マイクロフォンにより録音された呼吸音のニューラルネットワークに基づく高速検出法

DOI

書誌事項

タイトル別名
  • Fast neural network processing for detecting breathing sound recorded by microphone

抄録

Measurements of breathing have been used as one of the tools used in the diagnosis of sleep apnea. Respiratory inductance plethysmography, temperature sensor and thoracic impedance cardiography have mainly been used for measuring breathing information. However these methods require the sensors attached on the body of the subjects. Under a quiet environment, the breathing information can be recorded by using non-contact microphone. The sound recordings include not only breathing but also other sound. In addition, breathing sound should be recorded under low signal-to-noise ratio (SNR). Our group has developed neural network (NN) based method to detect breathing sound in the sound recordings. This method can detect low SNR breathing sound with high accuracy. However, the method needs to use multi neural networks. For this reason, we make effective use of testing process and propose new NN-based method to detect breathing sounds with higher speed. We show that the proposed method can accurately detect low SNR breathing sound with higher speed.

収録刊行物

  • 生体医工学

    生体医工学 53 (Supplement), S239_01-S239_01, 2015

    公益社団法人 日本生体医工学会

詳細情報 詳細情報について

  • CRID
    1390282680244908032
  • NII論文ID
    130005163935
  • DOI
    10.11239/jsmbe.53.s239_01
  • ISSN
    18814379
    1347443X
  • 本文言語コード
    ja
  • データソース種別
    • JaLC
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

問題の指摘

ページトップへ