| ABSTRACT |
Using efficient ECG signal preprocessing algorithm, different types of noises and artifacts were excluded from the ECG signals. Hence, the SCA prediction rate has been improved to maximum of 100% compared to earlier works.The R-Tend wave extraction from ECG signal for SCA prediction. Compared to earlier works, only one feature (Sample Entropy) gives a maximum SCA prediction rate of 100% and reduces the computation time and memory for real-time system development. Low cost, portable, and efficient ECG data acquisition system development.Produces very high sensitivity and accuracy on SCA prediction which can save many lives.
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