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- Title
A piecewise geometric analysis method for real-time ambulatory ECG detection.
- Authors
Zhou, H.-Y.; Li, J.; Zuo, D.-C.; Hou, K.-M.; de Vaulx, C.; Vaulx, C de
- Abstract
<bold>Background: </bold>As one of the pervasive healthcare services, Ubiquitous cardiac care (UCC) systems should have at least two significant characteristics: real-time detection capability for cardiac arrhythmia events and a small resource requirement for its computation and storage.<bold>Purpose: </bold>Due to the strict-constrained system support and ambulatory signal quality in the out-of-hospital pervasive healthcare applications, a dedicated real-time AED (Ambulatory Electrocardiograph Detection) algorithm has been implemented.<bold>Methodology: </bold>By adopting the piecewise geometric analysis method, this algorithm can provide a real-time continuous detection capability for QRS complexes, which consists of three main functional modules: the Data preparation; the R-wave vertex discovery; and the QRS complex recognition. Currently, this algorithm has been applied on an on-line UCC application system at the hospital for more than 30 patients.<bold>Result: </bold>The performance evaluation has been made not only on the standard MIT-BIH cardiac arrhythmia database but also on the clinical testing. The experiential results explore this algorithm has in average sensitivity of 99.37% and specificity of 99.72%.<bold>Conclusion: </bold>This AED algorithm has minimal beat detection latency and a less computation consumption, which make it meet the requirements of ubiquitous cardiac care applications.
- Subjects
AMBULATORY electrocardiography; ARRHYTHMIA diagnosis; MEDICAL care; GEOMETRIC analysis; RAYLEIGH waves; COMPUTER algorithms
- Publication
Technology & Health Care, 2015, Vol 23, pS335
- ISSN
0928-7329
- Publication type
journal article
- DOI
10.3233/THC-150970