Deep learning signal processing methods von john arlene (6 Ergebnisse)

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Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on the development of multisensor fusion algorithms for wearable devices that are useful in ambulatory health monitoring using signal-processing and deep learning-based methods. The algorithms described account for the signal quality prior to fusion, in order to enable reliable inferences without contributing to additional computational overhead. The content discussed is beneficial in the broad application of multisensor fusion, as the algorithms developed or discussed in the final chapters are generalized cases of the methods developed in the initial chapters, offering relevance to the broader multisensor fusion community.Provides a single-source reference to the history, methods and analysis of fusion algorithms 244 pp. Englisch.…

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Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Chapter 1. Introduction.- Chapter 2. Fusion- a multi-domain topic.- Chapter 3. Signal quality indicators for ECG signals obtained from wearable IoT sensors.- Chapter 4. Multi-sensor fusion for heartrate estimation.- Chapter 5. Multimodal data fusion for heartbeat detection.- Chapter 6. Multiresolution fusion for sleep apnea detection.- Chapter 7. Multi-level fusion for atrial fibrillation detection.- Chapter 8. Conclusion.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 280 pp. Englisch. …

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