Sensors, Signal and Image Processing in Biomedicine and Assisted Living
Iakovidis, Dimitris (editor)
This is a collection of recent advances on sensors, systems, and signal/image processing methods for biomedicine and assisted living. It includes methods for heart, sleep, and vital sign measurement; human motion-related signal analysis; assistive systems; and image- and video-based diagnostic systems. It provides an overview of the state-of-the-art challenges in the respective topics and future directions. This will be useful for researchers in various domains, including computer science, electrical engineering, biomedicine, and healthcare researchers.
Keywordshigh efficiency video coding; low complexity; hardware friendly; vehicular ad-hoc networks; color vision deficiency; image re-coloring; visual assistance; video pletysmography; image processing; heart rate estimation; human-computer interaction; biomedicine; healthcare; assisted living; action classification; human motor behavior; computer vision; deep learning; pose tracking; Brain-Computer Interface; Blind Source Separation; Movement Related Independent Component; Wavelet Transform; Convolutional Neural Network; brain cancer; hyperspectral imaging; intraoperative imaging; feature selection; image-guided surgery; genetic algorithm; particle swarm optimization; ant colony optimization; support vector machine; machine learning; visual perception; electrocardiogram (ECG) coder; non-uniform sampling; telecardiology; compressed sensing; strain gauge; tremor quantification; Parkinson’s disease; action tremors; wearables; biosensors; sleep; Fitbit; Oura; Hexoskin; Withings; cognition; medical optics and biotechnology; optical pathology; convolutional neural networks; tissue diagnostics; tissue characterization; glioblastoma; contactless measurement; vital signs; RGB-thermal image processing; infection diseases; artificial neural network; Doppler radar; heart rate; real-time processing; visually challenged; navigation; image analysis; fuzzy sets; convolutional neural networks (CNNs); eye tracking; motorized wheelchair; ultrasonic proximity sensors; laryngeal cancer; contact endoscopy; narrow band imaging; automatic classification; feature extraction; Barrett neoplasia; tissue detection; recurrent neural networks; upper GI tract; n/a
Webshop linkhttps://mdpi.com/books/pdfview ...
Publication date and placeBasel, Switzerland, 2020
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