Algorithms Based on CWT and Classifiers to Control Cardiac Alterations and Stress Using an ECG and a SCR
This paper presents the results of using a commercial pulsimeter as an electrocardiogram (ECG) for wireless detection of cardiac alterations and stress levels for home control. For these purposes, signal processing techniques (Continuous Wavelet Transform (CWT) and J48) have been used, respectively....
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| Format: | Article |
| Language: | English |
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MDPI AG
2013-05-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/13/5/6141 |
| _version_ | 1828150034813681664 |
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| author | Amaia Méndez Zorrilla Begoña García Zapirain María Viqueira Villarejo |
| author_facet | Amaia Méndez Zorrilla Begoña García Zapirain María Viqueira Villarejo |
| author_sort | Amaia Méndez Zorrilla |
| collection | DOAJ |
| description | This paper presents the results of using a commercial pulsimeter as an electrocardiogram (ECG) for wireless detection of cardiac alterations and stress levels for home control. For these purposes, signal processing techniques (Continuous Wavelet Transform (CWT) and J48) have been used, respectively. The designed algorithm analyses the ECG signal and is able to detect the heart rate (99.42%), arrhythmia (93.48%) and extrasystoles (99.29%). The detection of stress level is complemented with Skin Conductance Response (SCR), whose success is 94.02%. The heart rate variability does not show added value to the stress detection in this case. With this pulsimeter, it is possible to prevent and detect anomalies for a non-intrusive way associated to a telemedicine system. It is also possible to use it during physical activity due to the fact the CWT minimizes the motion artifacts. |
| first_indexed | 2024-04-11T21:37:33Z |
| format | Article |
| id | doaj.art-7ed170958e8f468da86db00d4678632a |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T21:37:33Z |
| publishDate | 2013-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-7ed170958e8f468da86db00d4678632a2022-12-22T04:01:41ZengMDPI AGSensors1424-82202013-05-011356141617010.3390/s130506141Algorithms Based on CWT and Classifiers to Control Cardiac Alterations and Stress Using an ECG and a SCRAmaia Méndez ZorrillaBegoña García ZapirainMaría Viqueira VillarejoThis paper presents the results of using a commercial pulsimeter as an electrocardiogram (ECG) for wireless detection of cardiac alterations and stress levels for home control. For these purposes, signal processing techniques (Continuous Wavelet Transform (CWT) and J48) have been used, respectively. The designed algorithm analyses the ECG signal and is able to detect the heart rate (99.42%), arrhythmia (93.48%) and extrasystoles (99.29%). The detection of stress level is complemented with Skin Conductance Response (SCR), whose success is 94.02%. The heart rate variability does not show added value to the stress detection in this case. With this pulsimeter, it is possible to prevent and detect anomalies for a non-intrusive way associated to a telemedicine system. It is also possible to use it during physical activity due to the fact the CWT minimizes the motion artifacts.http://www.mdpi.com/1424-8220/13/5/6141ECGarrhythmiaextrasystoleheart rateSCRCWTstresscardiac alterationssignal processingJ48 |
| spellingShingle | Amaia Méndez Zorrilla Begoña García Zapirain María Viqueira Villarejo Algorithms Based on CWT and Classifiers to Control Cardiac Alterations and Stress Using an ECG and a SCR Sensors ECG arrhythmia extrasystole heart rate SCR CWT stress cardiac alterations signal processing J48 |
| title | Algorithms Based on CWT and Classifiers to Control Cardiac Alterations and Stress Using an ECG and a SCR |
| title_full | Algorithms Based on CWT and Classifiers to Control Cardiac Alterations and Stress Using an ECG and a SCR |
| title_fullStr | Algorithms Based on CWT and Classifiers to Control Cardiac Alterations and Stress Using an ECG and a SCR |
| title_full_unstemmed | Algorithms Based on CWT and Classifiers to Control Cardiac Alterations and Stress Using an ECG and a SCR |
| title_short | Algorithms Based on CWT and Classifiers to Control Cardiac Alterations and Stress Using an ECG and a SCR |
| title_sort | algorithms based on cwt and classifiers to control cardiac alterations and stress using an ecg and a scr |
| topic | ECG arrhythmia extrasystole heart rate SCR CWT stress cardiac alterations signal processing J48 |
| url | http://www.mdpi.com/1424-8220/13/5/6141 |
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