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In particular we focus on an ECG abnormality called ST-elevation which is an important indicator of a myocardial infarction. Since myocardial infarction represents a life-threatening condition it is of essential value to detect an ST-elevation as early as possible. As part of the evaluated sound designs, we propose two novel sonifications: (i) <jats:italic>Polarity sonification<\/jats:italic>, a continuous parameter-mapping sonification using a formant synthesizer and (ii) <jats:italic>Stethoscope sonification<\/jats:italic>, a combination of the ECG signal and a stethoscope recording. The other two designs, (iii) the <jats:italic>water ambience sonification<\/jats:italic> and the (iv) <jats:italic>morph sonification<\/jats:italic>, were presented in our previous work about ECG sonification (Aldana Blanco AL, Steffen G, Thomas H (2016) In: Proceedings of Interactive Sonification Workshop (ISon). Bielefeld, Germany). The study evaluates three components across the proposed sonifications (1) detection performance, meaning if participants are able to detect a transition from healthy to unhealthy states, (2) classification accuracy, that evaluates if participants can accurately classify the severity of the pathology, and (3) aesthetics and usability (pleasantness, informativeness and long-term listening). The study results show that the <jats:italic>polarity<\/jats:italic> design had the highest accuracy rates in the detection task whereas the <jats:italic>stethoscope sonification<\/jats:italic> obtained the better score in the classification assignment. Concerning aesthetics, the <jats:italic>water ambience sonification<\/jats:italic> was regarded as the most pleasant. Furthermore, we found a significant difference between sound\/music experts and non-experts in terms of the error rates obtained in the detection task using the <jats:italic>morph sonification<\/jats:italic> and also in the classification task using the <jats:italic>stethoscope sonification<\/jats:italic>. Overall, the group of experts obtained lower error rates than the group of non-experts, which means that further training could improve accuracy rates and, particularly for designs that rely mainly on pitch variations, additional training is needed in the non-experts group.\n<\/jats:p>","DOI":"10.1007\/s12193-020-00319-x","type":"journal-article","created":{"date-parts":[[2020,2,19]],"date-time":"2020-02-19T11:03:48Z","timestamp":1582110228000},"page":"207-218","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["ECG sonification to support the diagnosis and monitoring of myocardial infarction"],"prefix":"10.1007","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2585-5155","authenticated-orcid":false,"given":"Andrea Lorena","family":"Aldana Blanco","sequence":"first","affiliation":[]},{"given":"Steffen","family":"Grautoff","sequence":"additional","affiliation":[]},{"given":"Thomas","family":"Hermann","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,2,19]]},"reference":[{"key":"319_CR1","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1166\/jmihi.2011.1032","volume":"1","author":"S Al-Kindi","year":"2011","unstructured":"Al-Kindi S, Tafrershi R (2011) Real-time detection of myocardial infarction by evaluation of ST-segment in digital ECG. 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