A knowledge-based approach to cardiac signal analysis using LabVIEW

Data acquisition and analysis of various cardiac /transducer signals based on virtual instrument technology is gaining importance. This paper introduces a novel way of automating the diagnosis of cardiac disorders using an expert system developed on the basis of information derived from the analysis of Electrocardiogram (ECG) and also provides the online monitoring of cardiac patient. Cardiologists use ECG as a definitive indicator of the condition of the human heart using certain well-defined rules and their own experience to diagnose the condition of patient. The decision process is made systematic by developing a visualization tool using proven algorithm for processing the information contained in the typical ECG. The information can be of great help to a general practitioner, to identify the specific problem and start treatment without any delay. The proposed system provides a fast and effective diagnosis of the problem. This has been possible by encoding the expert knowledge and interfacing it with real time ECG available. The system has fast updating facility to track any rapid deterioration, if it occurs and is thus helpful to monitor patients in ICU.