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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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SiamQuality: a ConvNet-based foundation model for photoplethysmography signals
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Progress in electrical impedance tomography and bioimpedance
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The role of pulse wave analysis indexes for critically ill patients: a narrative 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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Patient-independent, MHD-robust R-peak detection for retrospective gating in cardiac MRI imaging
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LUNet: deep learning for the segmentation of arterioles and venules in high resolution fundus images
LUNet: deep learning for the segmentation of arterioles and venules in high resolution fundus images, Jonathan Fhima, Jan ...
Determination of resistance at zero and infinite frequencies in bioimpedance spectroscopy for assessment of body composition in babies
Determination of resistance at zero and infinite frequencies in bioimpedance spectroscopy for assessment of body compositi...