| 摘要 |
A new non-invasive detection method for glucose and other constituents of interest in a sample has been developed. The apparatus and methods of the invention provide an analog of color perception of human vision, preferably in the near infrared region, replacing the spectrophotometers used in other non-invasive near infrared detection methods. A plurality of detector units are used, each covering a broad region of the detected spectrum, paralleling color perception and colorimetry. In some circumstances, a neural net is used for analysis, allowing the system to learn. A novel method for background discrimination is also described. |
