Non-invasive blood glucose monitoring for diabetics by means of breath signal analysis

Sensors and Actuators, B: Chemical

Volumn 173, Issue , 2012, Pages 106-113

  Guo, Dongmin ^a   Zhang, David ^a   Zhang, Lei ^a   Lu, Guangming ^b  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Blood glucose levels; Breath analysis; Diabetes detection; Probabilistic output; Support vector ordinal regression

Indexed keywords

BLOOD GLUCOSE LEVEL; BREATH ANALYSIS; DIABETES DETECTION; ORDINAL REGRESSION; PROBABILISTIC OUTPUT;

ACETONE; GLUCOSE;

BLOOD;

EID: 84867068983     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.snb.2012.06.025     Document Type: Article

References (39)

1. C. Ferrante do Amaral, and B. Wolf Current development in non-invasive glucose monitoring Medical Engineering & Physics 30 2008 541 549
2. A. Tura, A. Maran, and G. Pacini Non-invasive glucose monitoring: assessment of technologies and devices according to quantitative criteria Diabetes Research and Clinical Practice 77 2007 16 40
3. G. Rooth, and S. Ostenson Acetone in alveolar air, and the control of diabetes Lancet 2 1966 1102 1105
4. S. Levey, O. Balchum, V. Medrano, and R. Jung Studies of Metabolic Products in Expired Air. II. Acetone The Journal of Laboratory and Clinical Medicine 63 1964 574 584
5. C. Tassopoulos, D. Barnett, and T. Russell Fraser Breath-acetone and blood-sugar measurements in diabetes The Lancet 293 1969 1282 1286
6. L. Laffel Ketone bodies: a review of physiology, pathophysiology and application of monitoring to diabetes Diabetes/Metabolism Research and Reviews 15 1999 412 426
7. M. Sulway, and J. Malins Acetone in diabetic ketoacidosis The Lancet 296 1970 736 740
8. P. Galassetti, B. Novak, D. Nemet, C. Rose-Gottron, D. Cooper, S. Meinardi, R. Newcomb, F. Zaldivar, and D. Blake Breath ethanol and acetone as indicators of serum glucose levels: an initial report Diabetes Technology & Therapeutics 7 2005 115 123
9. C. Wang, A. Mbi, and M. Shepherd A study on breath acetone in diabetic patients using a cavity ringdown breath analyzer: exploring correlations of breath acetone with blood glucose and glycohemoglobin a1c IEEE Sensors Journal 10 2010 54 63
10. Y. Lin, H. Guo, Y. Chang, M. Kao, H. Wang, and R. Hong Application of the electronic nose for uremia diagnosis Sensors and Actuators B: Chemical 76 2001 177 180
11. R. Blatt, A. Bonarini, E. Calabro, M. Della Torre, M. Matteucci, and U. Pastorino Lung cancer identification by an electronic nose based on an array of MOS sensors International Joint Conference on Neural Networks (IJCNN 2007) 2007 1423 1428
12. A. D'Amico, G. Pennazza, M. Santonico, E. Martinelli, C. Roscioni, G. Galluccio, R. Paolesse, and C. Di Natale An investigation on electronic nose diagnosis of lung cancer Lung Cancer 68 2009 170 176
13. S. Dragonieri, J. Annema, R. Schot, M. van der Schee, A. Spanevello, P. Carratú, O. Resta, K. Rabe, and P. Sterk An electronic nose in the discrimination of patients with non-small cell lung cancer and COPD Lung Cancer 64 2009 166 170
14. C. Shih, Y. Lin, K. Lee, P. Chien, and P. Drake Real time electronic nose based pathogen detection for respiratory intensive care patients Sensors and Actuators B: Chemical 2010 153 157
15. M. Fleischer, E. Simon, E. Rumpel, H. Ulmer, M. Harbeck, M. Wandel, C. Fietzek, U. Weimar, and H. Meixner Detection of volatile compounds correlated to human diseases through breath analysis with chemical sensors Sensors and Actuators B: Chemical 83 2002 245 249
16. S. Dragonieri, R. Schot, B. Mertens, S. Le Cessie, S. Gauw, A. Spanevello, O. Resta, N. Willard, T. Vink, and K. Rabe An electronic nose in the discrimination of patients with asthma and controls The Journal of Allergy and Clinical Immunology 120 2007 856 862
