參考文獻 |
[1] W. H. Organization, "Leading causes of death and disability worldwide 2000-2019," 9 December 2020.
[2] 衛生福利部統計處, "108 年," 15 June 2020.
[3] D. L. Williams, A. R. Doig, and A. J. A. C. Korosi, "Electrochemical-enzymatic analysis of blood glucose and lactate," vol. 42, no. 1, pp. 118-121, 1970.
[4] K. H. Hazen, M. A. Arnold, and G. W. J. A. S. Small, "Measurement of glucose in water with first-overtone near-infrared spectra," vol. 52, no. 12, pp. 1597-1605, 1998.
[5] M. A. Arnold and G. W. J. A. C. Small, "Noninvasive glucose sensing," vol. 77, no. 17, pp. 5429-5439, 2005.
[6] H. M. Heise, A. Bittner, and R. J. J. o. N. I. S. Marbach, "Clinical chemistry and near infrared spectroscopy: technology for non-invasive glucose monitoring," vol. 6, no. 1, pp. 349-359, 1998.
[7] A. M. Enejder et al., "Raman spectroscopy for noninvasive glucose measurements," vol. 10, no. 3, p. 031114, 2005.
[8] J. W. Kang et al., "Direct observation of glucose fingerprint using in vivo Raman spectroscopy," vol. 6, no. 4, p. eaay5206, 2020.
[9] R. J. Buford, E. C. Green, and M. J. McClung, "A microwave frequency sensor for non-invasive blood-glucose measurement," in 2008 IEEE Sensors Applications Symposium, 2008, pp. 4-7: IEEE.
[10] C.-F. So, K.-S. Choi, T. K. Wong, and J. W. J. M. D. Chung, "Recent advances in noninvasive glucose monitoring," vol. 5, p. 45, 2012.
[11] Y. Zhang, Y. Zhang, S. A. Siddiqui, and A. J. E. V. Kos, "Non-invasive blood-glucose estimation using smartphone PPG signals and subspace kNN classifier," vol. 86, no. 1/2, pp. 68-74, 2019.
[12] G. Zhang et al., "A noninvasive blood glucose monitoring system based on smartphone PPG signal processing and machine learning," vol. 16, no. 11, pp. 7209-7218, 2020.
[13] S. Habbu, M. Dale, and R. J. S. Ghongade, "Estimation of blood glucose by non-invasive method using photoplethysmography," vol. 44, no. 6, pp. 1-14, 2019.
[14] D. J. J. o. B. Guo and Medicines, "Noninvasive blood glucose measurement based on NIR spectrums and double ANN analysis," vol. 3, no. 06, p. 42, 2015.
[15] M. A. Al-Dhaheri, N.-E. Mekkakia-Maaza, H. Mouhadjer, A. J. I. J. o. E. Lakhdari, and C. Engineering, "Noninvasive blood glucose monitoring system based on near-infrared method," vol. 10, no. 2, 2020.
[16] S. Bagha and L. J. I. j. o. c. a. Shaw, "A real time analysis of PPG signal for measurement of SpO2 and pulse rate," vol. 36, no. 11, pp. 45-50, 2011.
[17] Z. Zhang, Z. Pi, and B. J. I. T. o. b. e. Liu, "TROIKA: A general framework for heart rate monitoring using wrist-type photoplethysmographic signals during intensive physical exercise," vol. 62, no. 2, pp. 522-531, 2014.
[18] D. Jarchi, D. Salvi, L. Tarassenko, and D. A. J. S. Clifton, "Validation of instantaneous respiratory rate using reflectance PPG from different body positions," vol. 18, no. 11, p. 3705, 2018.
[19] N. de Pinho Ferreira, C. Gehin, B. J. I. Massot, and R. i. B. engineering, "A Review of Methods for Non-Invasive Heart Rate Measurement on Wrist," 2020.
[20] Juniperus, "Light and Health."
[21] S. Prahl, "Optical Absorption of Hemoglobin," 1999.
[22] M. Ogawa et al., "Determination of concentrations of glucose and human serum albumin in mixtures in phosphate-buffered solution by near-infrared spectroscopy," vol. 24, no. 6, pp. 323-333, 2012.
[23] R. Hotmartua, P. W. Pangestu, H. Zakaria, and Y. S. Irawan, "Noninvasive blood glucose detection using near infrared sensor," in 2015 International Conference on Electrical Engineering and Informatics (ICEEI), 2015, pp. 687-692: IEEE.
[24] A. education, "Regulation of Blood Glucose."
[25] "心動週期," 25 April 2016.
[26] M. J. C. c. r. Elgendi, "On the analysis of fingertip photoplethysmogram signals," vol. 8, no. 1, pp. 14-25, 2012.
[27] D. Castaneda, A. Esparza, M. Ghamari, C. Soltanpur, H. J. I. j. o. b. Nazeran, and bioelectronics, "A review on wearable photoplethysmography sensors and their potential future applications in health care," vol. 4, no. 4, p. 195, 2018.
[28] P. G. Gandhi and G. H. J. I. j. o. g. m. Rao, "The spectral analysis of photoplethysmography to evaluate an independent cardiovascular risk factor," vol. 7, p. 539, 2014.
[29] R. C. Block et al., "Conventional pulse transit times as markers of blood pressure changes in humans," vol. 10, no. 1, pp. 1-9, 2020.
[30] O. Contal et al., "Pulse transit time as a measure of respiratory effort under noninvasive ventilation," vol. 41, no. 2, pp. 346-353, 2013.
[31] D. McDuff, S. Gontarek, and R. W. J. I. T. o. B. E. Picard, "Remote detection of photoplethysmographic systolic and diastolic peaks using a digital camera," vol. 61, no. 12, pp. 2948-2954, 2014.
[32] D. F. J. J. o. c. e. Swinehart, "The beer-lambert law," vol. 39, no. 7, p. 333, 1962.
[33] E. D. Chan, M. M. Chan, and M. M. J. R. m. Chan, "Pulse oximetry: understanding its basic principles facilitates appreciation of its limitations," vol. 107, no. 6, pp. 789-799, 2013.
[34] P. D. J. A. Mannheimer and Analgesia, "The light–tissue interaction of pulse oximetry," vol. 105, no. 6, pp. S10-S17, 2007.
[35] T. J. B. e. l. Tamura, "Current progress of photoplethysmography and SPO 2 for health monitoring," vol. 9, no. 1, pp. 21-36, 2019.
[36] A. Chaurasia and O. J. S. i. m. Harel, "Partial F‐tests with multiply imputed data in the linear regression framework via coefficient of determination," vol. 34, no. 3, pp. 432-443, 2015.
[37] M. Jamshidian, R. I. Jennrich, W. J. C. s. Liu, and d. analysis, "A study of partial F tests for multiple linear regression models," vol. 51, no. 12, pp. 6269-6284, 2007.
[38] D. J. Olive, "Multiple linear regression," in Linear regression: Springer, 2017, pp. 17-83.
[39] K. Dunn, "Process Improvement Using Data," 22 April 2021.
[40] F. Reiterer et al., "Significance and reliability of MARD for the accuracy of CGM systems," vol. 11, no. 1, pp. 59-67, 2017.
[41] W. L. Clarke, D. Cox, L. A. Gonder-Frederick, W. Carter, and S. L. J. D. c. Pohl, "Evaluating clinical accuracy of systems for self-monitoring of blood glucose," vol. 10, no. 5, pp. 622-628, 1987. |