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Signal Processing Using Non-invasive Physiological Sensors

Non-invasive biomedical sensors for monitoring physiological parameters from the human body for potential future therapies and healthcare solutions. Today, a critical factor in providing a cost-effective healthcare system is improving patients' quality of life and mobility, which can be achieved by...

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Format: Online
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
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
thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBG Medical equipment and techniques
Online Access:ONIX_20220506_9783036537207_275
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