Latest Publications

Papers (JCR)

Books and book chapters

Papers (JCR)

  1. Viñals C, Beneyto A, Martín-SanJosé J, Furió-Novejarque C, Bertachi A, Bondia J, Vehi J et al. Artificial pancreas with carbohydrate suggestion performance for unannounced and announced exercise in Type 1 Diabetes; The Journal of Clinical Endocrinology & Metabolism 2021; 106(1):55-63
  2. Bertachi A, Viñals C, Biagi L, Contreras I et al. Prediction of Nocturnal Hypoglycemia in Adults with Type 1 Diabetes under Multiple Daily Injections Using Continuous Glucose Monitoring and Physical Activity Monitor; Sensors 2020; 20(6):1705
  3. A Beneyto, A Bertachi, J Bondia, J Vehi. A New Blood Glucose Control Scheme for Unannounced Exercise in Type 1 Diabetic Subjects; IEEE Trans. On Control Systems Technology 2020; 28(2):593-600
  4. C Viñals, A Beneyto, J Martín‐Sanjosé, C Furió‐Novejarque, A Bertachi, J Bondia, J Vehí, I Conget, M Giménez. Automatic Control Of Blood Glucose Under Announced And Unannounced Exercise Using A New Multivariable Closed Loop Controller With Automatic Carbohydrate Suggestion And Mitigation Module; Diabetes Technology & Therapeutics 2020; 22(S1):A36
  5. Bertachi A, Biagi L, Beneyto A, Vehi J. Dynamic rule-based algorithm to tune insulin on board constraints for a hybrid artificial pancreas system; Journal Of Healthcare Engineering 2020; Article ID:1414597
  6. A Martinez-Marin, IR Cózar, T Pujol, N Luo, L Pacheco, I Ferrer, JR Gonzalez,et al. Comparative analysis of numerical models of plate-fin heat sinks with forced convection for thermoelectric energy generation; Renewable Energy and Power Quality Journal 2020; 18:500-504
  7. CM Ramkissoon, A Bertachi, A Beneyto, J Bondia, J Vehi. Detection and Control of Unannounced Exercise in the Artificial Pancreas without Additional Physiological Signals; IEEE Journal of Biomedical and Health Informatics 2020; 24(1):259-267
  8. J Vehi, JR Isern, A Parcerisas, R Calm, I Contreras. Impact of Use Frequency of a Mobile Diabetes Management App on Blood Glucose Control: Evaluation Study; JMIR mHealth and uHealth 2019; 7(3):e11933
  9. L Biagi, A Bertachi, M Giménez, I Conget, J Bondia, JA Martín-Fernández, J Vehí. Individual categorisation of glucose profiles using compositional data analysis; Statistical methods in medical research 2019; 28(12):3550-3567
  10. Liu C, Vehi J, Avari P, et al. Long-Term Glucose Forecasting Using a Physiological Model and Deconvolution of the Continuous Glucose Monitoring Signal; Sensors (Basel) 2019;19(19):4338
  11. S Oviedo, I Contreras, A Bertachi, C Quirós, M Giménez, I Conget, J Vehi. Minimizing Postprandial Hypoglycemia in Type 1 Diabetes Patients using Multiple Insulin Injections and Capillary Blood Glucose Self-monitoring with Machine Learning Techniques; Computer Methods and Programs in Biomedicine 2019; 178:175-180
  12. S Oviedo, I Contreras, C Quirós, M Giménez, I Conget, J Vehi. Risk-based postprandial hypoglycemia forecasting using supervised learning; International journal of medical informatics 2019; 126:1-8
  13. J Vehí, I Contreras, S Oviedo, L Biagi, A Bertachi. Prediction and prevention of hypoglycaemic events in type-1 diabetic patients using machine learning; Health informatics journal 2019; 26(1):703-718
  14. A Bertachi, C Vinals, L Biagi, I Contreras, M Gimenez, I Conget, J Vehi. Machine learning forecasting nocturnal hypoglycaemia in type 1 diabetes under multiple daily injections using continuous glucose monitoring and physical activity monitor; Diabetologia 2019; 62:S412
