TY - GEN
T1 - Wavelet and teager energy operator (TEO) for heart sound processing and identification
AU - Ramović, Aiša
AU - Bandić, Lejla
AU - Kevrić, Jasmin
AU - Germović, Emina
AU - Subasi, Abdulhamit
N1 - Publisher Copyright: © Springer Nature Singapore Pte Ltd. 2017.
PY - 2017
Y1 - 2017
N2 - The heart sound signal (heartbeat) recorded from normal subjects usually contains two separate tones, S1 and S2. In addition, an auscultation technique used to provide physicians with accurate and objective interpretation of heart sounds can be used to detect four sounds, namely, S1, S2, S3, and S4, during the heart cycle. In this project, we propose a technique to detect these four heartbeats effectively using the combination of multi-scale wavelet transform and Teager Energy Operator to increase the precision of the detection process. The purpose of combining TEO with Wavelets is to observe how different details obtained from the Wavelet Transform influence the Teager Operator success in detecting S1, S2, S3, and S4 heart sounds. The effectiveness of the proposed approach is evaluated in experiments related to different cardiac conditions, achieving 88 % accuracy for localization of S1 and S2, and 86 % accuracy for S3 and/or S4.
AB - The heart sound signal (heartbeat) recorded from normal subjects usually contains two separate tones, S1 and S2. In addition, an auscultation technique used to provide physicians with accurate and objective interpretation of heart sounds can be used to detect four sounds, namely, S1, S2, S3, and S4, during the heart cycle. In this project, we propose a technique to detect these four heartbeats effectively using the combination of multi-scale wavelet transform and Teager Energy Operator to increase the precision of the detection process. The purpose of combining TEO with Wavelets is to observe how different details obtained from the Wavelet Transform influence the Teager Operator success in detecting S1, S2, S3, and S4 heart sounds. The effectiveness of the proposed approach is evaluated in experiments related to different cardiac conditions, achieving 88 % accuracy for localization of S1 and S2, and 86 % accuracy for S3 and/or S4.
KW - Cardiovascular diseases (CVD)
KW - Discrete wavelet transform (DWT)
KW - Heart sounds
KW - Teager energy operator (TEO)
UR - https://www.scopus.com/pages/publications/85016081217
U2 - 10.1007/978-981-10-4166-2_76
DO - 10.1007/978-981-10-4166-2_76
M3 - Conference contribution
SN - 9789811041655
T3 - IFMBE Proceedings
SP - 495
EP - 502
BT - CMBEBIH 2017 - Proceedings of the International Conference on Medical and Biological Engineering, 2017
A2 - Badnjevic, Almir
PB - Springer Verlag
T2 - International Conference on Medical and Biological Engineering, CMBEBIH 2017
Y2 - 16 March 2017 through 18 March 2017
ER -