Recursive model identification for the analysis of the autonomic response to exercise testing in Brugada syndrome
作者：
Highlights：
• Conventional methods have been proved insufficient for autonomic function analysis.
• An original model-based approach, based on a recursive identification, is proposed.
• The model was evaluated with exercise data from 44 Brugada syndrome (BS) patients.
• Model-based reasoning provides patient-specific time-varying autonomic estimates.
• Results indicate autonomic trends of clinical relevance in the context of BS.
摘要
•Conventional methods have been proved insufficient for autonomic function analysis.•An original model-based approach, based on a recursive identification, is proposed.•The model was evaluated with exercise data from 44 Brugada syndrome (BS) patients.•Model-based reasoning provides patient-specific time-varying autonomic estimates.•Results indicate autonomic trends of clinical relevance in the context of BS.
论文关键词：Autonomic nervous system,Brugada syndrome,Computational model,Recursive identification
论文评审过程：Received 20 July 2018, Revised 5 October 2018, Accepted 20 November 2018, Available online 28 November 2018, Version of Record 13 June 2019.
论文官网地址：https://doi.org/10.1016/j.artmed.2018.11.006
