Sensors, Signal and Image Processing in Biomedicine and Assisted Living

• Autore: Iakovidis Dimitris
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
• Descrizione fisica: 1 electronic resource (312 p.)
• Soggetto topico: Information technology industries
• Soggetto non controllato: high 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
• Persona (resp. second.): IakovidisDimitris
• Sommario/riassunto: 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.
• Titolo autorizzato: Sensors, Signal and Image Processing in Biomedicine and Assisted Living
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557758703321
• Lo trovi qui: Univ. Federico II