top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Advanced Signal Processing in Wearable Sensors for Health Monitoring
Advanced Signal Processing in Wearable Sensors for Health Monitoring
Autore Abbod Maysam
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (206 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato automated dietary monitoring
eating detection
eating timing error analysis
biomedical signal processing
smart eyeglasses
wearable health monitoring
artificial neural network
joint moment prediction
extreme learning machine
Hill muscle model
online input variables
Review
ECG
Signal Processing
Machine Learning
Cardiovascular Disease
Anomaly Detection
photoplethysmography
motion artifact
independent component analysis
multi-wavelength
continuous arterial blood pressure
systolic blood pressure
diastolic blood pressure
deep convolutional autoencoder
genetic algorithm
electrocardiography
vectorcardiography
myocardial infarction
long short-term memory
spline
multilayer perceptron
pain detection
stress detection
wearable sensor
physiological signals
behavioral signals
non-invasive system
hemodynamics
arterial blood pressure
central venous pressure
pulmonary arterial pressure
intracranial pressure
heart rate measurement
remote HR
remote PPG
remote BCG
blind source separation
drowsiness detection
EEG
frequency-domain features
multicriteria optimization
machine learning
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566462503321
Abbod Maysam  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Biomechanical Spectrum of Human Sport Performance
Biomechanical Spectrum of Human Sport Performance
Autore TAIAR Redha
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (356 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato foot morphology
toes function
biomechanics
barefoot
jumping
running
jump throwing ability
3D motion analysis
acceleration
kidney
torque
exercise
physical fitness
peritoneal dialysis
sports engineering
ground reaction forces
swimming
performance
neuromuscular training
strength
injury prevention
young athletes
basketball shoe
comfort perception
foot loading
plantar pressure
maneuver
two-dimensional video analysis
validity
reliability
quantitative biomechanical parameters
artistic gymnastics
minimalist index
patellofemoral contact force
patellofemoral contact stress
footwear
patellofemoral joint pain syndrome
virtual reality
visual speed perception
treadmill running
self-motion perception
optical flow
locomotion
forefoot
Gait
Heel
TUG
Type 2 diabetes mellitus
metabolic syndrome
whole body vibration exercise
range of motion of the knees
surface electromyographic pattern
neuromuscular activation
sleep quality
whole-body vibration exercise
Pittsburgh Sleep Quality Index
Epworth Sleepiness Scale
Berlin Questionnaire
mechanical vibration
traditional Chinese medicine
balance
flexibility
muscle strength
stabilometry
ballet dancers
ankle injury
chronic ankle instability
functional
movement
evaluation
assessment
screen
type 2 diabetes mellitus
blood flow velocity
skin temperature
vibration
3D force modeling
rowing biomechanics
robot-assisted training
individualized training
virtual reality simulator
training of experts
rowing simulator
tendon based parallel robot
transversal vibration control
physical training intensity
therapeutic exercises
work related neck pain
musculoskeletal pain
flight time
vertical jump
center of mass
landing
anthropometric variables
hamstring-to-quadriceps ratio
H/Q ratio
isometric
lower limb
measurement acquisitions and techniques
strength and conditioning
sports training
strength abilities
anterior cruciate ligament
automation
drop jump
injury risk
deep learning
machine learning
movement screen
OpenPose
signal complexity
texture analysis
multiscale entropy analysis
wavelet transform
photoplethysmography
orthosis
tensile strength test
robotic therapy
posture stability
football
training
slackline balancing
dynamics reconstruction
contact force modeling
optimal control
subject-specific modeling
velocity
technique
overhead
racket
swing
stroke
modeling and simulation in sport science
mechanical analyses of sports
sport medicine
injury in sport
human behavior
quality of life
applied science in musculoskeletal disorders
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557497903321
TAIAR Redha  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent Biosignal Processing in Wearable and Implantable Sensors
Intelligent Biosignal Processing in Wearable and Implantable Sensors
Autore Costin Hariton-Nicolae
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (318 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato electrocardiogram
deep metric learning
k-nearest neighbors classifier
premature ventricular contraction
dimensionality reduction
classifications
Laplacian eigenmaps
locality preserving projections
compressed sensing
convolutional neural network
EEG
epileptic seizure detection
RISC-V
ultra-low-power
sepsis
atrial fibrillation
prediction
heart rate variability
feature extraction
random forest
annotations
myoelectric prosthesis
sEMG
grasp phases analysis
grasp classification
machine learning
electronic nose
liver dysfunction
cirrhosis
semiconductor metal oxide gas sensor
vagus nerve
intraneural
decoding
intrafascicular
recording
carbon nanotube
artificial intelligence
lens-free shadow imaging technique
cell-line analysis
cell signal enhancement
deep learning
ECG signal
reconstruction dictionaries
projection matrices
signal classifications
osteopenia
sarcopenia
XAI
SHAP
IMU
gait analysis
sensors
convolutional neural networks
Parkinson's disease
biomedical monitoring
accelerometer
pressure sensor
disease management
electromyography
correlation
high blood pressure
hypertension
photoplethysmography
electrocardiography
calibration
classification models
COVID-19
ECG trace image
transfer learning
Convolutional Neural Networks (CNN)
feature selection
sympathetic activity (SNA)
skin sympathetic nerve activity (SKNA)
electrodes
electrocardiogram (ECG)
cardiac time interval
dynamic time warping
fiducial point detection
heart failure
seismocardiography
wearable electroencephalography
motor imagery
motor execution
beta rebound
brain-machine interface
EEG classification
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910580203203321
Costin Hariton-Nicolae  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Low-Cost Sensors and Biological Signals
Low-Cost Sensors and Biological Signals
Autore Dierick Frédéric
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (240 p.)
