@inproceedings{2d0ebe9b8c57487a957bfad5db2b1c85,
title = "An advanced hardware design based on ensemble empirical mode decomposition algorithm for heart sound signal processing",
abstract = "In this study, an advanced hardware design for heart sound signal processing based on ensemble empirical mode decomposition (EEMD) is developed and implemented. The EEMD method [1] is developed to alleviate a key drawback in the original empirical mode decomposition (EMD) algorithm. In a previous research, Huang et al. [2] developed an adaptive and efficient EMD method for nonlinear and nonstationary signal analysis. The physical meaning of a single intrinsic mode function (IMF) is obscure, and the original EMD algorithm cannot separate signals with different scales into appropriate IMFs. To overcome this major drawback, a noise-assisted data analysis (NADA) method called EEMD is developed. Heart sound signals are fed into the proposed system to simulate the EEMD-fixed-point performance. A comparison of the floating-point and fixed-point results exhibits satisfactory consistency and demonstrates that our design can accommodate wide variations of dynamic ranges and complicated calculations.",
keywords = "Ensemble Empirical Mode Decomposition, Signal processing",
author = "Chou, {Chia Ching} and Lin, {Kuen Chih} and Wai-Chi Fang and Li, {Arvin Huang Te} and Chang, {Yu Ching} and Hwang, {Bai Kuang} and Shau, {Yio Wha}",
year = "2013",
month = sep,
day = "11",
doi = "10.1109/ISCE.2013.6570241",
language = "English",
isbn = "9781467361996",
series = "Proceedings of the International Symposium on Consumer Electronics, ISCE",
pages = "37--38",
booktitle = "2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013",
note = "2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013 ; Conference date: 03-06-2013 Through 06-06-2013",
}