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Sensors, Signal and Image Processing in Biomedicine and Assisted Living
Sensors, Signal and Image Processing in Biomedicine and Assisted Living
Autore Iakovidis Dimitris
Pubbl/distr/stampa 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
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557758703321
Iakovidis Dimitris  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Signal Processing Using Non-invasive Physiological Sensors
Signal Processing Using Non-invasive Physiological Sensors
Autore Niazi Imran Khan
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (222 p.)
Soggetto topico Medical equipment and techniques
Soggetto non controllato acoustic
AMR voice
auscultation sites
biomedical signal processing
blink
brain-computer interface
Brain-Computer Interface
channel of interest
channel selection
classification
computer aided diagnosis
congenital heart disease
convolution neural network (CNN)
convolutional neural network (CNN)
deep neural network
discrete wavelet transform
ECG
ECG derived respiration (EDR)
EEG
Electrocardiogram (ECG)
electroencephalogram (EEG)
electroencephalography
EMG
emotion recognition
empirical mode decomposition
eye blink
feature extraction
feature selection and reduction
functional near-infrared spectroscopy
GSR
home automation
human machine interface (HMI)
hybrid brain-computer interface (BCI)
hypertension
image gradient
image processing
long short-term memory (LSTM)
machine learning
mel-frequency cepstral coefficients
mental imagery
mobile
motor imagery
movement intention
movement-related cortical potential
multiscale principal component analysis
myoelectric control
neurorehabilitation
Open-CV
pattern recognition
phonocardiogram
physiological signals
pulse plethysmograph
quadriplegia
Raspberry Pi
reaction
reflex
region of interest
rehabilitation
respiratory rate (RR)
response
short-time Fourier transform (STFT)
sound
startle
statistical analysis
steady-state visually evoked potential (SSVEP)
stroke
successive decomposition index
support vector machines
wheelchair
z-score method
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566473903321
Niazi Imran Khan  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui