Simulation Recording of an ECG, PCG, and PPG for Feature Extractions
Recently, the development of the field of biomedical engineering has led to a renewed interest in detection of several events. In this paper a new approach used to detect specific parameter and relations between three biomedical signals that used in clinical diagnosis. These include the phonocardio...
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Al-Khwarizmi College of Engineering – University of Baghdad
2017
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oai:doaj.org-article:1afd5992ea4042288a17bd83ff6fa03f2021-12-02T04:33:55ZSimulation Recording of an ECG, PCG, and PPG for Feature Extractions1818-11712312-0789https://doaj.org/article/1afd5992ea4042288a17bd83ff6fa03f2017-12-01T00:00:00Zhttp://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/208https://doaj.org/toc/1818-1171https://doaj.org/toc/2312-0789 Recently, the development of the field of biomedical engineering has led to a renewed interest in detection of several events. In this paper a new approach used to detect specific parameter and relations between three biomedical signals that used in clinical diagnosis. These include the phonocardiography (PCG), electrocardiography (ECG) and photoplethysmography (PPG) or sometimes it called the carotid pulse related to the position of electrode. Comparisons between three cases (two normal cases and one abnormal case) are used to indicate the delay that may occurred due to the deficiency of the cardiac muscle or valve in an abnormal case. The results shown that S1 and S2, first and second sound of the heart respectively, can be determined from another signal like ECG. Moreover, the position of QRS complex and the end of T wave could be estimated by using PPG signal. Noor Kamal Al-QazzazIsraa F. AbdulazezSalma A. RidhaAl-Khwarizmi College of Engineering – University of BaghdadarticleKeywords: Cardiac Signal, ECG, PCG, carotid pulse, PPG, signal processing, feature extraction.Chemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 10, Iss 4 (2017) |
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Keywords: Cardiac Signal, ECG, PCG, carotid pulse, PPG, signal processing, feature extraction. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 |
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Keywords: Cardiac Signal, ECG, PCG, carotid pulse, PPG, signal processing, feature extraction. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 Noor Kamal Al-Qazzaz Israa F. Abdulazez Salma A. Ridha Simulation Recording of an ECG, PCG, and PPG for Feature Extractions |
description |
Recently, the development of the field of biomedical engineering has led to a renewed interest in detection of several events. In this paper a new approach used to detect specific parameter and relations between three biomedical signals that used in clinical diagnosis. These include the phonocardiography (PCG), electrocardiography (ECG) and photoplethysmography (PPG) or sometimes it called the carotid pulse related to the position of electrode.
Comparisons between three cases (two normal cases and one abnormal case) are used to indicate the delay that may occurred due to the deficiency of the cardiac muscle or valve in an abnormal case.
The results shown that S1 and S2, first and second sound of the heart respectively, can be determined from another signal like ECG. Moreover, the position of QRS complex and the end of T wave could be estimated by using PPG signal.
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format |
article |
author |
Noor Kamal Al-Qazzaz Israa F. Abdulazez Salma A. Ridha |
author_facet |
Noor Kamal Al-Qazzaz Israa F. Abdulazez Salma A. Ridha |
author_sort |
Noor Kamal Al-Qazzaz |
title |
Simulation Recording of an ECG, PCG, and PPG for Feature Extractions |
title_short |
Simulation Recording of an ECG, PCG, and PPG for Feature Extractions |
title_full |
Simulation Recording of an ECG, PCG, and PPG for Feature Extractions |
title_fullStr |
Simulation Recording of an ECG, PCG, and PPG for Feature Extractions |
title_full_unstemmed |
Simulation Recording of an ECG, PCG, and PPG for Feature Extractions |
title_sort |
simulation recording of an ecg, pcg, and ppg for feature extractions |
publisher |
Al-Khwarizmi College of Engineering – University of Baghdad |
publishDate |
2017 |
url |
https://doaj.org/article/1afd5992ea4042288a17bd83ff6fa03f |
work_keys_str_mv |
AT noorkamalalqazzaz simulationrecordingofanecgpcgandppgforfeatureextractions AT israafabdulazez simulationrecordingofanecgpcgandppgforfeatureextractions AT salmaaridha simulationrecordingofanecgpcgandppgforfeatureextractions |
_version_ |
1718401112998936576 |