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ECG for human identification/recognition

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pencilboxradioactive

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Guys,
i am looking for a pattern in ECG which can be be use as human recognition
do you have any idea?

currently, i am doing the R-R peak detection in ECG
but..i am not quite sure whether it can be used as human recognition or not.
after i have find the R-R peak...then, how?
can i use the distance from R-R peak to correlate with the samples that i have?
i am really2 helpless right now

maybe u have some ideas on how to do this pattern
anyone have any ideas?
 

ECG is something which looks the same for all human beings. So it does not have anything unique so that you can use it to distinguish or identify different people , unless someone has any heart disease. You can use ECG to differentiate between a person having a healthy heart and a sick one.
 
Hi Arun, thnx for the reply

i might think so that ECG has no strong feature to be the human identification
but i once read the article saying that the distance between the PQ and QR peak maybe can be a unique factor in identifying human

but im working on it
do you know how we can detect the QRS Peak and calculate the distance between the QR and PQ peak?
 

In detecting QRS peak, the most easiest thing is detecting the R peak , if you use wavelets. Once the R-R peaks are found then Q & S won't be much problem , since Q ,R and S are related among each other with certain proportions. Wavelets is a good tool for this purpose. I have worked on it earlier some time back.

I strongly feel that ECG does'nt have much for human detection because in every human heart beat varies in accordance to situations, mood and other factors, so the distance of peaks varies, which then breaks the property of an independent feature. Maybe u can try some other parameters along with it still , it won't help much.
 
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