Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Deep Learning and Signal-Processing Methods for Multisensor Data Fusion: Applications to Ambulatory Health Monitoring

Deep Learning and Signal-Processing Methods for Multisensor Data Fusion: Applications to Ambulatory Health Monitoring

John, Arlene
Cardiff, Barry
John, Deepu

Hardcover

Technology & EngineeringGeneral Computers

Currently unavailable to order

ISBN10: 3031967232
ISBN13: 9783031967238
Publisher: Springer
Published: Jan 11 2026
Pages: 244
Weight: 1.38
Height: 0.77 Width: 6.42 Depth: 9.45
Language: English

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.

Also in

Technology & Engineering

View All