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Advancement in Dietary Assessment and Self-Monitoring Using Technology
Advancement in Dietary Assessment and Self-Monitoring Using Technology
Autore Burrows Tracy
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (348 p.)
Soggetto topico Research & information: general
Biology, life sciences
Soggetto non controllato children
dietary assessment
nutrients
carbohydrate counting
protein and fat counting
calorie counting
automatic bolus calculator
voice description of meals
insulin dosage
glycemic control
diabetes mellitus
nutrition
food measurement
nutrient database
energy intake
validity
reliability
food frequency questionnaire
web
under-reporting
over-reporting
mobile applications
adults
nutritional science
qualitative research
mobile food record
24-h recall
developmental disabilities
spina bifida
down syndrome
technology
pediatrics
image-assisted method
infant
food record
doubly labeled water
nutritional application
smartphone
DGA
dietary behaviors
household food purchase behavior
obesity
overweight weight control
mobile technologies
Web-based technologies
usability
human factors
Automated Self-Administered Dietary Assessment Tool (ASA24)
24-h dietary recall
low socioeconomic status
diet
assessment
food log
recall
diet apps
recipe calculations
nutrient retention
dietary intake assessment
technological innovations
Type 2 diabetes mellitus
diabetes management
dietary application
physical activity
blood glucose
mHealth
sugar intakes
dietary record
East Asians
chewing detection
AIM
neural networks
food intake detection
video annotation
sensor validation
diet assessment
relative validity
young adults
apps
mobile app
fruits
vegetables
self-monitoring
healthy diet
shared plate eating
lower middle income countries
food energy estimation
generative models
generative adversarial networks
image-to-energy mapping
regressions
eating activity detection
hand-to-mouth movement
wrist-mounted motion tracking sensor
accelerometer
gyroscope
text messages
type 2 diabetes
diabetes self-care activities
cardiovascular disease risk awareness
food availability
food choices
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557147403321
Burrows Tracy  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data Analytics and Applications of the Wearable Sensors in Healthcare
Data Analytics and Applications of the Wearable Sensors in Healthcare
Autore Syed Abdul Shabbir
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (498 p.)
Soggetto topico Humanities
Social interaction
Soggetto non controllato eHealth
wearable
monitoring
services
integration
IoT
Telemedicine
wearable sensors
multivariate analysis
longitudinal study
functional decline
exercise intervention
accidental falls
fall detection
real-world
signal analysis
performance measures
non-wearable sensors
accelerometers
cameras
machine learning
smart textiles
healthcare
talking detection
activity recognition and monitoring
patient health and state monitoring
wearable sensing
orientation-invariant sensing
motion sensors
accelerometer
gyroscope
magnetometer
pattern classification
artificial intelligence
supervised machine learning
predictive analytics
hemodialysis
non-contact sensor
heart rate
respiration rate
heart rate variability
time-domain features
frequency-domain features
principal component analysis
behaviour analysis
classifier efficiency
personal risk detection
one-class classification
actigraphy
encoding
data compression
denoising
edge computing
signal processing
wearables
activity monitoring
citizen science
cluster analysis
physical activity
sedentary behavior
walking
energy expenditure
wearable device
impedance pneumography
neural network
mechanocardiogram (MCG)
smart clothes
heart failure (HF)
left ventricular ejection fraction (LVEF)
technology acceptance model (TAM)
physical activity classification
free-living
GENEactiv accelerometer
Gaussian mixture model
hidden Markov model
wavelets
skill assessment
deep learning
LSTM
state space model
probabilistic inference
latent features
human activity recognition
MIMU
genetic algorithm
feature selection
classifier optimization
bispectrum
entropy
feature extraction
heat stroke
filtering algorithm
physiological parameters
exercise experiment
biomedical signal processing
wearable biomedical sensors
wireless sensor network
respiratory monitoring
optoelectronic plethysmography
biofeedback
biomedical technology
exercise therapy
orthopedics
mobile health
qualitative
human factors
inertial measurement unit
disease prevention
occupational healthcare
P-Ergonomics
precision ergonomics
musculoskeletal disorders
wellbeing at work
electrocardiogram
conductive gels
noncontact electrode
myocardial ischemia
pacemaker
ventricular premature contraction
upper extremity
motion
action research arm test
activities of daily living
IoT wearable monitor
health
posture analysis
spinal posture
wearable sensor
embedded system
recurrent neural networks
physical workload
wearable systems for healthcare
machine learning for real-time applications
actigraph
body worn sensors
clothing sensors
cross correlation analysis
healthcare movement sensing
wearable devices
calibration
inertial measurement units
human movement
physical activity type
real-life
GPS
GIS
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557288603321
Syed Abdul Shabbir  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Diabetes in Sports and Exercise Medicine
Diabetes in Sports and Exercise Medicine
Autore Jaggers Jason R
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (144 p.)
