학술논문

An open-source tool to evaluate performance of transient ST segment episode detection algorithms
Document Type
Conference
Source
Computers in Cardiology, 2004 Computers in Cardiology Computers in Cardiology, 2004. :585-588 2004
Subject
Bioengineering
Computing and Processing
Signal Processing and Analysis
Open source software
Detection algorithms
Robustness
Protocols
Measurement standards
Aggregates
Statistics
Graphics
User interfaces
Linux
Language
Abstract
Performance measures and evaluation protocols for evaluating the performance and robustness of transient ST segment episode detection algorithms are specific, complex and not trivial to realize. We developed an open-source tool (EVAL/spl I.bar/ST) to evaluate and compare performance and robustness of ST episode detection algorithms. The tool supports all standard and other relevant performance measures, aggregate gross and average statistics, and bootstrap statistical procedure to predict real-world clinical performance. The tool (written in C) is compilable on a wide variety of platforms and contains an additional graphic user interface module (LessTif/Motif environment) for use on the LINUX/UNIX operating systems.