| Autor: |
Yio-Wha Shau, Wai-Chi Fang, Kuen-Chih Lin, Yu-Ching Chang, Arvin Huang-Te Li, Bai-Kuang Hwang, Chia-Ching Chou |
| Rok vydání: |
2013 |
| Předmět: |
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| Zdroj: |
ISCE |
| DOI: |
10.1109/isce.2013.6570241 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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