Construe: a software solution for the explanation-based interpretation of time series
Artificial Intelligence
2020-03-18 v1 Computer Vision and Pattern Recognition
Logic in Computer Science
Abstract
This paper presents a software implementation of a general framework for time series interpretation based on abductive reasoning. The software provides a data model and a set of algorithms to make inference to the best explanation of a time series, resulting in a description in multiple abstraction levels of the processes underlying the time series. As a proof of concept, a comprehensive knowledge base for the electrocardiogram (ECG) domain is provided, so it can be used directly as a tool for ECG analysis. This tool has been successfully validated in several noteworthy problems, such as heartbeat classification or atrial fibrillation detection.
Cite
@article{arxiv.2003.07596,
title = {Construe: a software solution for the explanation-based interpretation of time series},
author = {Tomas Teijeiro and Paulo Felix},
journal= {arXiv preprint arXiv:2003.07596},
year = {2020}
}
Comments
Original Software Publication. 10 pages, 4 figures