Physiological Measurement

Papers
(The H4-Index of Physiological Measurement is 22. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
The MSPTDfast photoplethysmography beat detection algorithm: design, benchmarking, and open-source distribution78
Bed sensor ballistocardiogram for non-invasive detection of atrial fibrillation: a comprehensive clinical study46
Development of an electrical impedance tomography set-up for the quantification of mineralization in biopolymer scaffolds45
Identification of 27 abnormalities from multi-lead ECG signals: an ensembled SE_ResNet framework with Sign Loss function44
Rotating radial injection pattern for highly sensitive electrical impedance tomography of human lung anomalies42
Application of Fourier-Bessel expansion and LSTM on multi-lead ECG for cardiac abnormalities identification42
Label noise and self-learning label correction in cardiac abnormalities classification38
Estimation of carotid-femoral pulse wave velocity from finger photoplethysmography signal38
Heart rate characteristic based modelling of atrial fibrillatory rate using implanted cardiac monitor data36
Automated system for diagnosing pulmonary fibrosis using crackle analysis in recorded lung sounds based on iterative envelope mean fractal dimension filter34
Camera-based cardio-respiratory monitoring across the full fitness cycle33
From 12 to 1 ECG lead: multiple cardiac condition detection mixing a hybrid machine learning approach with a one-versus-rest classification strategy33
Inferring forced expiratory volume in 1 second (FEV1) from mobile ECG signals collected during quiet breathing33
Non-invasive pulse arrival time is associated with cardiac index in pediatric heart transplant patients with normal ejection fraction29
A pre-impact fall detection data segmentation method based on multi-channel convolutional neural network and class activation mapping28
Detecting elevated left ventricular end diastolic pressure from simultaneously measured femoral pressure waveform and electrocardiogram27
Estimation of the prevalence of isolated inter-scalene compression from simultaneous arterial and venous photoplethysmography in patients referred for suspected thoracic outlet syndrome27
An unsupervised automated paradigm for artifact removal from electrodermal activity in an uncontrolled clinical setting25
Fraction of reverse impedance change (FRIC): a quantitative electrical impedance tomography measure of intrapulmonary pendelluft25
Predicting stroke volume variation using central venous pressure waveform: a deep learning approach24
Pilot study of contactless sleep apnea detection based on snore signals with hardware implementation23
Exploring novel algorithms for atrial fibrillation detection by driving graduate level education in medical machine learning22
Comment on ‘pulse rate variability in cardiovascular health: a review on its applications and relationship with heart rate variability’22
Robust wave-feature adaptive heartbeat classification based on self-attention mechanism using a transformer model22
Impact of macrohemodynamic manipulations during cardiopulmonary bypass on finger microcirculation assessed by photoplethysmography signal components22
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