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Low Back Pain (LBP)
Low Back Pain (LBP)
Autore Denaro Vincenzo
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (318 p.)
Soggetto topico Technology: general issues
Environmental science, engineering & technology
Soggetto non controllato low back pain (LBP)
standing position
musculoskeletal pain
sedentary behaviour
back pain
Google Trends
infodemiology
seasonality
Wikipedia
back problems
Low Back Pain Scale
maximum voluntary isometric contraction
postural stability
unexpected external postural perturbations
disability
insurance
low back pain
lumbar decompression
lumbar fusion
musculoskeletal disorders
occupational health
pain
return to work
satisfaction
manual therapy
kinesiophobia
fear of pain
Australian method
Neurac
chronic
underserved
African American
Latino
older adults
workload
wearable assistive device
occupational back-support exoskeleton
EMG
handling task
lumbalgia
physical activity
prevention
public health
occupational safety and health
risk assessment
occupational disorder
knowledge
rehabilitation nurses
patient care
unemployment
gender difference
population attributable fraction
cross-sectional studies
orthopaedics
artificial intelligence
computer vision
digital image processing
deep learning
decision support systems
computer aided diagnosis
sub-threshold lumbar instability
non-radiological lumbar instability
lumbar instability
radiography
lumbar translation
lumbar rotation
screening tool
X-ray
sensitivity
specificity
workplace interventions
workers
work ability
systematic review
meta-analysis
cognitive behavioral therapy
mindfulness-based stress reduction
depression
fear-avoidance beliefs
absenteeism
epidemiology
workplace
epidural steroid injections
lumbosacral radicular pain
disk herniation
canal stenosis
review
pelvic incidence
hip–knee line
anthropometry
ROC curve
reliability
MRI
CT
bone metastasis
bone cancer
lung cancer
prostate cancer
machine learning
radiomics
signature
spinal load
core stability
ergonomics
low-back pain
lower extremity
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Low Back Pain
Record Nr. UNINA-9910585944703321
Denaro Vincenzo  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
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 electronic resource (222 p.)
Soggetto topico Medical equipment & techniques
Soggetto non controllato movement intention
brain–computer interface
movement-related cortical potential
neurorehabilitation
phonocardiogram
machine learning
empirical mode decomposition
feature extraction
mel-frequency cepstral coefficients
support vector machines
computer aided diagnosis
congenital heart disease
statistical analysis
convolutional neural network (CNN)
long short-term memory (LSTM)
emotion recognition
EEG
ECG
GSR
deep neural network
physiological signals
electroencephalography
Brain-Computer Interface
multiscale principal component analysis
successive decomposition index
motor imagery
mental imagery
classification
hybrid brain-computer interface (BCI)
home automation
electroencephalogram (EEG)
steady-state visually evoked potential (SSVEP)
eye blink
short-time Fourier transform (STFT)
convolution neural network (CNN)
human machine interface (HMI)
rehabilitation
wheelchair
quadriplegia
Raspberry Pi
image gradient
AMR voice
Open-CV
image processing
acoustic
startle
reaction
response
reflex
blink
mobile
sound
stroke
EMG
brain-computer interface
myoelectric control
pattern recognition
functional near-infrared spectroscopy
z-score method
channel selection
region of interest
channel of interest
respiratory rate (RR)
Electrocardiogram (ECG)
ECG derived respiration (EDR)
auscultation sites
pulse plethysmograph
biomedical signal processing
feature selection and reduction
discrete wavelet transform
hypertension
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