Signal Processing in Medicine and Biology
Innovations in Big Data Processing
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Beschreibung
Signal Processing in Medicine and Biology: Innovations in Big Data Processing provides an interdisciplinary look at state-of-the-art innovations in biomedical signal processing, especially as it applies to large data sets and machine learning. Chapters are presented with detailed mathematics and complete implementation specifics so that readers can completely master these techniques. The book presents tutorials and examples of successful applications and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology at the intersection between healthcare, engineering, and computer science.
- Presents state-of-the-art innovations in biomedical signal processing;
- Promotes collaboration in signal processing research and biomedicine;
- Includes tutorials and examples of successful applications.
Signal Processing in Medicine and Biology: Innovations in Big Data Processing provides an interdisciplinary look at state-of-the-art innovations in biomedical signal processing, especially as it applies to large data sets and machine learning. Chapters are presented with detailed mathematics and complete implementation specifics so that readers can completely master these techniques. The book presents tutorials and examples of successful applications and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology at the intersection between healthcare, engineering, and computer science.
Presents state-of-the-art innovations in biomedical signal processing Promotes collaboration in signal processing research and biomedicine Includes tutorials and examples of successful applications
Autor*in
Iyad Obeid
Themen in »Signal Processing in Medicine and Biology«
Adaptive Filtering Big Data Biomedical Engineering Biomedical Instrumentation Biomedical Nanosensors Data Classification Linear Filtering and Prediction Machine Learning Medical Imaging Nonlinear Filtering and Prediction Signal Analysis Signal Processing Time-Frequency