3 years ago

Atypicality for Heart Rate Variability Using a Pattern-Tree Weighting Method.

Elyas Sabeti, Anders Høst-Madsen

Heart rate variability (HRV) is a vital measure of the autonomic nervous system functionality and a key indicator of cardiovascular condition. This paper proposes a novel method, called pattern tree which is an extension of Willem's context tree to real-valued data, to investigate HRV via an atypicality framework. In a previous paper atypicality was developed as method for mining and discovery in "Big Data," which requires a universal approach. Using the proposed pattern tree as a universal source coder in this framework led to discovery of arrhythmias and unknown patterns in HRV Holter Monitoring.

Publisher URL: http://arxiv.org/abs/1710.07319

DOI: arXiv:1710.07319v1

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