Soggetto topico Technology: general issues
Soggetto non controllato inertial sensor
gait
validity
functional calibration
accuracy
wearable electronic devices
kinematics
head rotation
ecological research
gait analysis
characterization
smart insole
vertical ground reaction forces
force sensitive resistors
piezoelectric sensors
sensor calibration
heart rate
photoplethysmography
PPG
time-domain
wearable device
concurrent validity
outcome assessment
feasibility
rehabilitation
data fusion
MARG
IMU
eye tracker
self-contained
head motion measurement
motor variability
actigraphy
triaxial accelerometers
jumping
human-computer interaction
affective technologies
interaction design
biosensing
actuation
somaesthetics
design toolkits
serious videogames
motion capture
upper limbs
physical rehabilitation
telerehabilitation
inertial sensors
inertial measurement unit (IMU)
state of the art
inertial sensor measurement systems
motion accuracy
Baduanjin
physical education
physiotherapy
e-health
motion sensing
wireless charging
wireless connectivity
low power
trunk
upper extremity
compensation
reaching
Kinect
video motion capture
reliability
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557351603321
Dierick Frédéric  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Photonic Biosensors: Detection, Analysis and Medical Diagnostics
Photonic Biosensors: Detection, Analysis and Medical Diagnostics
Autore Conteduca Donato
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (92 p.)
Soggetto topico Research & information: general
Soggetto non controllato integrated photonics
microfluidics
packaging
photonic biosensors
optical resonators
multiplexed sensing
3D printing
wearable laser Doppler flowmetry
blood perfusion
wavelet analysis
smokers
biosensors
optical cavity-based biosensor
biomarker detection
noninvasive glucose sensing
near-infrared spectroscopy
skin tissue reflection spectroscopy
calibration modeling
science-based calibration (SBC)
blood pressure
photoplethysmography
derivatives of PPG
convolutional neural network
ensemble empirical mode decomposition
bacteria biofilm
optoelectronic device
antimicrobial resistance
biosensing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Photonic Biosensors
Record Nr. UNINA-9910576874803321
Conteduca Donato  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Sensing and Signal Processing in Smart Healthcare
Sensing and Signal Processing in Smart Healthcare
Autore Zhao Wenbing
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (198 p.)
Soggetto topico Language
English language teaching (ELT)
Soggetto non controllato smart homes
Internet of Things (IoT)
Wi-Fi
human monitoring
behavioral analysis
ambient assisted living
intelligent luminaires
wireless sensor network
indoor localisation
indoor monitoring
Graphics Processing Units (GPUs)
CUDA
OpenMP
OpenCL
K-means
brain cancer detection
hyperspectral imaging
unsupervised clustering
impaired sensor
Structural Health Monitoring
Time of Flight
subharmonics
Cascaded-Integrator-Comb (CIC) filter
FPGA
fixed point math
data adaptive demodulator
motion estimation
inertial sensors
simulation
spline function
Kalman filter
eHealth
software engineering
gesture recognition
Dynamic Time Warping
Hidden Markov Model
usability
Cramér-Rao lower bound (CRLB)
human motion
Inertial Measurement Unit (IMU)
Time of Arrival (TOA)
wearable sensors
endothelial dysfunction
photoplethysmography
machine learning
computer-assisted screening
sleep pose recognition
keypoints feature matching
Bayesian inference
near-infrared images
scale invariant feature transform
heartbeat classification
arrhythmia
denoising autoencoder
autoencoder
deep learning
auditory perception
biometrics
computer vision
web control access
web security
human-computer interaction
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557483503321
Zhao Wenbing  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Wearable and Nearable Biosensors and Systems for Healthcare
Wearable and Nearable Biosensors and Systems for Healthcare
Autore Di Rienzo Marco
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (226 p.)
Soggetto topico Humanities
Social interaction
Soggetto non controllato tangent space
Riemannian geometry
particle swarm optimization (PSO)
BCI
EEG
electro-oscillography (EOG)
CSP
FBCSP (filter bank common spatial pattern)
online learning
ballistocardiography
pressure sensor
Emfit
home monitoring
sleep recording
sleep apnea
unsupervised learning
synchronization
acoustic emissions
joint sounds
glove
wearable sensing
knee joint loading
quaternion
smartphone
feature engineering
human activity recognition
sensor fusion
ballistocardiogram
blood pressure
stroke volume
cardiac output
total peripheral resistance
photoplethysmography
photoplethysmogram
heart rate
consumer-wearable devices
in-ear
validation
optical pulse rate monitoring
pulse rate
seismocardiography
ultra-short heart rate variability
stress evaluation
accelerometers
robotic assistant systems for surgery
expertise
pick-and-drop simulator task
grip force profiles
grip force control
body sensor network
wearable sensor
telemedicine
telerehabilitation
seismocardiogram
acceleration
electrocardiogram
cardiac mechanics
pulse transit time
adaptive recursive least squares filter (ARLSF)
Seismocardiography (SCG)
motion artifact
Electrocardiogram (ECG)
ageing
gender
machine learning
support vector machine
voice analysis
pressure sensors
compression therapy
thin-film sensors
wireless sensors
medical pressure monitoring
capacitive sensors
flexible sensors
LC sensor
wound monitoring
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557338203321
Di Rienzo Marco  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui