Computer Aided ECG Analysis - State of the Art and Upcoming Challenges
This work addresses the problem of improving ECG analysis for medical diagnosis, but it is incremental as it primarily reviews existing advancements and identifies gaps without presenting new methods or results.
The paper reviews current achievements in computer-aided ECG analysis, covering noise removal, heartbeat detection, and rhythm-based analysis, while identifying gaps in evaluation and clinical approval. It concludes by outlining future challenges and proposing a bullseye test for morphology analysis evaluation.
In this paper we present current achievements in computer aided ECG analysis and their applicability in real world medical diagnosis process. Most of the current work is covering problems of removing noise, detecting heartbeats and rhythm-based analysis. There are some advancements in particular ECG segments detection and beat classifications but with limited evaluations and without clinical approvals. This paper presents state of the art advancements in those areas till present day. Besides this short computer science and signal processing literature review, paper covers future challenges regarding the ECG signal morphology analysis deriving from the medical literature review. Paper is concluded with identified gaps in current advancements and testing, upcoming challenges for future research and a bullseye test is suggested for morphology analysis evaluation.