machine learning - Counting number of label in MIT-BIH arrhythmia Database (MIT-BIH) -

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according paper https://www.researchgate.net/publication/293174514_deep_learning_approach_for_active_classification_of_electrocardiogram_signals number of beats of types n,s,f,v follow enter image description here

for training test mit-bih (ds1), use these records {101, 106, 108, 109, 112, 114, 115, 116, 118, 119, 122, 124, 201, 203, 205, 207, 208, 209, 215, 220, 223, 230}.

however, when check using https://physionet.org/cgi-bin/atm/atm , choose describe record in toolbox, number not matching. record number 208 have 2 s label (while it's total 973 in ds1 according paper). total number of n label not matching (40589 instead of 45777). while f , v labels ok.

here's meaning label: https://physionet.org/physiobank/annotations.shtml need n,s,f,v beats.

can tell me what's problem or went wrong?

found in pdf. way 15 labels combined n v s f , q.


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