We report a new Lobachevsky University database (LUDB) of ECG signals that contains 200 samples of 10-second 12-lead electrocardiograms (ECG) from different subjects. The boundaries of the ECG signal complexes are manually annotated by cardiologists for all samples and independently for each lead . The database is representative of a variety of signal morphologies . In addition, all records have an attributed diagnosis . These features make LUDB a promising tool for validating ECG delineation algorithms across a broad range of ECG signal shapes and patient diagnoses. A case study for the recently proposed wavelet-based algorithm is presented.
We report Lobachevsky University Database (LUDB) of ECG signals that contains 200 recordings of 10-second 12-lead electrocardiograms (ECG) from different subjects. The boundaries and peaks of QRS complexes and P and T waves are manually annotated by cardiologists for all recordings and independently for each lead , and all records received an expert classification by abnormalities. In addition, the database is representative of a variety of signal morphologies . These features make LUDB a promising tool for validating ECG delineation algorithms across a broad range of ECG signal shapes and patient diagnoses. A case study for the recently proposed wavelet-based algorithm is presented.
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a new Lobachevsky University database
Lobachevsky University Database
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samples
recordings
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of the ECG signal complexes
and peaks of QRS complexes and P and T waves
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samples
recordings
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. The
, and all records received an expert classification by abnormalities. In addition, the
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. In addition, all records have an attributed diagnosis