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タイトル: Support vector machines as multivariate calibration model for prediction of blood glucose concentration using a new non-invasive optical method named pulse glucometry
著者: Ogawa, Mitsuhiro
Yamakoshi, Yasuhiro
Satoh, Makoto
Nogawa, Masamichi link image link image
Yamakoshi, Takehiro
Tanaka, Shinobu link image link image
Rolfe, Peter
Tamura, Toshiyo
Yamakoshi, Ken-ichi
佐藤, 純
野川, 雅道
山越, 健弘
田中, 志信
山越, 憲一
発行日: 2007年
出版社(者): Institute of Electrical and Electronics Engineers (IEEE)
雑誌名: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN: 0589-1019
号: 4353354
開始ページ: 4561
終了ページ: 4563
抄録: A novel optical non-invasive in vivo blood glucose concentration (BGL) measurement technique, named "Pulse Glucometry", was combined with a kernel method; support vector machines. The total transmitted radiation intensity (Iλ) and the cardiac-related pulsatile changes superimposed on Iλ in human adult fingertips were measured over the wavelength range from 900 to 1700 nm using a very fast spectrophotometer, obtaining a differential optical density (ΔOD λ) related to the blood component in the finger tissues. Subsequently, a calibration model using paired data of a family of ΔODλs and the corresponding known BGLs was constructed with support vector machines regression instead of using calibration by a conventional partial least squares regression (PLS). Our results show that the calibration model based on the support vector machines can provide a good regression for the 183 paired data, in which the BGLs ranged from 89.0-219 mg/dl (4.94-12.2 mmol/l). The resultant regression was evaluated by the Clarke error grid analysis and all data points fell within the clinically acceptable regions (region A: 93%, region B: 7%). © 2007 IEEE..
DOI: 10.1109/IEMBS.2007.4353354
URI: http://hdl.handle.net/2297/14390
関連URI: http://dx.doi.org/10.1109/IEMBS.2007.4353354
資料種別: Conference Paper
版表示: publisher

このアイテムを引用あるいはリンクする場合は次の識別子を使用してください。 http://hdl.handle.net/2297/14390



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