Characterization of bone Tissue by microwaves using wavelets and KNN

• Main Authors: Jannayna Domingues Barros, José Josemar de Oliveira Júnior, Sandro Gonçalves da Silva, Robson Fernandes de Farias
• Format: Article
• Language: English
• Published: Sociedade Brasileira de Microondas e Optoeletrônica; Sociedade Brasileira de Eletromagnetismo
• Series: Journal of Microwaves, Optoelectronics and Electromagnetic Applications
• Subjects: Bone tissue; Microstrip antennas; Statistical pattern recognition; Wavelet transform
• Online Access: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742011000100020&lng=en&tlng=en

In this work, the electrical signals obtained by application of microwaves in chemical and bone tissues are analyzed and classified using techniques of signal processing and pattern recognition. For this, Wavelet Transform is applied as a method to extract relevant features of signal and KNN is used as a classification technique. The results showed that microwave signals can be analyzed using Wavelet Transform, which can be used to reconstruct the signals with minimal error rate and KNN showed satisfactory results.