{'fraction_non_alphanumeric': 0.02891156462585034, 'fraction_numerical': 0.006802721088435374, 'mean_word_length': 5.333333333333333, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Using stochastic complexity for ECG signal analysis

Applying the MDL based digital signal segmentation method proposed in [1], a new QRS detection algorithm is designed and tested. It is experimentally shown that the algorithm performs better than other 11 algorithms, in terms of False Positive/False Negative estimations. The newly defined Weighted Diagnostic Distortion (WDD) measure[2] is computed for annotated files from MIT-BIH database to evaluate the accuracy of the detection algorithm and, also, to verify how well the P,T-waves are conserved by the broken line approximation.