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Detection of the 3rd Heart Sound using Recurrence Time Statistics
Linköpings universitet, Institutionen för medicinsk teknik, Fysiologisk mätteknik. Linköpings universitet, Tekniska högskolan.
Linköpings universitet, Institutionen för medicinsk teknik, Fysiologisk mätteknik. Linköpings universitet, Tekniska högskolan.
Linköpings universitet, Institutionen för medicinsk teknik, Fysiologisk mätteknik. Linköpings universitet, Tekniska högskolan.
2006 (engelsk)Inngår i: Proc. 31st IEEE Int. Conf. on Acoustics, Speech and Signal Processing, Toulouse, France, 2006, 2006, s. 1040-1043Konferansepaper, Publicerat paper (Annet vitenskapelig)
Abstract [en]

The 3rd heart sound (S3) is normally heard during auscultation of younger individuals, but it is also common in many patients with heart failure. Compared to the 1st and 2nd heart sounds, S3 has low amplitude and low frequency content, making it hard to detect (both manually for the physician and automatically by a detection algorithm). We present an algorithm based on a recurrence time statistic which is sensitive to changes in a reconstructed state space, particularly for detection of transitions with very low energy. Heart sound signals from ten children were used in this study. Most S3 occurrences were detected (98 %), but the amount of false extra detections was rather high (7% of the heart cycles). In conclusion, the method seems capable of detecting S3 with high accuracy and robustness.

sted, utgiver, år, opplag, sider
2006. s. 1040-1043
Serie
IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings, ISSN 1520-6149
Emneord [en]
acoustic, signal detection, bioacoustics, signal reconstruction, statistics, heart sound, auscultation, heart failure, reconstructed state space, recurrence time statistics
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-14058OAI: oai:DiVA.org:liu-14058DiVA, id: diva2:22546
Tilgjengelig fra: 2006-10-09 Laget: 2006-10-09 Sist oppdatert: 2009-04-21
Inngår i avhandling
1. Processing of the Phonocardiographic Signal: methods for the intelligent stethoscope
Åpne denne publikasjonen i ny fane eller vindu >>Processing of the Phonocardiographic Signal: methods for the intelligent stethoscope
2006 (engelsk)Licentiatavhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Phonocardiographic signals contain bioacoustic information reflecting the operation of the heart. Normally there are two heart sounds, and additional sounds indicate disease. If a third heart sound is present it could be a sign of heart failure whereas a murmur indicates defective valves or an orifice in the septal wall. The primary aim of this thesis is to use signal processing tools to improve the diagnostic value of this information. More specifically, three different methods have been developed:

• A nonlinear change detection method has been applied to automatically detect heart sounds. The first and the second heart sounds can be found using recurrence times of the first kind while the third heart sound can be found using recurrence times of the second kind. Most third heart sound occurrences were detected (98 %), but the amount of false extra detections was rather high (7 % of the heart cycles).

• Heart sounds obscure the interpretation of lung sounds. A new method based on nonlinear prediction has been developed to remove this undesired disturbance. High similarity was obtained when comparing actual lung sounds with lung sounds after removal of heart sounds.

• Analysis methods such as Shannon energy, wavelets and recurrence quantification analysis were used to extract information from the phonocardiographic signal. The most prominent features, determined by a feature selection method, were used to create a new feature set for heart murmur classification. The classification result was 86 % when separating patients with aortic stenosis, mitral insufficiency and physiological murmurs.

The derived methods give reasonable results, and they all provide a step forward in the quest for an intelligent stethoscope, a universal phonocardiography tool able to enhance auscultation by improving sound quality, emphasizing abnormal events in the heart cycle and distinguishing different heart murmurs.

sted, utgiver, år, opplag, sider
Institutionen för medicinsk teknik, 2006. s. 75
Serie
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1253
Emneord
Bioacoustics, phonocardiographic, signal processing, heart sound, lung sound, nonlinear dynamics
HSV kategori
Identifikatorer
urn:nbn:se:liu:diva-7538 (URN)LiU-TEK-LIC-2006:34 (Lokal ID)91-85523-59-3 (ISBN)LiU-TEK-LIC-2006:34 (Arkivnummer)LiU-TEK-LIC-2006:34 (OAI)
Presentation
2006-05-31, IMT1, Campus US, Linköpings universitet, Linköping, 00:00 (engelsk)
Opponent
Veileder
Tilgjengelig fra: 2006-10-09 Laget: 2006-10-09 Sist oppdatert: 2010-01-14bibliografisk kontrollert

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Ahlström, ChristerHult, PeterAsk, Per

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