Zobrazeno 1 - 10 of 161 pro vyhledávání: '"Kyung-Ki Kim"'
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Akademický článek
Electrocardiography Classification with Leaky Integrate-and-Fire Neurons in an Artificial Neural Network-Inspired Spiking Neural Network Framework
Autor: Amrita Rana, Kyung Ki Kim
Publikováno v: Sensors, Vol 24, Iss 11, p 3426 (2024)
Monitoring heart conditions through electrocardiography (ECG) has been the cornerstone of identifying cardiac irregularities. Cardiologists often rely on a detailed analysis of ECG recordings to pinpoint deviations that are indicative of heart anomal
Externí odkaz: https://doaj.org/article/3b138be0967d4968a504deac1563a80b
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10
A Novel Spiking Neural Network for ECG signal Classification
Autor: Amrita Rana, Kyung Ki Kim
Publikováno v: JOURNAL OF SENSOR SCIENCE AND TECHNOLOGY. 30:20-24
The electrocardiogram (ECG) is one of the most extensively employed signals used to diagnose and predict cardiovascular diseases (CVDs). In recent years, several deep learning (DL) models have been proposed to improve detection accuracy. Among these,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::06a9d24d0c8460f4b50eef935a6fb7dd
https://doi.org/10.46670/jsst.2021.30.1.20
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Plný text Recenzováno Digitální knihovna AV ČR
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