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Advanced Signal Processing in Wearable Sensors for Health Monitoring

Smart, wearables devices on a miniature scale are becoming increasingly widely available, typically in the form of smart watches and other connected devices. Consequently, devices to assist in measurements such as electroencephalography (EEG), electrocardiogram (ECG), electromyography (EMG), blood p...

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Saved in:
Format: Online
Sprog:engelsk
Udgivet: MDPI - Multidisciplinary Digital Publishing Institute 2022
Fag:
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
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Online adgang:ONIX_20220506_9783036538877_92
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