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: 16-08-2016 → 20-08-2016 |
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 |
|---|---|
| 巻 | 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 |
| City | Orlando |
| Period | 16-08-16 → 20-08-16 |
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
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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
フィンガープリント
「Development of an earlobe crease identification system to support diagnosis of arteriosclerosis」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。引用スタイル
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