SURF: Subject-Adaptive Unsupervised ECG Signal Compression for Wearable Fitness Monitors
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DOI: 10.1109/access.2017.2749758
Abstract: Recent advances in wearable devices allow non-invasive and inexpensive collection of biomedical signals including electrocardiogram (ECG), blood pressure, respiration, among others. Collection and processing of various biomarkers are expected to facilitate preventive healthcare through personalized… read more here.
Keywords: wearable fitness; compression; adaptive unsupervised; fitness monitors ... See more keywords
An Adaptive Unsupervised Learning Framework for Monocular Depth Estimation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2946323
Abstract: Depth estimation from a single image plays an important role in 3D scene perception. Owing to the development of deep convolutional neural networks (CNNs), monocular depth estimation models have achieved a large number of exciting… read more here.
Keywords: depth; model; monocular depth; adaptive unsupervised ... See more keywords