@article{930028,
      note = {"This edited volume consists of the expanded versions of  the exceptional papers presented at the 2018 IEEE Signal  Processing in Medicine and Biology (IEEE SPMB) Symposium  held at Temple University in Philadelphia, Pennsylvania,  USA"--Page v.},
      author = {Obeid, Iyad, and Selesnick, Ivan. and Picone, Joseph.},
      url = {http://library.usi.edu/record/930028},
      title = {Signal processing in medicine and biology : emerging  trends in research and applications /. IEEE Signal  Processing in Medicine and Biology Symposium},
      publisher = {Springer,},
      abstract = {This book covers emerging trends in signal processing  research and biomedical engineering, exploring the ways in  which signal processing plays a vital role in applications  ranging from medical electronics to data mining of  electronic medical records. Topics covered include  statistical modeling of electroencephalograph data for  predicting or detecting seizure, stroke, or Parkinsons;  machine learning methods and their application to  biomedical problems, which is often poorly understood, even  within the scientific community; signal analysis; medical  imaging; and machine learning, data mining, and  classification. The book features tutorials and examples of  successful applications that will appeal to a wide range of  professionals and researchers interested in applications of  signal processing, medicine, and biology. Covers  traditional signal processing topics within biomedicine  Promotes collaboration between healthcare practitioners and  signal processing researchers Presents tutorials and  examples of successful applications.},
      recid = {930028},
      pages = {1 online resource (285 pages)},
      address = {Cham :},
      year = {2020},
}