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An FPGA-Based Rapid Wheezing Detection System
Department of Computer Science and Information Engineering, National Taipei University, No. 151, University Road, Sanshia District, New Taipei 23741, Taiwan
Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, No. 1, Section 4, Roosevelt Road, Taipei 10617, Taiwan
These authors contributed equally to this work.
* Author to whom correspondence should be addressed.
Received: 30 December 2013; in revised form: 24 January 2014 / Accepted: 24 January 2014 / Published: 29 January 2014
Abstract: Wheezing is often treated as a crucial indicator in the diagnosis of obstructive pulmonary diseases. A rapid wheezing detection system may help physicians to monitor patients over the long-term. In this study, a portable wheezing detection system based on a field-programmable gate array (FPGA) is proposed. This system accelerates wheezing detection, and can be used as either a single-process system, or as an integrated part of another biomedical signal detection system. The system segments sound signals into 2-second units. A short-time Fourier transform was used to determine the relationship between the time and frequency components of wheezing sound data. A spectrogram was processed using 2D bilateral filtering, edge detection, multithreshold image segmentation, morphological image processing, and image labeling, to extract wheezing features according to computerized respiratory sound analysis (CORSA) standards. These features were then used to train the support vector machine (SVM) and build the classification models. The trained model was used to analyze sound data to detect wheezing. The system runs on a Xilinx Virtex-6 FPGA ML605 platform. The experimental results revealed that the system offered excellent wheezing recognition performance (0.912). The detection process can be used with a clock frequency of 51.97 MHz, and is able to perform rapid wheezing classification.
Keywords: rapid wheezing detection; field-programmable gate array (FPGA); spectrogram image processing; support vector machine (SVM)
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MDPI and ACS Style
Lin, B.-S.; Yen, T.-S. An FPGA-Based Rapid Wheezing Detection System. Int. J. Environ. Res. Public Health 2014, 11, 1573-1593.
Lin B-S, Yen T-S. An FPGA-Based Rapid Wheezing Detection System. International Journal of Environmental Research and Public Health. 2014; 11(2):1573-1593.
Lin, Bor-Shing; Yen, Tian-Shiue. 2014. "An FPGA-Based Rapid Wheezing Detection System." Int. J. Environ. Res. Public Health 11, no. 2: 1573-1593.