Title:
Grey-Relational-Algorithm-for-ECG
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Description: The paper proposes a learning algorithm for real-time analyzing the gray relations between templates and test electrocardiogram (ECG) signal patterns. Without analyzing
relations between the test ECG pattern and every template in the database for the
recognition, several training patterns for the learning algorithm are chosen from an ECG waveform database with patient diagnosis information, and then the training result is used to analyze the test ECG.
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Grey Relational Algorithm for ECG.pdf
