Towards a generalized scheme for QRS detection in ECG waveforms
Signal Processing
Biomedical digital signal processing: C-language examples and laboratory experiments for the IBM PC
Biomedical digital signal processing: C-language examples and laboratory experiments for the IBM PC
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Multisensor Data Fusion
Multi-sensor data fusion and reliable multi-channel computation: unifying concepts and techniques
ASILOMAR '95 Proceedings of the 29th Asilomar Conference on Signals, Systems and Computers (2-Volume Set)
A data fusion approach to tumor delineation
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Fuzzy hierarchical data fusion networks for terrain location identification problems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Robust preprocessing for health care monitoring framework
Healthcom'09 Proceedings of the 11th international conference on e-Health networking, applications and services
Hi-index | 0.00 |
The electrocardiogram (ECG) is a representative signal containing useful information about the condition of the heart. The shape and size of the P-QRS-T wave, the r-r interval, etc., may help to identify the nature of disease afflicting the heart. However, human observer cannot directly monitor these subtle details and it is difficult to evaluate the cardiac health using ECG alone. Hence, the fusion of ECG, blood pressure, saturated oxygen content and respiratory data for achieving improved clinical diagnosis of patients in cardiac care units. In this study, a computer based analysis and display of the heterogeneous signals for the detection of life threatening states is demonstrated using fuzzy logic based data fusion. And to evaluate the severity of the disease a new parameter, deterioration index is proposed and results are tabulated for various cases.