Real time QRS complex detection using DFA and regular grammar
2017
Background
The sequence of Q, R, and S peaks (QRS) complex detection is a crucial procedure in electrocardiogram (ECG) processing and analysis. We propose a novel approach for QRS complex detection based on the deterministic finite automata with the addition of some constraints. This paper confirms that regular grammar is useful for extracting QRS complexes and interpreting normalized ECG signals. A QRS is assimilated to a pair of adjacent peaks which meet certain criteria of standard deviation and duration.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
68
References
15
Citations
NaN
KQI