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 online resource (312 p.)
• Soggetto topico: Information technology industries
• Soggetto non controllato: action classification; action tremors; ant colony optimization; artificial neural network; assisted living; automatic classification; Barrett neoplasia; biomedicine; biosensors; Blind Source Separation; brain cancer; Brain-Computer Interface; cognition; color vision deficiency; compressed sensing; computer vision; contact endoscopy; contactless measurement; Convolutional Neural Network; convolutional neural networks; convolutional neural networks (CNNs); deep learning; Doppler radar; electrocardiogram (ECG) coder; eye tracking; feature extraction; feature selection; Fitbit; fuzzy sets; genetic algorithm; glioblastoma; hardware friendly; healthcare; heart rate; heart rate estimation; Hexoskin; high efficiency video coding; human motor behavior; human-computer interaction; hyperspectral imaging; image analysis; image processing; image re-coloring; image-guided surgery; infection diseases; intraoperative imaging; laryngeal cancer; low complexity; machine learning; medical optics and biotechnology; motorized wheelchair; Movement Related Independent Component; n/a; narrow band imaging; navigation; non-uniform sampling; optical pathology; Oura; Parkinson's disease; particle swarm optimization; pose tracking; real-time processing; recurrent neural networks; RGB-thermal image processing; sleep; strain gauge; support vector machine; telecardiology; tissue characterization; tissue detection; tissue diagnostics; tremor quantification; ultrasonic proximity sensors; upper GI tract; vehicular ad-hoc networks; video pletysmography; visual assistance; visual perception; visually challenged; vital signs; Wavelet Transform; wearables; Withings
• 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