Kather, Jakob Nikolas ORCID: 0000-0002-3730-5348, Hermann, Thomas ORCID: 0000-0001-7975-4363, Bukschat, Yannick, Kramer, Tilmann, Schad, Lothar R. and Zoellner, Frank Gerrit (2017). Polyphonic sonification of electrocardiography signals for diagnosis of cardiac pathologies. Sci Rep, 7. LONDON: NATURE PUBLISHING GROUP. ISSN 2045-2322

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Abstract

Electrocardiography (ECG) data are multidimensional temporal data with ubiquitous applications in the clinic. Conventionally, these data are presented visually. It is presently unclear to what degree data sonification (auditory display), can enable the detection of clinically relevant cardiac pathologies in ECG data. In this study, we introduce a method for polyphonic sonification of ECG data, whereby different ECG channels are simultaneously represented by sound of different pitch. We retrospectively applied this method to 12 samples from a publicly available ECG database. We and colleagues from our professional environment then analyzed these data in a blinded way. Based on these analyses, we found that the sonification technique can be intuitively understood after a short training session. On average, the correct classification rate for observers trained in cardiology was 78%, compared to 68% and 50% for observers not trained in cardiology or not trained in medicine at all, respectively. These values compare to an expected random guessing performance of 25%. Strikingly, 27% of all observers had a classification accuracy over 90%, indicating that sonification can be very successfully used by talented individuals. These findings can serve as a baseline for potential clinical applications of ECG sonification.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Kather, Jakob NikolasUNSPECIFIEDorcid.org/0000-0002-3730-5348UNSPECIFIED
Hermann, ThomasUNSPECIFIEDorcid.org/0000-0001-7975-4363UNSPECIFIED
Bukschat, YannickUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kramer, TilmannUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schad, Lothar R.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zoellner, Frank GerritUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-236462
DOI: 10.1038/srep44549
Journal or Publication Title: Sci Rep
Volume: 7
Date: 2017
Publisher: NATURE PUBLISHING GROUP
Place of Publication: LONDON
ISSN: 2045-2322
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
Multidisciplinary SciencesMultiple languages
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/23646

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