@inproceedings{oai:kanazawa-u.repo.nii.ac.jp:00007846,
 author = {Ogawa, Mitsuhiro and Yamakoshi, Yasuhiro and Satoh, Makoto and Nogawa, Masamichi and Yamakoshi, Takehiro and Tanaka, Shinobu and Rolfe, Peter and Tamura, Toshiyo and Yamakoshi, Ken-ichi},
 book = {Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings},
 issue = {4353354},
 month = {Jan},
 note = {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.., 金沢大学理工研究域機械工学系},
 pages = {4561--4563},
 publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
 title = {Support vector machines as multivariate calibration model for prediction of blood glucose concentration using a new non-invasive optical method named pulse glucometry},
 year = {2007}
}