{'fraction_non_alphanumeric': 0.01904761904761905, 'fraction_numerical': 0.0, 'mean_word_length': 5.6421052631578945, '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}}
A scalable and shiftable Bayesian defibrillation efficacy estimator

When an automatic defibrillator is implanted, it is essential to accurately estimate a highly effective defibrillation dose from a minimum number of fibrillation episodes. An optimum, fixed step-size, up-down Bayesian protocol has been previously proposed for this purpose. However, the previous protocol can not be adapted to new defibrillation waveforms, electrode configurations, etc. This paper presents a scalable and shiftable version of the previous protocol in the form of lookup tables which can be easily adapted as defibrillation technologies evolve.