@inproceedings{b194556529564d6e8925c5c9e7959e5f,
title = "Arrhythmia classification from wavelet feature on FGPA",
abstract = "Arrhythmia is a condition when heart beats are not beating properly, either in rhythm or in intensity. Sometimes arrhythmia problems could make patients in dangerous condition due to their sortie. However, good classification and diagnostic in arrhythmia will help many lives from fatal menace. Many different diagnostics and classifications have been conducted recently by using neural network as their classifier, both in simulation and real hardware implementation. Nevertheless, the products as an arrhythmia classifier are not small enough for daily use. Our previous research [3] succeeded making a simulation for heart beats classifier on neural network. In this research, we tried to implement it on a prototype small arrhythmia classifier on FPGA using Spartan 3AN development board.",
author = "Wisnu Jatmiko and Petrus Mursanto and A. Febrian and M. Fajar and Anggoro, {W. T.} and Rambe, {R. S.} and Tawakal, {M. I.} and Jovan, {Fauzi F.} and {Eka S.}, M.",
year = "2012",
month = jul,
day = "6",
doi = "10.1109/MHS.2011.6102207",
language = "English",
isbn = "9781457713613",
series = "2011 Int. Symp. on Micro-NanoMechatronics and Human Science, Symp. on {"}COE for Education and Research of Micro-Nano Mechatronics{"}, Symposium on {"}Hyper Bio Assembler for 3D Cellular System Innovation{"}",
pages = "349--354",
booktitle = "2011 Int. Symp. on Micro-NanoMechatronics and Human Science, Symp. on {"}COE for Education and Research of Micro-Nano Mechatronics{"}, Symposium on {"}Hyper Bio Assembler for 3D Cellular System Innovation{"}",
note = "22nd Annual Symp. on Micro-Nano Mechatronics and Human Science, MHS 2011, Held Jointly with the Symp. on COE for Education and Research of Micro-Nano Mechatronics, Micro-Nano GCOE 2011, Symp. on Hyper Bio Assembler for 3D Cellular System Innovation ; Conference date: 06-11-2011 Through 09-11-2011",
}