QRS detection through time recursive prediction techniques
Signal Processing
A syntactic algorithm for peak detection in waveforms with applications to cardiography
Communications of the ACM
A Case-Based Model that Integrates Specificand General Knowledge in Reasoning
Applied Intelligence
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
Expert Systems with Applications: An International Journal
Identification of QRS complexes in 12-lead electrocardiogram
Expert Systems with Applications: An International Journal
A novel method for the selection of expert systems using case-based reasoning
International Journal of Knowledge Engineering and Soft Data Paradigms
A fuzzy clustering neural network architecture for classification of ECG arrhythmias
Computers in Biology and Medicine
Combining Algorithms in Automatic Detection of QRS Complexes in ECG Signals
IEEE Transactions on Information Technology in Biomedicine
Performance index assessment of intelligent computing methods in EMG-based neuromuscular diseases
International Journal of Knowledge Engineering and Soft Data Paradigms
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Intelligent computing system and knowledge-based system have been widely used in the diagnosis and classification of ECG based diseases. Several detection methods of ECG parameters for a particular disease have also been reported in the literature. But little effort has been made by researchers to combine both. In this work, an integrated model of rule base system for generating cases and ANN methods for matching cases in the case base reasoning model for the interpretation and diagnosis of sinus disturbances (SD) is developed. The SD is hierarchically structured in terms of their physio-psycho parameters and ECG based parameters. Cumulative confidence factor (CCF) is computed at different nodes of hierarchy. The SD considered are sinus arrest, sinus bradycardia, sinus tachycardia and sinus arrhythmia. MIT/BIH ECG database is used in the simulation study. The basic objective of this work is to enhance the computational effort with certain level of efficiency and accuracy.