Physiological Measurement

Papers
(The H4-Index of Physiological Measurement is 19. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Interbeat interval-based sleep staging: work in progress toward real-time implementation89
A wireless physiological parameter monitoring system with a treatment feedback function during neonatal phototherapy65
Video based non-contact monitoring of respiratory rate and chest indrawing in children with pneumonia63
MLP-RL-CRD: diagnosis of cardiovascular risk in athletes using a reinforcement learning-based multilayer perceptron56
One-week test–retest stability of heart rate variability during rest and deep breathing53
LumEDA: image luminance based contactless correlates of electrodermal responses51
Accessibility and use of novel methods for predicting physical activity and energy expenditure using accelerometry: a scoping review43
End-to-end sensor fusion and classification of atrial fibrillation using deep neural networks and smartphone mechanocardiography39
Determinants of the dynamic cerebral critical closing pressure response to changes in mean arterial pressure39
Exploring novel algorithms for atrial fibrillation detection by driving graduate level education in medical machine learning37
Automated detection of air trapping from mechanical ventilation waveform through interpretable dual-channel 1D convolutional neural network29
Electrical-tomographic imaging of physiological-induced conductive response in calf muscle compartments during voltage intensity change of electrical muscle stimulation (vic-EMS)28
Spatial–temporal features-based EEG emotion recognition using graph convolution network and long short-term memory28
Pilot study of contactless sleep apnea detection based on snore signals with hardware implementation28
Lung area estimation using functional tidal electrical impedance variation images and active contouring27
Bio-potential noise of dry printed electrodes: physiology versus the skin-electrode impedance27
Predicting seizure episodes and high-risk events in autism through adverse behavioral patterns27
Automatic identifying OSAHS patients and simple snorers based on Gaussian mixture models21
Accuracy and applicability of non-invasive evaluation of aortic wave intensity using only pressure waveforms in humans20
ECG-Image-Kit: a synthetic image generation toolbox to facilitate deep learning-based electrocardiogram digitization19
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