This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Phonocardiography is a widely used method of listening to the heart sounds and indicating the presence of cardiac abnormalities. Each heart cycle consists of two major sounds – S1 and S2 – that can be used to determine the heart rate. The conventional method of acoustic signal acquisition involves placing the sound sensor at the chest where this sound is most audible. Presented is a novel algorithm for the detection of S1 and S2 heart sounds and the use of them to extract the heart rate from signals acquired by a small sensor placed at the neck. This algorithm achieves an accuracy of 90.73 and 90.69%, with respect to heart rate value provided by two commercial devices, evaluated on more than 38 h of data acquired from ten different subjects during sleep in a pilot clinical study. This is the largest dataset for acoustic heart sound classification and heart rate extraction in the literature to date. The algorithm in this study used signals from a sensor designed to monitor breathing. This shows that the same sensor and signal can be used to monitor both breathing and heart rate, making it highly useful for long-term wearable vital signs monitoring.
References
-
-
1)
-
6. Wang, P., Kim, Y., Ling, L.H., Soh, C.B.: ‘First heart sound detection for phonocardiogram segmentation’. IEEE EMBC, Shanghai, China, September 2005.
-
2)
-
10. Ari, S., Kumar, P., Saha, G.: ‘A robust heart sound segmentation algorithm for commonly occurring heart valve diseases’, J. Med. Eng. Technol., 2008, 32, (6), pp. 456–465 (doi: 10.1080/03091900601015162).
-
3)
-
5. Brusco, M., Nazeran, H.: ‘Development of an intelligent PDA-based wearable digital phonocardiograph’. IEEE EMBC, Shanghai, China, September 2005.
-
4)
-
15. Corbishley, P., Rodriguez-Villegas, E.: ‘Breathing detection: towards a miniaturized, wearable, battery-operated monitoring system’, IEEE Trans. Biomed. Eng., 2008, 55, (1), pp. 196–204 (doi: 10.1109/TBME.2007.910679).
-
5)
-
11. Yamacli, M., Dokur, Z., Ölmez, T.: ‘Segmentation of S1-S2 sounds in phonocardiogram records using wavelet energies’. IEEE ISCIS, Istanbul, Turkey, October 2008.
-
6)
-
8. Ricke, A.D., Povinelli, R.J., Johnson, M.T.: ‘Automatic segmentation of heart sound signals using hidden Markov models’. Computers in Cardiology, Lyon, France, September 2005.
-
7)
-
8)
-
7. Gamero, L.G., Watrous, R.: ‘Detection of the first and second heart sound using probabilistic models’. IEEE EMBC, Cancun, Mexico, September 2003.
-
9)
-
10)
-
C.N. Gupta ,
R. Palaniappan ,
S. Swaminathan ,
S.M. Krishnan
.
Neural network classification of homomorphic segmented heart sounds.
Appl. Soft Comput.
,
286 -
297
-
11)
-
9. Lima, C.S., Barbosa, D.: ‘Automatic segmentation of the second cardiac sound by using wavelets and hidden Markov models’. IEEE EMBC, Vancouver, Canada, August 2008.
-
12)
-
19. Rodriguez-Villegas, E., Chen, G., Radcliffe, J., Duncan, J.: ‘A pilot study of a wearable apnoea detection device’, BMJ Open, 2014, 4, (10) (doi: 10.1136/bmjopen-2014-005299).
-
13)
-
2. Kumar, D., Carvalho, P., Antunes, M., Gil, P., Henriques, J., Eugenio, L.: ‘A new algorithm for detection of S1 and S2 heart sounds’. IEEE ICASSP, Toulouse, France, May 2006.
-
14)
-
3. Liang, H., Lukkarinen, S., Hartimo, I.: ‘Heart sound segmentation algorithm based on heart sound envelogram’. Computers in Cardiology, Lund, Sweden, September 1997.
-
15)
-
16. Weissler, A.M., Harris, W.S., Schoenfeld, C.D.: ‘Systolic time intervals in heart failure in man’, Circulation, 1968, 37, (2), pp. 149–159 (doi: 10.1161/01.CIR.37.2.149).
-
16)
-
13. Chen, Y.-H., Chen, H.-H., Chen, T.-C., Chen, L.-G.: ‘Robust heart rate measurement with phonocardiogram by on-line template extraction and matching’. IEEE EMBC, Boston, MA, USA, September 2011.
-
17)
-
1. Geddes, L.A.: ‘Birth of the stethoscope’, IEEE Eng. Med. Biol. Mag., 2005, 24, (1), pp. 84–86 (doi: 10.1109/MEMB.2005.1384105).
-
18)
-
14. Popov, B., Sierra, G., Telfort, V., Agarwal, R., Lanzo, V.: ‘Estimation of respiratory rate and heart rate during treadmill tests using acoustic sensor’. IEEE EMBC, Shanghai, China, September 2005.
-
19)
-
4. Liang, H.Y., Sakari, L., Iiro, H.: ‘A heart sound segmentation algorithm using wavelet decomposition and reconstruction’. IEEE EMBC, Chicago, IL, USA, October 1997.
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