Adaptive Frequency Tracking for Robust Heart Rate Estimation Using Wrist-Type Photoplethysmographic Signals During Physical Exercise

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This paper presents a comparison of machine learning (ML) methods used for three-dimensional localization of partial discharges (PD) in a power transformer tank. The study examines ML and deep learning (DL) methods, ranging from support vector machines (SV ...

Central aortic diastolic pressure decay time constant ( ) is according to the two-element Windkessel model equal to the product of total peripheral resistance (R) times total arterial compliance (C ). As such, it is related to arterial stiffness, which has ...

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The sensing of left ventricular (LV) activity is fundamental in the diagnosis and monitoring of cardiovascular health in high-risk patients after cardiac surgery to achieve better short- and long-term outcome. Conventional approaches rely on noninvasive me ...

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Primordial features, in particular oscillatory signals, imprinted in the primordial power spectrum of density perturbations represent a clear window of opportunity for detecting new physics at high-energy scales. Future spectroscopic and photometric measur ...

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Sweat secreted by the human eccrine sweat glands can provide valuable biomarker information during exercise. Real-time non-invasive biomarker recordings are therefore useful for evaluating the physiological conditions of an athlete such as their hydration ...

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In this work, we systematically evaluate the accuracy in band gap prediction of range-separated hybrid functionals on a large set of semiconducting and insulating materials and carry out comparisons with the performance of their global counterparts. We obs ...

Adaptive Frequency Tracking for Robust Heart Rate Estimation Using Wrist-Type Photoplethysmographic Signals During Physical Exercise

Chattez avec Graph Search

Partial discharge localization in power transformer tanks using machine learning methods

Novel theory and potential applications of central diastolic pressure decay time constant

TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression

The hindbrain and cortico-reticular pathway in adolescent idiopathic scoliosis

Implementation of an epicardial implantable MEMS sensor for continuous and real-time postoperative assessment of left ventricular activity in adult minipigs over a short- and long-term period

The role of computational methods in cardiovascular medicine: a narrative review

Euclid: The search for primordial features

Spectral Estimators for High-Dimensional Matrix Inference

Amygdala volumes and associations with socio-emotional competencies in preterm youth: cross-sectional and longitudinal data

Influence of fiber orientation on the tensile behavior of UHPFRC and reinforced UHPFRC under static and fatigue loadings

Multisensing wearables for real-time monitoring of sweat electrolyte biomarkers during exercise and analysis on their correlation with core body temperature

Saliency prediction in 360° architectural scenes: Performance and impact of daylight variations

Towards a multiscale point cloud structural similarity metric

Physiological Demands of Exergames in Older Adults- A Systematic Literature Review

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Reduced order modeling of parametrized pulsatile blood flows: Hematocrit percentage and heart rate

Cardiac output estimated from an uncalibrated radial blood pressure waveform: validation in an in-silico-generated population

Plane Waves Versus Correlation-Consistent Basis Sets: A Comparison of MP2 Non-Covalent Interaction Energies in the Complete Basis Set Limit

Interrelation between cardiac and brain small-vessel disease: a pilot quantitative PET and MRI study

Range-separated hybrid functionals for accurate prediction of band gaps of extended systems