Time–frequency time–space LSTM for robust classification of physiological signals
Abstract Automated analysis of physiological time series is utilized for many clinical applications in medicine and life sciences. Long short-term memory (LSTM) is a deep recurrent neural network architecture used for classification of time-series data. Here time–frequency and time–space properties...
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| Formato: | article |
| Lenguaje: | EN |
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Nature Portfolio
2021
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| Acceso en línea: | https://doaj.org/article/388b4a827ec147799ddb5b88df51f304 |
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