Atypicality for Heart Rate Variability Using a Pattern-Tree Weighting Method
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.
Code (0)
등록된 구현이 없습니다.
Tasks
Heart Rate VariabilitySimilar Papers 제목 키워드 기반
Detecting Persuasive Atypicality by Modeling Contextual Compatibility
We propose a new approach to detect atypicality in persuasive imagery. Unlike atypicality which has been studied in prior work, persuasive atypicality has a particular purpose to convey meaning, and relies on underst…
Common Sense ReasoningClustering Analysis of Long-term Cardiovascular Complications in COVID-19 Patients
This study investigates long-term cardiovascular complications in COVID-19 patients using advanced clustering techniques. The objective was to analyse ECG parameters, demographic data, comorbidities, and hospitalization …
ClusteringHeart Rate VariabilityBenchmarking VLMs' Reasoning About Persuasive Atypical Images
Vision language models (VLMs) have shown strong zero-shot generalization across various tasks, especially when integrated with large language models (LLMs). However, their ability to comprehend rhetorical and persuasive …
BenchmarkingObject RecognitionZero-shot GeneralizationBeyond Confidence: Reliable Models Should Also Consider Atypicality
While most machine learning models can provide confidence in their predictions, confidence is insufficient to understand a prediction's reliability. For instance, the model may have a low confidence prediction if the inp…
Myocardial Architecture and Patient Variability in Clinical Patterns of Atrial Fibrillation
Atrial fibrillation (AF) increases the risk of stroke by a factor of four to five and is the most common abnormal heart rhythm. The progression of AF with age, from short self-terminating episodes to persistence, varies …
Rhythm