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Photoplethysmography imaging to assess facial perfusion under simulated hypovolemia
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Predicting the clinical evolution of septic patients from routinely collected data and vital signs variability using machine learning
Predicting the clinical evolution of septic patients from routinely collected data and vital signs variability using machi...
Physics-informed neural networks for physiological signal processing and modeling: a narrative review
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Dynamic response of Bluetooth wearable heart rate monitors during rapid changes in heart rate
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Development, validation and test-retest reliability of a load cell-based device for assessment of isometric forearm rotation torque
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Comparison of feature-based indices derived from photoplethysmogram recorded from different body locations during lower body negative pressure
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Machine learning in diagnosing coronary artery disease via optical pumped magnetometer magnetocardiography: a prospective cohort study
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A novel analytical framework for noninvasive estimation of left ventricular pressure and pressure–volume loops
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Prescreening depression using wearable electrocardiogram and photoplethysmogram data from a psycholinguistic experiment
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Assessment of left ventricular relaxation time constant using arterial pressure waveform
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Convolution spatial-temporal attention network for EEG emotion recognition
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Impact of macrohemodynamic manipulations during cardiopulmonary bypass on finger microcirculation assessed by photoplethysmography signal components
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Swing limb detection using a convolutional neural network and a sequential hypothesis test based on foot pressure data during gait initialization in individuals with Parkinson’s disease
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Hemodynamic effects of bifurcation and stenosis geometry on carotid arteries with different degrees of stenosis
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Developing technologies to assess vascular ageing: a roadmap from VascAgeNet
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pyPCG: a Python toolbox specialized for phonocardiography analysis
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An adaptive learning method for long-term gesture recognition based on surface electromyography
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Correlation analysis of estimated pulse wave velocity and severe abdominal aortic calcification: based on the National Health and Nutrition Examination Survey database
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Estimation of the prevalence of isolated inter-scalene compression from simultaneous arterial and venous photoplethysmography in patients referred for suspected thoracic outlet syndrome
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Extracting actigraphy-based walking features with structured functional principal components
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Unveil sleep spindles with concentration of frequency and time (ConceFT)
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Age prediction from 12-lead electrocardiograms using deep learning: a comparison of four models on a contemporary, freely available dataset
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SiamQuality: a ConvNet-based foundation model for photoplethysmography signals
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Detecting elevated left ventricular end diastolic pressure from simultaneously measured femoral pressure waveform and electrocardiogram
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Progress in electrical impedance tomography and bioimpedance
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An interpretable ensemble trees method with joint analysis of static and dynamic features for myocardial infarction detection
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The role of pulse wave analysis indexes for critically ill patients: a narrative review
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Understanding the physiological transmission mechanisms of photoplethysmography signals: a comprehensive review
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Photoplethysmography based atrial fibrillation detection: a continually growing field
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TSS-ConvNet for electrical impedance tomography image reconstruction
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