A linear extrapolation boundary condition replaces periodicity assumptions in Fourier analysis, allowing instantaneous spectra of pulse series like abnormal lung sounds.
Descriptor: Heart and Lung Sounds Dataset Recorded from a Clinical Manikin using Digital Stetho- scope (HLS-CMDS),
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Nonlinear dimensionality reduction on ECG signals enables unsupervised personalized arrhythmia detection with high accuracy on 2D embeddings using standard algorithms on the MIT-BIH database.
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Instantaneous Spectra Analysis of Pulse Series -- Application to Lung Sounds with Abnormalities
A linear extrapolation boundary condition replaces periodicity assumptions in Fourier analysis, allowing instantaneous spectra of pulse series like abnormal lung sounds.
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Manifold Learning for Personalized and Label-Free Detection of Cardiac Arrhythmias
Nonlinear dimensionality reduction on ECG signals enables unsupervised personalized arrhythmia detection with high accuracy on 2D embeddings using standard algorithms on the MIT-BIH database.