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ECG Annotation C++ Library

, 23 Oct 2007 GPL3
The article demonstrating electrocardiogram (ECG) annotation C++ library is based on wavelet-analysis and console application for extraction of vital intervals and waves from ECG data (P, T, QRS, PQ, QT, RR, RRn), ectopic beats and noise detection.
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ecg.exe
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bior97.flt
coif1.flt
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ecg.exe
bior13.flt
bior15.flt
bior22.flt
bior24.flt
bior26.flt
bior28.flt
bior31.flt
bior33.flt
bior35.flt
bior37.flt
bior39.flt
bior46.flt
bior48.flt
bior97.flt
coif1.flt
coif2.flt
coif3.flt
coif4.flt
coif5.flt
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daub10.flt
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howtorun
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bior13.flt
bior15.flt
bior22.flt
bior24.flt
bior26.flt
bior28.flt
bior31.flt
bior33.flt
bior35.flt
bior37.flt
bior39.flt
bior46.flt
bior48.flt
bior97.flt
coif1.flt
coif2.flt
coif3.flt
coif4.flt
coif5.flt
daub1.flt
daub10.flt
daub2.flt
daub3.flt
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daub6.flt
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daub8.flt
daub9.flt
inter1.flt
inter2.flt
inter3.flt
howtorun
Lib
copyright
copyright
poster
cic2006.pptx

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License

This article, along with any associated source code and files, is licensed under The GNU General Public License (GPLv3)

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About the Author

Chesnokov Yuriy
Engineer
Russian Federation Russian Federation
Highly skilled Engineer with 14 years of experience in academia, R&D and commercial product development supporting full software life-cycle from idea to implementation and further support. During my academic career I was able to succeed in MIT Computers in Cardiology 2006 international challenge, as a R&D and SW engineer gain CodeProject MVP, find algorithmic solutions to quickly resolve tough customer problems to pass product requirements in tight deadlines. My key areas of expertise involve Object-Oriented
Analysis and Design OOAD, OOP, machine learning, natural language processing, face recognition, computer vision and image processing, wavelet analysis, digital signal processing in cardiology.

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