International Journal of
Physical Sciences

  • Abbreviation: Int. J. Phys. Sci.
  • Language: English
  • ISSN: 1992-1950
  • DOI: 10.5897/IJPS
  • Start Year: 2006
  • Published Articles: 2557

Full Length Research Paper

EGG signal classification using statistical analysis

G. Subramanya Nayak1* and C. Puttamadappa2        
1Manipal Institute of Technology, Manipal 576104, Karnataka, India. 2Sri Jagadguru Balagangadharanatha Institute of Technology, Bangalore.  
Email: [email protected], [email protected]

  •  Accepted: 20 December 2010
  •  Published: 09 October 2011


The method is used to register the laryngeal behavior indirectly by measuring change in the electrical impedance across the throat during speech or voice. In this Electroglottography (EGG) signal acquisition, the electrodes are made of steel. They have the form of rectangles covering an area of 10.75 cm2. It is designed as a ring electrode encircling each of the two other electrodes. The electrodes are mounted on a flexible band whose length is adjusted to hold the electrodes in a steady position and to still allow the subject to comfortably speak and breathe naturally. The electrodes are mounted on a small holder which is pressed against the throat by hand. A signal generator supplies an AC sinusoidal current usually ranging from 2 MHz. The RF carrier signal is amplitude modulated by the modulating speech/voice signal and the demodulated signal is extracted. The variations in the signal correspond to the vocal fold abduction/laryngeal movement. For normal and pathology conditions, the results are recorded. These values form a feature vector, which reveals information regarding pathology. Principal component analysis technique (PCA) is used for classification, giving successful results for the specific data set considered.


Key words: Electroglottography, principal component analysis.


RF, Radio frequency; AC, alternating current; PCA, principal component analysis; Gx, waveform of larynx movement; Lx, vibration component.