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Data Analytics and Applications of the Wearable Sensors in Healthcare



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Autore: Syed Abdul Shabbir Visualizza persona
Titolo: Data Analytics and Applications of the Wearable Sensors in Healthcare Visualizza cluster
Pubblicazione: 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
Persona (resp. second.): LuqueLuis Fernandez
Garcia-GomezJuan Miguel
Garcia-ZapirainBegoña
HsuehPei-Yun
Syed AbdulShabbir
Sommario/riassunto: This book provides a collection of comprehensive research articles on data analytics and applications of wearable devices in healthcare. This Special Issue presents 28 research studies from 137 authors representing 37 institutions from 19 countries. To facilitate the understanding of the research articles, we have organized the book to show various aspects covered in this field, such as eHealth, technology-integrated research, prediction models, rehabilitation studies, prototype systems, community health studies, ergonomics design systems, technology acceptance model evaluation studies, telemonitoring systems, warning systems, application of sensors in sports studies, clinical systems, feasibility studies, geographical location based systems, tracking systems, observational studies, risk assessment studies, human activity recognition systems, impact measurement systems, and a systematic review. We would like to take this opportunity to invite high quality research articles for our next Special Issue entitled “Digital Health and Smart Sensors for Better Management of Cancer and Chronic Diseases” as a part of Sensors journal.
Titolo autorizzato: Data Analytics and Applications of the Wearable Sensors in Healthcare  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910557288603321
Lo trovi qui: Univ. Federico II
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