Signal Processing and Machine Learning for Biomedical Big Data

Ervin Sejdic, Tiago H. Falk

CRC Press
Published July 5, 2018
Reference - 606 Pages - 216 B/W Illustrations
ISBN 9781498773454 - CAT# K29560

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  • Describes signal processing tools that can be leveraged by corporations to utilize and analyze Big Data.
  • Introduces signal processing tools and algorithms to science and medical personnel who need to understand them.
  • Provides theoretical advances and practical applications of signal processing in Big Data related to various medical fields.
  • Reviews the latest research on Big Data related to trauma outcome predictions and autonomous resuscitation.
  • Contains extensive references at the end of each chapter to enhance further study.


This will be a comprehensive, multi-contributed reference work that will detail the latest research and developments in biomedical signal processing related to big data medical analysis. It will describe signal processing, machine learning, and parallel computing strategies to revolutionize the world of medical analytics and diagnosis as presented by world class researchers and experts in this important field. The chapters will desribe tools that can be used by biomedical and clinical practitioners as well as industry professionals. It will give signal processing researchers a glimpse into the issues faced with Big Medical Data.


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