糖尿病如長期未加以妥善治療、控制，大多數會發生慢性併發症:眼睛病變、心血管病變、腎臟病變及神經病變等。醫師提醒，糖尿病患的血糖調控與眼睛健康息息相關，可延緩視網膜病變發生。紅外線感測應用近年來已廣泛於醫療用途如血壓及心跳感測而對於血糖偵測因追求精準度市面多以血液測試為主。而本研究之紅外線血氧血糖感測目的為研製一套非侵入性監控血氧血糖變化量感測器與藍芽通訊與資料編碼結合之嵌入式應用；即研製一套可攜式之感測裝置與智慧型手機結合以達到作為隨時監控血氧血糖變化狀況、資料統計及主動危險預警通知之科技輔具。
If Diabetes is chronically not well treated or controlled, most cases will develop long-term complications: eye diseases, cardiovascular diseases, kidney ailments or neurological disorders. Doctors remind us that a diabetes patient's blood sugar control is closely linked with his/her eye health and can defer the occurrence of retinal disease. Infrared detection in recent years has been widely applied to the medical field, such as detecting blood pressure and heartbeat. However, blood testing is still the main method to measuring blood sugar level for the sake of accuracy. Therefore, the goal of this study on detecting blood oxygen and glucose with infrared rays is to develop a set of non-invasive detectors for (a) monitoring/controlling changes in blood oxygen and blood sugar and (b) applying the insertion of the combination of Bluetooth communication and information encoding: i.e., to concoct a set of portable testing apparatus that can be combined with the smartphone to produce an assistive technology device to monitor fluctuations in blood oxygen and blood sugar, analyze data , and automatically warn/notify a danger.
在於訊號處理上,以暗房亮房環境來偵測接收數據,依此挑選出較佳的濾波處理方法,並探討該環境下的訊號變動推測緣由.最後建立本感測系統的推測血氧方程式與血氧與血糖的相關係數.
For processing signals, the environment of lighted room or darkened room are used to detect and receive the digital signals, based on which a better way of dealing with filtered waves is selected, as well as to ferret out the causes of signal changes brought about by environment. Finally, it establishes the formula to infer the blood oxygen and the correlation coefficient between blood oxygen and blood sugar.
據此將有助於病人更有效的了解自己的生理狀況。本研究原理為當血糖過低時而進入危險區值時則發出主動預警通知。透過紅外線對血氧濃度的吸收功率進行訊號處理估算，藉由最佳訊號處理以推算出血糖近似值。若再透過智慧型手機作為嵌入式處理器平台以紀錄數據與統計資料庫則可達到外出可攜性與危險預警之即時性。主動預警之嵌入式系統應用之開發除可方便提供給病人更詳盡的自身血糖變化狀況以避免不自覺低血糖的情況發生外更創新智慧型手機在生物醫學上之加值應用服務。
Given this as their basis, patients can more effectively know their own physiological condition. The underlying principle of this research is to offer automatic advance warning when the blood sugar level is too low and enters a critical area/range. The receptive rate of blood oxygen level can be processed and estimated by infrared rays and the approximate value of blood sugar level can be calculated by processing the best signals. If the information stored in the smartphone can then serve as integrated digital recordkeeping and statistical data, we can attain a portable, handy
system to warn against impending danger. Development of this integrated, automatic warning apparatus, besides conveniently supplying patients with detailed and updated information on changes in their own blood sugar level, avoiding unawareness of hypoglycemic shock, can also innovate the extra value and service of smartphone in the bio-medial field.
