. https://doi.org/10.1109/SIU.2017.7960391

Sensör Tümleştirmeyle Uyku Evrelerinin Tespiti. / Karakurt, Ipek; Sarikaya, Mehmet Ali; Ince, Gokhan.
2017 25th Signal Processing and Communications Applications Conference, SIU 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7960391 (2017 25th Signal Processing and Communications Applications Conference, SIU 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Sensör Tümleştirmeyle Uyku Evrelerinin Tespiti

AU - Karakurt, Ipek

AU - Sarikaya, Mehmet Ali

AU - Ince, Gokhan

PY - 2017/6/27

Y1 - 2017/6/27

N2 - Sleep, once thought to form a passive process in human life, is recently discovered to be not so passive with respect to brain activity at all. It has been possible to diagnose both physiological and psychological disorders by the inspection of sleep stages. This paper presents a model for sleep stage detection using EEG, heart rate and galvanic skin response sensors that are affordable and easily accessible. Sleep stage detection system was tested on human subjects using support vector machine and has achieved accuracy of over 87% in sleep stage detection.

AB - Sleep, once thought to form a passive process in human life, is recently discovered to be not so passive with respect to brain activity at all. It has been possible to diagnose both physiological and psychological disorders by the inspection of sleep stages. This paper presents a model for sleep stage detection using EEG, heart rate and galvanic skin response sensors that are affordable and easily accessible. Sleep stage detection system was tested on human subjects using support vector machine and has achieved accuracy of over 87% in sleep stage detection.

KW - EEG

KW - Galvanic Skin Response

KW - Heart Rate

KW - Sleep Stage Detection

KW - Support Vector Machine

UR - http://www.scopus.com/inward/record.url?scp=85026315537&partnerID=8YFLogxK

U2 - 10.1109/SIU.2017.7960391

DO - 10.1109/SIU.2017.7960391

M3 - Konferans katkısı

AN - SCOPUS:85026315537

T3 - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017

BT - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 25th Signal Processing and Communications Applications Conference, SIU 2017

Y2 - 15 May 2017 through 18 May 2017

ER -

Sensör Tümleştirmeyle Uyku Evrelerinin Tespiti

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