Smart Sensors for Healthcare and Medical Applications

• Autore: Formica Domenico
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (432 p.)
• Soggetto topico: Humanities; Social interaction
• Soggetto non controllato: 30-s chair stand test; abdominal movement signal; accelerator; accelerometer; acoustic sensor; active control system; air flow; air-filled cell; alternating pressure air mattress; archery; artificial neural network; automatic oxygen concentrator; automatic pushing analysis; automatic robotic platform; BCI; bi-directional; blood pressure; body movements detection; body pressure distribution; brain monitoring; breathing pattern; calibration; cancer nodules detection; cardiac monitoring; CCD/CMOS; cerebral palsy; cervical stiffness; cervix; computerized assessment methods; contactless; COPD; cross-talk; dietary monitoring; dosimetry; ECG electrode potentials; ECG electrode swaps; EEG; electrical network; electrostatic gait signal; EMG; epilepsy; error reduction; fetal movement monitor; fetal movement simulator; fiber Bragg grating; fiber Bragg grating sensors (FBGs); fiber Bragg gratings; force myography; force sensitive resistor; forearm; frailty syndrome; functional magnetic resonance imaging (fMRI); gait analysis; gait correction; game-based rehabilitation exercises; general regression neural network; graph theory; grasping actions detection; healthcare; hypopnea; improved Detrended Cross-Correlation Analysis cross-correlation coefficient; inertial sensor; Kinect sensor; kinematics; linear regression; LSTM-RNN; machine learning; markerless motion capture; maternal abdomen model; measurements; measuring system; mobile EEG recordings; montage-replaceable headsets; motion detection; motion tracking sensors; motor assessment; MR-compatible measuring systems; MRI; MSMinv transformation; multiple sclerosis; muscle activity; n/a; natural sleep environments; neural network; non-contact monitoring; non-invasive measurement; oxygen concentrator; oxygen delivery; oxygen saturation; oxygen therapy; partial least squares regression; people counting; personalized digital medicine; phantom; photodiodes; phototransistors (MOSFETs); photovoltaic sensor; physical activity; piezoelectric diaphragm; plastic optical fiber; portable oxygen concentrator; PPG; precision sports; predictive analysis; pregnancy; prosthetic fitting; pulse wave signals; radiation-induced current; random forest; reconstructing correct ECG leads; regression; remote support for pathologists; respiration monitoring; respiratory medicine; respiratory monitoring; respiratory rate; RGB-D sensors; ring-type biosensor; SCI patients; signal processing; sit-to-stand; sleep apnea syndrome; sleep-wake detection; smart textiles; stiffness analysis; surface EMG; synchrosqueezing transform; T10MW; thermal imaging; thoracic movement signal; time of flight; time of flight sensor; torsional wave; triaxial accelerometer; ultrasound analysis; unicolor limb-chest electrodes; visual analysis; WCT potential change; wearable sensors; wearable systems
• Persona (resp. second.): SchenaEmiliano; FormicaDomenico
• Sommario/riassunto: This book focuses on new sensing technologies, measurement techniques, and their applications in medicine and healthcare. Specifically, the book briefly describes the potential of smart sensors in the aforementioned applications, collecting 24 articles selected and published in the Special Issue "Smart Sensors for Healthcare and Medical Applications". We proposed this topic, being aware of the pivotal role that smart sensors can play in the improvement of healthcare services in both acute and chronic conditions as well as in prevention for a healthy life and active aging. The articles selected in this book cover a variety of topics related to the design, validation, and application of smart sensors to healthcare.
• Titolo autorizzato: Smart Sensors for Healthcare and Medical Applications
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557489003321
• Lo trovi qui: Univ. Federico II