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Heart sound cancellation from lung sound recordings using recurrence time statistics and nonlinear prediction.
Linköpings universitet, Institutionen för medicinsk teknik.
Linköpings universitet, Institutionen för medicinsk teknik.ORCID-id: 0000-0001-5997-3294
Linköpings universitet, Institutionen för medicinsk teknik.
2005 (Svenska)Ingår i: Medicinteknikdagarna, 2005, Vol. 12, s. 812-815Konferensbidrag, Muntlig presentation med publicerat abstract (Övrigt vetenskapligt)
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.

Ort, förlag, år, upplaga, sidor
2005. Vol. 12, s. 812-815
Nyckelord [en]
Bioacoustics, heart sound (HS), lung sound (LS), nonlinear prediction, recurrence time statistics.
Nationell ämneskategori
Medicinsk apparatteknik Signalbehandling
Identifikatorer
URN: urn:nbn:se:liu:diva-122019DOI: 10.1109/LSP.2005.859528OAI: oai:DiVA.org:liu-122019DiVA, id: diva2:861256
Konferens
Medicinteknikdagarna, Södertälje
Tillgänglig från: 2015-10-16 Skapad: 2015-10-16 Senast uppdaterad: 2015-10-23

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Av författaren/redaktören
Ahlström, ChristerHult, PeterAsk, Per
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Institutionen för medicinsk teknik
Medicinsk apparatteknikSignalbehandling

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