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Seismocardiography Pig Hypovolemia Dataset for Signal Quality Indexing and Validated Cardiac Timings - Scientific Data
Abstract Seismocardiography (SCG), a non-invasive method for capturing cardio-mechanical signals, is often susceptible to noise and motion artifacts. Current approaches primarily use automated algorithms and machine learning techniques for signal quality indexing and fiducial point detection. However, validation is hindered by the scarcity of standardized, high-quality annotated datasets.
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