The Design and Implementation of an Automatic Tonsillitis Monitoring and Detection System
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Publication Details
Author list: Phensadsaeng P., Chamnongthai K.
Publisher: Institute of Electrical and Electronics Engineers
Publication year: 2017
Journal: IEEE Access (2169-3536)
Volume number: 5
Start page: 9139
End page: 9151
Number of pages: 13
ISSN: 2169-3536
eISSN: 2169-3536
Languages: English-Great Britain (EN-GB)
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Abstract
An automatic tonsillitis monitoring and detection system aims for personal use and requires mobility, a compact size, and a light weight with reliable functionality. This paper proposes the design and implementation of automatic tonsillitis monitoring and detection system. In this system, a pipeline concept is utilized for data transmission among processes, and parallel processing is employed for feature extraction by dividing an image into an appropriate number of blocks for processing. The performance of the proposed method was evaluated by experiments using prototype software and hardware systems of our design, and the results show accuracies of 96.4% and 91.8%, respectively, for 159 tonsillitis samples. ฉ 2013 IEEE.
Keywords
Bio-medical imaging, FPGA implementation, tonsillitis detectionVHDL
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