Apnea Detection Method for Cheyne-Stokes Respiration Analysis on Newborn

Taiga Niimi, Yushi Itoh, Michiya Natori, Yoshimitsu Aoki

研究成果: Article査読

抄録

Cheyne-Stokes respiration is especially prevalent in preterm newborns, but its severity may not be recognized. It is characterized by apnea and cyclical weakening and strengthening of the breathing. We developed a method for detecting apnea and this abnormal respiration and for estimating its malignancy. Apnea was detected based on a "difference" feature (calculated from wavelet coefficients) and a modified maximum displacement feature (related to the respiratory waveform shape). The waveform is calculated from vertical motion of the thoracic and abdominal region during respiration using a vision sensor. Our proposed detection method effectively detects apnea (sensitivity 88.4%, specificity 99.7%).

本文言語English
ページ(範囲)67-82
ページ数16
ジャーナルInternational Journal of Optomechatronics
7
2
DOI
出版ステータスPublished - 2013 4月

ASJC Scopus subject areas

  • 器械工学
  • 機械工学
  • 電子工学および電気工学

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