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 <p>This dataset has been used in exploring heartbeat classification using deep neural network architectures, and observing some of the capabilities of transfer learning on it. The signals correspond to electrocardiogram (ECG) shapes of heartbeats for the normal case and the cases affected by different arrhythmias and myocardial infarction. These signals are preprocessed and segmented, with each segment corresponding to a heartbeat.<br>
 Content</p>
 <p><strong>Arrhythmia Dataset</strong></p>
-<pre class="uc-code-block"><code><span class="hljs-attr">Number of Samples:</span> <span class="hljs-number">109446</span>
+<pre class="uc-code-block"><span class="hljs-attr">Number of Samples:</span> <span class="hljs-number">109446</span>
 <span class="hljs-attr">Number of Categories:</span> <span class="hljs-number">5</span>
 <span class="hljs-attr">Sampling Frequency:</span> <span class="hljs-string">125Hz</span>
 <span class="hljs-attr">Data Source:</span> <span class="hljs-string">Physionet's</span> <span class="hljs-string">MIT-BIH</span> <span class="hljs-string">Arrhythmia</span> <span class="hljs-string">Dataset</span>
 <span class="hljs-attr">Classes:</span> [<span class="hljs-attr">'N':</span> <span class="hljs-number">0</span>, <span class="hljs-attr">'S':</span> <span class="hljs-number">1</span>, <span class="hljs-attr">'V':</span> <span class="hljs-number">2</span>, <span class="hljs-attr">'F':</span> <span class="hljs-number">3</span>, <span class="hljs-attr">'Q':</span> <span class="hljs-number">4</span>]
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 <p><strong>The PTB Diagnostic ECG Database</strong></p>
-<pre class="uc-code-block"><code><span class="hljs-attribute">Number of Samples</span><span class="hljs-punctuation">:</span> <span class="hljs-string">14552</span>
+<pre class="uc-code-block"><span class="hljs-attribute">Number of Samples</span><span class="hljs-punctuation">:</span> <span class="hljs-string">14552</span>
 <span class="hljs-attribute">Number of Categories</span><span class="hljs-punctuation">:</span> <span class="hljs-string">2</span>
 <span class="hljs-attribute">Sampling Frequency</span><span class="hljs-punctuation">:</span> <span class="hljs-string">125Hz</span>
 <span class="hljs-attribute">Data Source</span><span class="hljs-punctuation">:</span> <span class="hljs-string">Physionet's PTB Diagnostic Database</span>
-</code>
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 <p><strong>Data Files</strong></p>
 <p>This dataset is created by saving the each ECG arrhythmia into the image form. Then total images from each classes are divided into train and test data where training samples are a80% of the total data and test samples are 20%. </p>
 <p><strong>Acknowledgements</strong></p>