The Transactions of the Korean Institute of Electrical Engineers D (대한전기학회논문지:시스템및제어부문D)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Study for Snoring Detection Based Artificial Neural Network

신경망 기반의 코골이 검출 알고리즘 개발에 관한 연구

  • 장원규 (연세대 보건과학대 의공학과) ;
  • 조성필 (연세대 보건과학대 의공학과) ;
  • 이경중 (연세대 보건과학대 의공학과)
  • Published : 2002.07.01
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Abstract

In this study, we developed a snoring detection algorithm that detects snores automatically. It consists of preprocessing and snoring detection part. The preprocessing part is composed of a noise removal part using spectrum subtraction, and segmentation part, and computation part of temporal and spectral features. And the snoring detection part decides whether detected blocks are snores with BPNN(Back-Propagation Neural Network). BPNN with one hidden layer and one output layer, is trained with data of 7 subjects and tested with data of 11 subjects of total 18 subjects. The proposed algorithm showed a Sensitivity of 90.41% and a Predictive Positive Value of 84.95%.

Keywords

References

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