Cancelation of Baseline Wandering of Electroglottograph Signal using Empirical Mode Decomposition

경험적 모드 재구성 방법을 이용한 성문파형 신호의 기계선 변동 제거

  • Jang, Seung-Jin (Dept. of Biomedical Engineering. College of Health & Science. Yonsei University) ;
  • Kim, Hyo-Min (Dept. of Biomedical Engineering. College of Health & Science. Yonsei University) ;
  • Park, Young-Cheol (Dept. of Computer & Telecommunication Engineering, College of Sciences & Technology, Yonsei University) ;
  • Choi, Hong-Shik (Dept. of Otolaryngology, College of Medicine, Yonsei University) ;
  • Yoon, Young-Ro (Dept. of Biomedical Engineering. College of Health & Science. Yonsei University)
  • 장승진 (연세대학교, 보건과학대학 의공학과) ;
  • 김효민 (연세대학교, 보건과학대학 의공학과) ;
  • 박영철 (연세대학교 과학기술대학 컴퓨터정보통신공학부) ;
  • 최홍식 (연세대학교 의학대학 이비인후과) ;
  • 윤영로 (연세대학교, 보건과학대학 의공학과)
  • Published : 2007.10.26

Abstract

Electroglottography (EGG) is a technique used to register laryngeal behavior indirectly by a measuring the change in electrical impedance across the throat during speaking. However, EGG waveform is affected by laryngeal muscles which fluctuate the vocal cords, and which result in baseline wander. It is required to reduce baseline wander in EGG waveform, because EGG waveform is used for input signal of nonlinear speech synthesizer in next chapter. In vocal cords, the abduction-adduction of glottis is mainly controlled by the posterior cricoarytenoid (abductor) and interarytenoid (adductor) muscles respectively. Empirical Mode Decomposition method was adopted in cancellation of EGG waveform baseline wandering, and showd better performance than that of high pass filter with 500 order.

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