作者
Kilin Shi, Sven Schellenberger, Leon Weber, Jan Philipp Wiedemann, Fabian Michler, Tobias Steigleder, Anke Malessa, Fabian Lurz, Christoph Ostgathe, Robert Weigel, Alexander Koelpin
发表日期
2019/7/23
研讨会论文
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
页码范围
6677-6680
出版商
IEEE
简介
Sounds caused by the action of the heart reflect both its health as well as deficiencies and are examined by physicians since antiquity. Pathologies of the valves, e.g. insufficiencies and stenosis, cardiac effusion, arrhythmia, inflammation of the surrounding tissue and other diagnosis can be reached by experienced physicians. However, practice is needed to assess the findings correctly. Furthermore, stethoscopes do not allow for long-term monitoring of a patient. Recently, radar technology has shown the ability to perform continuous touchless and thereby burden-free heart sound measurements. In order to perform automated classification of the signals, the first and most important step is to segment the heart sounds into their physiological phases. This paper examines the use of different Long Short-Term Memory (LSTM) architectures for this purpose based on a large dataset of radar-recorded heart sounds …
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K Shi, S Schellenberger, L Weber, JP Wiedemann… - 2019 41st Annual International Conference of the IEEE …, 2019