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 <li>St Petersburg INCART 12-lead Arrhythmia Database [<strong>incartdb</strong>]</li>
 </ol>
 <h3>NOTE</h3>
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   <ol>
   <li>All signals have been resampled to 128Hz and gain has been removed.</li>
   <li>Baseline wander has been removed using Median Filtering.</li>
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   <li>Signal data and annotation labels have been saved in numpy (.npy) format.</li>
   <li>All Signals are nearly 30 mins long.</li>
   </ol>
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 <h3>CONTENT</h3>
 <p>Data has been organised as follows:</p>
 <p>parent directory <em>db_npy</em> contains 3 sub-directories each of which represent one database</p>
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   <p>mitdb_npy has 48 records</p>
   <p>svdb_npy has 78 records</p>
   <p>incartdb_npy has 75 records</p>
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 <p>Each of these database directory contains a '<strong><em>RECORDS</em></strong>' file that lists the ecg records available in that database.</p>
 <p>Each record has 3 files associated with it:</p>
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   <ol>
   <li><p><em>rec</em>_BEAT.npy: contains 'beat' annotations (R-peaks and its label) for the record.<br>
   <em>each record may have variable number of beats based on heart rate</em><br>
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   <li><p><em>rec</em>_NBEAT.npy: contains 'non-beat' annotations (Other than R-peaks) for the record</p></li>
   <li><p><em>rec</em>_SIG_II.npy: contains the Lead 2 signal data of the record as a single numpy array</p></li>
   </ol>
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 <p>(* see the introduction kernel on how to access data and use annotation labels *)</p>
 <h3>Understanding Annotations:</h3>
 <p>There are two types of annotations: Beat and Non-Beat annotations.<br>
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 <p>According to AAMI recommendation, each beat is classified into one of the 5 types [ N, V, S, F, Q ]. However, you are free to choose any classification strategy.</p>
 <p><img alt="" src="https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F5417013%2F58397c44c2e877ddb61418270eb2f3fd%2FRelation-between-MIT-BIH-heartbeats-and-AAMI-standards.png?generation=1593940064290748&amp;alt=media"></p>
 <h3>IMPORTANT</h3>
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   <ol>
   <li><p>mitdb's record '102' and '104' DO NOT have lead 2 signal available hence files '102_SIG_II.npy' and '104_SIG_II.npy' are not present. However, they have BEAT and NBEAT files present. Its advised not to use those two records</p></li>
   <li><p>mitdb's record '102', '104', '107' and '217' are paced records</p></li>
   <li><p>mitdb's record '207' is the only record with 'Flutter' waves that are not marked by beat-annotations (no R-peaks marked). However, they are marked by non-beat annotations.</p></li>
   </ol>
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 <h3>Acknowledgements</h3>
 <p>**PhysioNet **[<a rel="noreferrer nofollow" aria-label="https://physionet.org/ (opens in a new tab)" target="_blank" href="https://physionet.org/">https://physionet.org/</a>]<br>
 MLA    Goldberger, A., et al. "PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220." (2000).<br>