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ECG signals based mental stress assessment using wavelet transform

Proceeding of The IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2011) at Penang, Malaysia on 25 November 2011 through 27 November 2011. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp

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Bibliographic Details
Main Authors: Karthikeyan, Palanisamy, Murugappan, M., Dr., Sazali, Yaacob, Prof. Dr.
Other Authors: karthi_209170@yahoo.com
Format: Working Paper
Language:English
Published: IEEE Conference Publications 2014
Subjects:
Discrete wavelet transform
K Nearest Neighbor
Stress
Stroop colour word test
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/34654
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spelling my.unimap-346542014-05-22T09:35:28Z ECG signals based mental stress assessment using wavelet transform Karthikeyan, Palanisamy Murugappan, M., Dr. Sazali, Yaacob, Prof. Dr. karthi_209170@yahoo.com murugappan@unimap.edu.my s.yaacob@unimap.edu.my Discrete wavelet transform K Nearest Neighbor Stress Stroop colour word test Proceeding of The IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2011) at Penang, Malaysia on 25 November 2011 through 27 November 2011. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp This paper describes the mental stress assessment using Electrocardiography (ECG) signal. Stress reflects the changes in heart rates under stressful situation. In this work, Heart Rate Variability (HRV) from ECG signal is used to study the activity of Autonomic Nervous System (ANS) under stress states. The Stroop colour word test is used to induce stress and ECG signal was simultaneously acquired from the 10 female subjects in the age range of (20 - 25) years in non invasive manner. An acquired ECG signals are preprocessed using 4 th order elliptic band pass filter. The High Frequency (HF) and Low Frequency (LF) bands of ECG signals were considered to extract the stress related features through Discrete Wavelet Transform (DWT) using db4 wavelet function. The extracted features are mapped into two states such as stress and relax using a K Nearest Neighbour (KNN). The experimental results show the maximum average classification accuracy of 96.41% on classifying the stress and relax states from the ECG signals. 2014-05-22T09:35:28Z 2014-05-22T09:35:28Z 2011-11 Working Paper p. 258-262 978-1-4577-1640-9 http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6190533 http://dspace.unimap.edu.my:80/dspace/handle/123456789/34654 http://dx.doi.org/10.1109/ICCSCE.2011.6190533 en Proceeding of The IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2011); IEEE Conference Publications
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Discrete wavelet transform
K Nearest Neighbor
Stress
Stroop colour word test
spellingShingle Discrete wavelet transform
K Nearest Neighbor
Stress
Stroop colour word test
Karthikeyan, Palanisamy
Murugappan, M., Dr.
Sazali, Yaacob, Prof. Dr.
ECG signals based mental stress assessment using wavelet transform
description Proceeding of The IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2011) at Penang, Malaysia on 25 November 2011 through 27 November 2011. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp
author2 karthi_209170@yahoo.com
author_facet karthi_209170@yahoo.com
Karthikeyan, Palanisamy
Murugappan, M., Dr.
Sazali, Yaacob, Prof. Dr.
format Working Paper
author Karthikeyan, Palanisamy
Murugappan, M., Dr.
Sazali, Yaacob, Prof. Dr.
author_sort Karthikeyan, Palanisamy
title ECG signals based mental stress assessment using wavelet transform
title_short ECG signals based mental stress assessment using wavelet transform
title_full ECG signals based mental stress assessment using wavelet transform
title_fullStr ECG signals based mental stress assessment using wavelet transform
title_full_unstemmed ECG signals based mental stress assessment using wavelet transform
title_sort ecg signals based mental stress assessment using wavelet transform
publisher IEEE Conference Publications
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/34654
_version_ 1643797556229046272
score 13.222552

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