Advances in Electrocardiogram Information Management

Abstract

One of the interesting challenges in health care field is the intelligent interpretation of signals from human being duly measured by various instruments like ECG, EEG etc. Automated ECG Analysis is expected to provide a good guidance in interpreting anomalies of the human heart. Computerized ECG analysis has been found to be specially useful in primary care facilities where specialists are not available to do that very easily. At the same time, surveys indicate that use of computer based ECG interpretation has not resulted in a very significant augmentation of diagnostic accuracy of physicians yet. Study of those probable incoherence appearing in interpretations are related to various aspects of handling ECG like data acquisition, noise removal, feature extraction, logical processing and pattern recognition. There exists several opportunities to improve the automated solution in each of these areas. This paper presents the work done till now on analysis and subsequent interpretation of fiducial points. There are various types of faulty heart conditions existing, and often they get manifested through ECG. There exist various technological approaches which can enable the automated interpretation of ECG.