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Development of an earlobe crease identification system to support diagnosis of arteriosclerosis

  • Harutoyo Hirano
  • , Ryosuke Katsumata
  • , Masato Futagawa
  • , Toshio Tsuji
  • , Shinji Kishimoto
  • , Nozomu Oda
  • , Masato Kajikawa
  • , Tatsuya Maruhashi
  • , Yukihito Higashi

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

抄録

It is well known that an earlobe crease (ELC) is related with cardiovascular disease. However evaluation of ELC has been carried out subjectively. We propose a novel system for objective and quantitative evaluation of ELC characteristics. The outline of earlobe was detected using the Canny edge detector. The number of ELCs and the ratio of the ELC length for the lobule from photographs of bilateral earlobes were calculated from the extracted outline of earlobes. Our system's validity for ELCs detection was compared with doctors' diagnosis using sensitivity and specificity analysis. The result showed that the validity of our system was equal to the diagnosis of the medical doctors (kappa coefficient: 0.93). It was thus concluded that the proposed system is useful to predict atherosclerotic disease.

本文言語英語
ホスト出版物のタイトル2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ページ2374-2377
ページ数4
ISBN(電子版)9781457702204
DOI
出版ステータス出版済み - 13-10-2016
外部発表はい
イベント38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, 米国
継続期間: 16-08-201620-08-2016

出版物シリーズ

名前Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
2016-October
ISSN(印刷版)1557-170X

その他

その他38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
国/地域米国
CityOrlando
Period16-08-1620-08-16

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

  1. SDG 3 - すべての人に健康と福祉を
    SDG 3 すべての人に健康と福祉を

All Science Journal Classification (ASJC) codes

  • 信号処理
  • 生体医工学
  • コンピュータ ビジョンおよびパターン認識
  • 健康情報学

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