A Multilayer LSTM Auto-Encoder for Fetal ECG Anomaly Detection...18th International Conference on Wearable Micro and Nano Technologies for Personalized Health (virtual), November 8-10, 2021.
The paper introduces a multilayer long short-term memory (LSTM) based auto-encoder network to spot abnormalities in fetal ECG. The LSTM network was used to detect patterns in the time series, reconstruct errors and classify a given segment as an anomaly or not. The proposed anomaly detection method...
| Publicado en: | Studies in Health Technology & Informatics Vol. 285; pp. 147 - 153 |
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| Autores principales: | , , , , |
| Formato: | equations & formulas proceedings research tables/charts tracings Journal Article |
| Publicado: |
Sage Publications Inc.
2021
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| Acceso en línea: | Ver este registro en EBSCOhost |