Dictionary-based monitoring of premature ventricular contractions: An ultra-low-cost point-of-care service
作者：
Highlights：
• Ultra-low-cost point-of-care service for monitoring premature ventricular contractions using dictionary-based classification and compression algorithms.
• Performance evaluation on MIT/BIH arrhythmia database using Monte Carlo cross validation.
• Workload of physicians is reduced by at least 85.9% for non-critical cases, by localizing PVC beats.
• 118-fold cost reduction compared to first-generation telecardiology.
• Significant performance improvement over known algorithms in telecardiological context.
摘要
•Ultra-low-cost point-of-care service for monitoring premature ventricular contractions using dictionary-based classification and compression algorithms.•Performance evaluation on MIT/BIH arrhythmia database using Monte Carlo cross validation.•Workload of physicians is reduced by at least 85.9% for non-critical cases, by localizing PVC beats.•118-fold cost reduction compared to first-generation telecardiology.•Significant performance improvement over known algorithms in telecardiological context.
论文关键词：Affordable telecardiology,Point-of-care service,Premature ventricular contractions,Dictionary learning,High-sensitivity detection,High-fidelity compression
论文评审过程：Received 8 December 2016, Revised 2 January 2018, Available online 26 April 2018, Version of Record 28 May 2018.
论文官网地址：https://doi.org/10.1016/j.artmed.2018.04.003