Soggetto topico Medicine
Soggetto non controllato football
sports
prevalence
diabetes mellitus
physical activity
pediatric
clinical exercise
sport medicine
diabetes
Nordic walking
postmenopausal women
fatty liver disease
bone markers
bone mineral density
exercise
resistance training
menopause
women
type 1 diabetes
Brain Breaks®
video exercise
decisional balance
repeated measures
A1C
athletes
blood glucose
diet
CGM
type 2 diabetes mellitus
diabetic neuropathy
surface electromyography
fatigue
accelerometer
hyperglycemia
interval training
blood pressure
physical exercise
heart rate
cardiorespiratory fitness
yoga
muscle strength
physical fitness
maximal oxygen uptake
VO2 max
type 1 diabetes mellitus (T1DM)
adolescents
exercise testing
ISBN 3-0365-5382-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910619464103321
Jaggers Jason R  
MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Improving Practice and Performance in Basketball
Improving Practice and Performance in Basketball
Autore Scanlan Aaron
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (106 p.)
Soggetto non controllato talent selection
classification tree
Movement Assessment Battery for Children-2
NBA
basketball
maturation
body composition
fatigue
countermovement jump
athletic performance
circadian rhythm
injury
basketball tactics
female
athlete
non-linear analysis
monitoring
basketball performance
performance analysis
training load
variability
game-related statistics
sleep
youth athletes
accelerometer
women athletes
fat free mass
collegiate athletes
workloads
team sports
machine learning
microtechnology
motor manual sequences
elite sport
attention
visuo-spatial working memory
playing position
smallest worthwhile change
body fat
ISBN 3-03921-695-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367745403321
Scanlan Aaron  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent Biosignal Analysis Methods
Intelligent Biosignal Analysis Methods
Autore Jović Alan
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (256 p.)
Soggetto topico Information technology industries
Soggetto non controllato sleep stage scoring
neural network-based refinement
residual attention
T-end annotation
signal quality index
tSQI
optimal shrinkage
emotion
EEG
DEAP
CNN
surgery image
disgust
autonomic nervous system
electrocardiogram
galvanic skin response
olfactory training
psychophysics
smell
wearable sensors
wine sensory analysis
accuracy
convolution neural network (CNN)
classifiers
electrocardiography
k-fold validation
myocardial infarction
sensitivity
sleep staging
electroencephalography (EEG)
brain functional connectivity
frequency band fusion
phase-locked value (PLV)
wearable device
emotional state
mental workload
stress
heart rate
eye blinks rate
skin conductance level
emotion recognition
electroencephalogram (EEG)
photoplethysmography (PPG)
machine learning
feature extraction
feature selection
deep learning
non-stationarity
individual differences
inter-subject variability
covariate shift
cross-participant
inter-participant
drowsiness detection
EEG features
drowsiness classification
fatigue detection
residual network
Mish
spatial transformer networks
non-local attention mechanism
Alzheimer's disease
fall detection
event-centered data segmentation
accelerometer
window duration
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557354803321
Jović Alan  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
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
MEMS Accelerometers
MEMS Accelerometers
Autore Ngo Ha Duong
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (252 p.)
Soggetto non controllato micromachining
turbulent kinetic energy dissipation rate
microelectromechanical systems (MEMS) piezoresistive sensor chip
WiFi-RSSI radio map
step detection
built-in self-test
regularity of activity
motion analysis
gait analysis
frequency
acceleration
MEMS accelerometer
zero-velocity update
rehabilitation assessment
vacuum microelectronic
dance classification
Kerr noise
MEMS
micro machining
MEMS sensors
stereo visual-inertial odometry
self-coaching
miniaturization
wavelet packet
three-axis acceleration sensor
MEMS-IMU accelerometer
performance characterization
electrostatic stiffness
delaying mechanism
three-axis accelerometer
angular-rate sensing
indoor positioning
whispering-gallery-mode
sensitivity
heat convection
multi-axis sensing
L-shaped beam
stride length estimation
activity monitoring
process optimization
mismatch of parasitic capacitance
electromechanical delta-sigma
cathode tips array
in situ self-testing
high acceleration sensor
deep learning
marine environmental monitoring
accelerometer
fault tolerant
hostile environment
micro-electro-mechanical systems (MEMS)
low-temperature co-fired ceramic (LTCC)
classification of horse gaits
Taguchi method
interface ASIC
capacitive transduction
digital resonator
safety and arming system
inertial sensors
MEMS technology
sleep time duration detection
field emission
probe
piezoresistive effect
capacitive accelerometer
auto-encoder
MEMS-IMU
body sensor network
optical microresonator
wireless
hybrid integrated
mode splitting
ISBN 3-03897-415-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346853503321
Ngo Ha Duong  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
MEMS/NEMS Sensors: Fabrication and Application
MEMS/NEMS Sensors: Fabrication and Application
Autore Koley Goutam
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (242 p.)
