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. 2022 Oct 21;10(10):2113. doi: 10.3390/healthcare10102113
Abbreviation(s) Full name(s)
AAMI Association for the Advancement of Medical Instrumentation
ABP Arterial blood pressure
Acc. Accuracy
AE Absolute error
ANN Artificial neural network
ANSI American National Standards Institute
BCG Ballistocardiography
BHS British Hypertension Society
BMI Body mass index
BP Blood pressure
CHD Coronary heart disease
CNN Convolutional neural network
CO Cardiac output
CP Cardiac period
CV Cardiovascular
CVD Cardiovascular disease
CWT Continuous wavelet transform
DBP Diastolic blood pressure
DL Deep learning
DNN Deep neural network
DT Diastolic time
DWT Discrete wavelet transform
ECG Electrocardiography
FCNN Fully connected neural network
FFT Fast Fourier transform
FFT1 An inverse of the fast Fourier transform
GAN Generative adversarial network
GCG Gyrocardiography
GRU Gated recurrent unit
HT Hypertension
IBP Instant blood pressure
ICG Impedance cardiography
IEEE Institute of Electrical and Electronics Engineers
IMAR Iterative metal artifact reduction
IPG Impedance photoplethysmography
iPPG Imaging photoplethysmography
IR Infrared
JADE Joint Approximation Diagonalisation of Eigen-matrices
JHS Jackson Heart Study
LASSO Least absolute shrinkage and selection operator
LMS filter Least mean squares filter
LSTM Long short-term memory
MAE Mean absolute error
MAP Mean arterial pressure
MAPD Minimum absolute percentage difference
ME Mean error
MERS Middle East respiratory syndrome
MI Myocardial infarction
MIC Maximal information coefficient
MIMIC Medical Information Mart for Intensive Care
ML Machine learning
mNPV Modified normalised pulse volume
NT Normotension
OD Oscillometric device
OLE Ordinary least squares
PAT Pulse arrival time
PCA Principal component analysis
PCG Phonocardiogram
PD Phase difference
PEP Pulse ejection period
PHT Prehypertension
PIR Photoplethysmogram intensity ratio
PPG Photoplethysmography
PTT Pulse transit time
PWA Pulse wave analysis
PWV Pulse wave velocity
RMSE Root mean square error
RNN Recurrent neural network
ROI Regions of interest
rPPG Remote photoplethysmography
RZS Random zero sphygmomanometer
SARS Severe acute respiratory syndrome
SBP Systolic blood pressure
SBS Strain-based sensor
SCG Seismocardiography
SpO2 Oxygen saturation
SUT Systolic upstroke time
SV Support vector
SVM Support vector machine
TML Traditional machine learning
TOI Transdermal optical imaging
TPR Total peripheral resistance
UQVS The University of Queensland vital signs