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What is ECG Detection Algorithms Noise Sensitivity about?

This thesis analyzes the noise sensitivity of different algorithms for detecting QRS complexes in electrocardiogram (ECG) signals. Several QRS detection algorithms are implemented and tested on ECG signals corrupted with various noise types. The algorithms include those based on derivatives, digital filters, neural networks, and wavelet transforms. The performance of each algorithm is evaluated under different noise conditions and the most robust algorithms are identified.

Author

Alamgir Hasan

Language

EN