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Deep Learning and Signal-Processing Methods for Multisensor Data Fusion

Deep Learning and Signal-Processing Methods for Multisensor Data ...

Applications to Ambulatory Health Monitoring

Inhalt

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.

Bibliografische Angaben

Oktober 2025, Englisch
Springer International Publishing
978-3-031-96723-8

Schlagworte

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