In the present work, we introduce a novel technique to identify the infarct time from time-series meaurements of the cardiac troponin T (cTnT) into plasma. Although this information is extremely valuable from a clinical standpoint, it is not always possible to establish with certainty the exact infarct time. Here, we show how the infarct time can be reliably estimated from the cTnT release data in the first few hours after AMI, by using an optimization-based procedure and a model-based approach. To validate the present approach, we have used a clinical dataset of patients in whom the infarct has been induced and, therefore, the infarct time is certain.

Identification of the infarct time in patients with acute myocardial infarction / Procopio, Anna; De Rosa, Salvatore; Covello, Caterina; Merola, Alessio; Sabatino, Jolanda; De Luca, Alessia; Liebetrau, Christoph; Hamm, Christian W.; Indolfi, Ciro; Amato, Francesco; Cosentino, Carlo. - (2019), pp. 1-4. (Intervento presentato al convegno IEEE EMBC 2019 tenutosi a berlino nel 23-27 luglio 2019).

Identification of the infarct time in patients with acute myocardial infarction

Francesco Amato;
2019

Abstract

In the present work, we introduce a novel technique to identify the infarct time from time-series meaurements of the cardiac troponin T (cTnT) into plasma. Although this information is extremely valuable from a clinical standpoint, it is not always possible to establish with certainty the exact infarct time. Here, we show how the infarct time can be reliably estimated from the cTnT release data in the first few hours after AMI, by using an optimization-based procedure and a model-based approach. To validate the present approach, we have used a clinical dataset of patients in whom the infarct has been induced and, therefore, the infarct time is certain.
2019
Identification of the infarct time in patients with acute myocardial infarction / Procopio, Anna; De Rosa, Salvatore; Covello, Caterina; Merola, Alessio; Sabatino, Jolanda; De Luca, Alessia; Liebetrau, Christoph; Hamm, Christian W.; Indolfi, Ciro; Amato, Francesco; Cosentino, Carlo. - (2019), pp. 1-4. (Intervento presentato al convegno IEEE EMBC 2019 tenutosi a berlino nel 23-27 luglio 2019).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/757650
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