Soggetto non controllato vibrating ring gyroscope
tunnel magnetoresistive effect
optical sensor
micro-NIR spectrometer
pulse inertia force
gas sensor
wet etching
oil detection
glass welding
spring design
power consumption
MEMS (micro-electro-mechanical system)
back cavity
deflection position detector
magnetic
MEMS
single-layer SiO2
frequency tuning
threshold accuracy
suspended micro hotplate
AlGaN/GaN circular HFETs
quadrature modulation signal
inertial switch
nanoparticle sensor
low noise
photonic crystal nanobeam cavity
floating slug
infrared image
backstepping approach
microdroplet
acceleration switch
microgyroscope
temperature uniformity
methane
microfluidic
accelerometer design
photonic crystal cavity
anisotropy
resonant frequency
dual-mass MEMS gyroscope
analytical model
single crystal silicon
temperature sensor
micro fluidic
refractive index sensor
microwave measurement
low zero-g offset
femtosecond laser
micropellistor
rapid fabrication
accelerometer
tracking performance
GaN diaphragm
microactuator
resistance parameter
optomechanical sensor
scanning grating mirror
GaAs MMIC
adaptive control
frequency split
frequency mismatch
electrostatic force feedback
thermoelectric power sensor
squeeze-film damping
silicon
wideband
Accelerometer readout
bonding strength
high temperature pressure sensors
3D simulation
level-set method
tetramethylammonium hydroxide (TMAH)
ISBN 3-03921-635-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti MEMS/NEMS Sensors
Record Nr. UNINA-9910367742803321
Koley Goutam  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Nondestructive Testing (NDT)
Nondestructive Testing (NDT)
Autore Lacidogna Giuseppe
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (266 p.)
Soggetto topico Technology: general issues
Soggetto non controllato pulsed eddy current
ferromagnetic sample
conductivity
permeability
non-destructive test
impact-echo method
tunnel void
experimental model
numerical simulation
signal analysis
transfer learning
spectrogram analysis
selecting samples
non-destructive testing
hammering sound
regression algorithm
Lamb wave
microcracks testing
multi-channel detection
signal-to-noise ratio
thin-walled tube
damage detection
cepstral analysis
Structural Health Monitoring
Machine Learning
Teager-Kaiser Energy
gammatone filter
acoustic emission
melting ice
aviation
fuel system
acoustoelastic effect
stress estimation
surface waves
weak anisotropy material
damage assessment
smart sensor
magnetoelastic strip
3D printing
additive manufacturing
stress-strain relation
nondestructive testing
optical-radiation
photoacoustic
photothermal
acoustic energy
acoustic counts
CFRP
single lap joint
joggled lap joints
fractography
classical acoustic nonlinearity
constitutive behavior
ultrasonic testing
existing buildings
seismic vulnerability assessment
non-invasive experimental technics
BIM models
non-destructive techniques (NDT)
historical buildings
maintenance
stone columns
ultrasonic test
impact test
concrete
impact-echo
elastic wave
SIBIE
3D visualization
accelerometer
laser doppler vibrometer
remote sensing
reinforced concrete
four-point bending test
structural health monitoring
nondestructive testing techniques
fiber optic sensors
acoustic emission monitoring
digital image correlation
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Nondestructive Testing
Record Nr. UNINA-9910557441403321
Lacidogna Giuseppe  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Physical Activity and Sports Practice in Improving Body Composition and Sustainable Health
Physical Activity and Sports Practice in Improving Body Composition and Sustainable Health
Autore Georgian Badicu
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (168 p.)
Soggetto topico Medicine
Soggetto non controllato mindfulness in physical activity
performance
self-efficacy
self-monitoring
youth
overweight
competitive sport
exercise test
obese
heart rate
incremental test
blood pressure
older adults
exercise
correlation
foot
biomechanics
aerobic training
singing
physical fitness
physical effort of singing
anthropometry
BIVA
body composition
body shape
phase angle
vector length
aging
bioelectrical impedance analysis
elderly
strength training
dose-response
young athletes
lean mass
maturation
performance sensory motor
sports
puberty
team sports
fat mass
muscle mass
elite players
positional differences
sand
talent identification
self-concept
physical activities
lockdown
COVID-19
adolescents
body fat percentage
DEXA
body metrix
functional capacity
older people
functional autonomy assessment
health
accelerometer
sedentary behaviour
moderate-to-vigorous physical activity
age
sex
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557628103321
Georgian Badicu  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui