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Heart sound cancellation from lung sound recordings using recurrence time statistics and nonlinear prediction.
Linköping University, Department of Biomedical Engineering.
Linköping University, Department of Biomedical Engineering.ORCID iD: 0000-0001-5997-3294
Linköping University, Department of Biomedical Engineering.
2005 (Swedish)In: Medicinteknikdagarna, 2005, Vol. 12, 812-815 p.Conference paper, Abstract (Other academic)
Abstract [en]

Heart sounds (HS) obscure the interpretation of lung sounds (LS). This letter presents a new method to detect and remove this undesired disturbance. The HS detection algorithm is based on a recurrence time statistic that is sensitive to changes in a reconstructed state space. Signal segments that are found to contain HS are removed, and the arising missing parts are replaced with predicted LS using a nonlinear prediction scheme. The prediction operates in the reconstructed state space and uses an iterated integrated nearest trajectory algorithm. The HS detection algorithm detects HS with an error rate of 4% false positives and 8% false negatives. The spectral difference between the reconstructed LS signal and an LS signal with removed HS was 0 34 0 25, 0 50 0 33, 0 46 0 35, and 0 94 0 64 dB/Hz in the frequency bands 20–40, 40–70, 70–150, and 150–300 Hz, respectively. The cross-correlation index was found to be 99.7%, indicating excellent similarity between actual LS and predicted LS. Listening tests performed by a skilled physician showed high-quality auditory results.

Place, publisher, year, edition, pages
2005. Vol. 12, 812-815 p.
Keyword [en]
Bioacoustics, heart sound (HS), lung sound (LS), nonlinear prediction, recurrence time statistics.
National Category
Medical Equipment Engineering Signal Processing
URN: urn:nbn:se:liu:diva-122019DOI: 10.1109/LSP.2005.859528OAI: diva2:861256
Medicinteknikdagarna, Södertälje
Available from: 2015-10-16 Created: 2015-10-16 Last updated: 2015-10-23

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Ahlström, ChristerHult, PeterAsk, Per
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ReferencesLink to record
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