17. W. Ping, T. Yi, X. Haibao, and S. Farong A novel method for diabetes diagnosis based on electronic nose Biosensors and Bioelectronics 12 1997 1031 1036
18. Q. Zhang, P. Wang, J. Li, and X. Gao Diagnosis of diabetes by image detection of breath using gas-sensitive laps Biosensors and Bioelectronics 15 2000 249 256
19. E. Mohamed, R. Linder, G. Perriello, N. Di Daniele, S. Pöppl, and A. De Lorenzo Predicting type 2 diabetes using an electronic nose-based artificial neural network analysis Diabetes, Nutrition & Metabolism 15 2002 215 221
20. D. Guo, D. Zhang, N. Li, L. Zhang, and J. Yang A novel breath analysis system based on electronic olfaction IEEE Transactions on Biomedical Engineering 57 2010 2753 2763
21. F. Rock, N. Barsan, and U. Weimar Electronic nose: current status and future trends Chemical Reviews 108 2008 705 725
22. S. Sehnert, L. Jiang, J. Burdick, and T. Risby Breath biomarkers for detection of human liver diseases: preliminary study Biomarkers 7 2002 174 187
23. S. Davies, P. Spanel, and D. Smith Quantitative analysis of ammonia on the breath of patients in end-stage renal failure Kidney International 52 1997 223 228
24. E. Baraldi, and S. Carraro Exhaled NO and breath condensate Paediatric Respiratory Reviews 7 2006 20 22
25. S. Kharitonov, A. Wells, B. O'connor, P. Cole, D. Hansell, R. Logan-Sinclair, and P. Barnes Elevated levels of exhaled nitric oxide in bronchiectasis American Journal of Respiratory and Critical Care Medicine 151 1995 1889 1893
26. I. Horvath, S. Loukides, T. Wodehouse, S. Kharitonov, P. Cole, and P. Barnes Increased levels of exhaled carbon monoxide in bronchiectasis: a new marker of oxidative stress British Medical Journal 53 1998 867 870
27. W. Maziak, S. Loukides, S. Culpitt, P. Sullivan, S. Kharitonov, and P. Barnes Exhaled nitric oxide in chronic obstructive pulmonary disease American Journal of Respiratory and Critical Care Medicine 157 1998 998 1002
28. F. Brighenti, L. Benini, D. Del Rio, C. Casiraghi, N. Pellegrini, F. Scazzina, D. Jenkins, and I. Vantini Colonic fermentation of indigestible carbohydrates contributes to the second-meal effect American Journal of Clinical Nutrition 83 2006 817 822
29. L. Le Marchand, L. Wilkens, P. Harwood, and R. Cooney Breath hydrogen and methane in populations at different risk for colon cancer International Journal of Cancer 55 2006 887 890
30. A. DAmico, C. Di Natale, R. Paolesse, A. Macagnano, E. Martinelli, G. Pennazza, M. Santonico, M. Bernabei, C. Roscioni, and G. Galluccio Olfactory systems for medical applications Sensors and Actuators B: Chemical 130 2007 458 465
31. A. Shashua, and A. Levin Ranking with large margin principle: two approaches Advances in Neural Information Processing Systems 2003 961 968
32. W. Chu, and S. Keerthi New approaches to support vector ordinal regression Proceedings of the 22nd International Conference on Machine Learning, ACM 2005 145 152
33. A. Smola, and B. Schölkopf A tutorial on support vector regression Statistics and Computing 14 2004 199 222
34. D. Shang New Concept of Practical Diabetes Prevention 2003 (in Chinese)
35. M. Liess Electric-field-induced migration of chemisorbed gas molecules on a sensitive film - a new chemical sensor Thin Solid Films 410 2002 183 187
36. W. Chu Source Code for Support Vector Ordinal Regression 2005 Software available at http://www.gatsby.ucl.ac.uk/chuwei/svor.htm
37. C.-C. Chang, and C.-J. Lin LIBSVM: A Library For Support Vector Machines 2001 Software available at http://www.csie.ntu.edu.tw/cjlin/libsvm
38. K. Koh, S. Kim, and S. Boyd l1 ls: A Matlab Solver For Large-scale l1-regularized Least Squares Problems 2007
39. K. Huang, and S. Aviyente Sparse representation for signal classification Advances in Neural Information Processing Systems 19 2007 609 616