Further, the book highlights recent scientific research on artificial neural networks in biomedical applications, addressing the fundamentals of artificial neural networks, support vector machines and other advanced classifiers, as well as their design and optimization.
In addition to exploring recent endeavours in the multidisciplinary domain of sensors, the book introduces readers to basic definitions and features, signal filters and processing, biomedical sensors and automation of biomeasurement systems. The target audience includes researchers and students at engineering and medical schools, researchers and engineers in the biomedical industry, medical doctors and healthcare professionals.
Further, the book highlights recent scientific research on artificial neural networks in biomedical applications, addressing the fundamentals of artificial neural networks, support vector machines and other advanced classifiers, as well as their design and optimization.
In addition to exploring recent endeavours in the multidisciplinary domain of sensors, the book introduces readers to basic definitions and features, signal filters and processing, biomedical sensors and automation of biomeasurement systems. The target audience includes researchers and students at engineering and medical schools, researchers and engineers in the biomedical industry, medical doctors and healthcare professionals.

Classification in BioApps: Automation of Decision Making
447
Classification in BioApps: Automation of Decision Making
447Hardcover(1st ed. 2018)
Product Details
ISBN-13: | 9783319659800 |
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Publisher: | Springer International Publishing |
Publication date: | 12/15/2017 |
Series: | Lecture Notes in Computational Vision and Biomechanics , #26 |
Edition description: | 1st ed. 2018 |
Pages: | 447 |
Product dimensions: | 6.10(w) x 9.25(h) x (d) |