Smart Sensors for Healthcare and Medical Applications

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 &qu...

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Bibliographic Details
Other Authors: Formica, Domenico (Editor), Schena, Emiliano (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
BCI
MRI
EMG
EEG
PPG
n/a
Online Access:DOAB: download the publication
DOAB: description of the publication
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520 |a 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. 
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650 7 |a Humanities  |2 bicssc 
650 7 |a Social interaction  |2 bicssc 
653 |a radiation-induced current 
653 |a dosimetry 
653 |a photodiodes 
653 |a phototransistors (MOSFETs) 
653 |a photovoltaic sensor 
653 |a CCD/CMOS 
653 |a cancer nodules detection 
653 |a phantom 
653 |a stiffness analysis 
653 |a ultrasound analysis 
653 |a visual analysis 
653 |a automatic robotic platform 
653 |a remote support for pathologists 
653 |a gait analysis 
653 |a gait correction 
653 |a electrostatic gait signal 
653 |a improved Detrended Cross-Correlation Analysis cross-correlation coefficient 
653 |a measuring system 
653 |a measurements 
653 |a contactless 
653 |a respiratory rate 
653 |a breathing pattern 
653 |a ECG electrode swaps 
653 |a ECG electrode potentials 
653 |a WCT potential change 
653 |a reconstructing correct ECG leads 
653 |a MSMinv transformation 
653 |a unicolor limb-chest electrodes 
653 |a torsional wave 
653 |a cervix 
653 |a pregnancy 
653 |a cervical stiffness 
653 |a fiber Bragg gratings 
653 |a smart textiles 
653 |a wearable systems 
653 |a cardiac monitoring 
653 |a respiratory monitoring 
653 |a precision sports 
653 |a archery 
653 |a body pressure distribution 
653 |a air-filled cell 
653 |a alternating pressure air mattress 
653 |a time of flight 
653 |a air flow 
653 |a active control system 
653 |a mobile EEG recordings 
653 |a montage-replaceable headsets 
653 |a BCI 
653 |a fiber Bragg grating 
653 |a plastic optical fiber 
653 |a non-invasive measurement 
653 |a pulse wave signals 
653 |a blood pressure 
653 |a partial least squares regression 
653 |a people counting 
653 |a bi-directional 
653 |a motion detection 
653 |a time of flight sensor 
653 |a force myography 
653 |a prosthetic fitting 
653 |a regression 
653 |a calibration 
653 |a error reduction 
653 |a linear regression 
653 |a random forest 
653 |a general regression neural network 
653 |a cross-talk 
653 |a force sensitive resistor 
653 |a MRI 
653 |a EMG 
653 |a graph theory 
653 |a electrical network 
653 |a muscle activity 
653 |a forearm 
653 |a COPD 
653 |a oxygen concentrator 
653 |a oxygen therapy 
653 |a automatic oxygen concentrator 
653 |a physical activity 
653 |a machine learning 
653 |a respiratory medicine 
653 |a portable oxygen concentrator 
653 |a oxygen delivery 
653 |a cerebral palsy 
653 |a game-based rehabilitation exercises 
653 |a computerized assessment methods 
653 |a motion tracking sensors 
653 |a Kinect sensor 
653 |a EEG 
653 |a PPG 
653 |a epilepsy 
653 |a signal processing 
653 |a brain monitoring 
653 |a artificial neural network 
653 |a predictive analysis 
653 |a dietary monitoring 
653 |a healthcare 
653 |a ring-type biosensor 
653 |a personalized digital medicine 
653 |a frailty syndrome 
653 |a sit-to-stand 
653 |a 30-s chair stand test 
653 |a wearable sensors 
653 |a fetal movement simulator 
653 |a fetal movement monitor 
653 |a maternal abdomen model 
653 |a acoustic sensor 
653 |a accelerometer 
653 |a piezoelectric diaphragm 
653 |a fiber Bragg grating sensors (FBGs) 
653 |a functional magnetic resonance imaging (fMRI) 
653 |a grasping actions detection 
653 |a motor assessment 
653 |a MR-compatible measuring systems 
653 |a abdominal movement signal 
653 |a hypopnea 
653 |a LSTM-RNN 
653 |a neural network 
653 |a oxygen saturation 
653 |a sleep apnea syndrome 
653 |a sleep-wake detection 
653 |a synchrosqueezing transform 
653 |a triaxial accelerometer 
653 |a thoracic movement signal 
653 |a multiple sclerosis 
653 |a kinematics 
653 |a surface EMG 
653 |a accelerator 
653 |a inertial sensor 
653 |a T10MW 
653 |a markerless motion capture 
653 |a automatic pushing analysis 
653 |a SCI patients 
653 |a RGB-D sensors 
653 |a respiration monitoring 
653 |a non-contact monitoring 
653 |a body movements detection 
653 |a thermal imaging 
653 |a natural sleep environments 
653 |a n/a 
856 4 0 |a www.oapen.org  |u https://mdpi.com/books/pdfview/book/4095  |7 0  |z DOAB: download the publication 
856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/76648  |7 0  |z DOAB: description of the publication