Phoumy Indahak

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The effective manual detection ECG arrhythmia is very important, but it is tedious and time consume. Due to the ECG signal, monitoring may have to be carried out over several hours because the volume of the ECG data is enormous. This difficulty turns out a very high possibility of the analyst missing (or misreading) vital information. Therefore,(More)
This paper proposes the method of implementing the ECG biometrics for person identification system by using the Arduino Microprocessor. The Lead-I ECG data had been self-setup and collected, then the achieved ECG features are investigated on the Arduino Uno R3 microprocessor and e-health sensor board. After that, the simulation processes for the(More)
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