  15. A Bertachi, L Biagi, I Contreras, J Vehi. Prediction Of Nocturnal Hypoglycemic Events In Adults With Type 1 Diabetes; Diabetes Technology & Therapeutics 2019; 21(S1):A71
  16. L Biagi, A Bertachi, M Gimenez, I Conget, J Bondia, JA Martin-Fernandez, J Vehi. Categorization And Prediction Of Glucose Profiles Of Type 1 Diabetes Patients Based On A Compositional Data Analysis Approach; Diabetes Technology & Therapeutics 2019; 21(S1):A70
  17. L Pacheco, N Luo, T Pujol, J R González, I Ferrer. Impactful engineering education through sustainable energy collaborations with public and private entities; International Journal of Sustainability in Higher Education 2019; 20(2):393-407
  18. L Biagi, A Bertachi, C Quirós, M Giménez, I Conget, J Bondia, J Vehí. Accuracy of continuous glucose monitoring before, during, and after aerobic and anaerobic exercise in patients with type 1 diabetes mellitus; Biosensors (Basel) 2018; 8(1):22
  19. A Bertachi, CM Ramkissoon, J Bondia, J Vehí. Automated blood glucose control in type 1 diabetes: A review of progress and challenges; Endocrinología, Diabetes y Nutrición (English ed.) 2018; 65(3):172-181
  20. C Quirós, A Bertachi, M Giménez, L Biagi, J Viaplana, C Viñals, J Vehí. Blood glucose monitoring during aerobic and anaerobic physical exercise using a new artificial pancreas system; Endocrinología, Diabetes y Nutrición (English ed.) 2018; 65(6):342-347
  21. CM Ramkissoon, P Herrero, J Bondia, J Vehi. Unannounced Meals in the Artificial Pancreas: Detection Using Continuous Glucose Monitoring; Sensors (Basel) 2018; 18(3):884
  22. A Bertachi, A Beneyto, CM Ramkissoon, J Vehí. Assessment of Mitigation Methods to Reduce the Risk of Hypoglycemia for Announced Exercise in a Uni-hormonal Artificial Pancreas; Diabetes technology & therapeutics 2018; 20(4):285-295
  23. I Contreras, J Vehi. Artificial Intelligence for Diabetes Management and Decision Support: Literature Review; Journal of medical Internet research 2018; 20(5):e10775
  24. A Beneyto, J Vehi. Postprandial fuzzy adaptive strategy for a hybrid proportional derivative controller for the artificial pancreas; Medical & biological engineering & computing 2018; 56(11):1973-1986
  25. N Rosales, H De Battista, J Vehí, F Garelli. Open-loop glucose control: Automatic IOB-based super-bolus feature for commercial insulin pumps; Computer methods and programs in biomedicine 2018; 159:145-158
  26. A Beneyto, A Bertachi, J Bondia, J Vehi. A New Blood Glucose Control Scheme for Unannounced Exercise in Type 1 Diabetic Subjects; IEEE Trans. On Control Systems Technology 2018; 28(2):593-600
  27. L Biagi, A Bertachi, C Quirós, M Giménez, I Conget, J Bondia, J Vehí. Accuracy And Precision Of Continuous Glucose Monitoring Before, During, And After Aerobic And Resistance Exercise In Subjects With Type 1 Diabetes; Diabetes Technology & Therapeutics 2018; 20(S1):A92-A93
  28. J Vehi, A Parcerisas, R Calm, J Regincos. Mobile Diabetes Management App Significantly Reduces Low And High Blood Glucose Risks Regardless Of Its Frequency Of Use; Diabetes Technology & Therapeutics 2018; 20(S1):A81-A82
  29. Contreras I, Hidalgo J I, Nunez-Letamendia L. A hybrid automated trading system based on multi-objective grammatical evolution; Journal of Intelligent & Fuzzy Systems 2017; 32(3):2461-2475
  30. Rossetti P, Quiros C, Moscardo V, Comas A, Gimenez M, Ampudia-Blasco F J, Leon F, Montaser E, Conget I, Bondia J, Vehi J. Closed-Loop Control of Postprandial Glycemia Using an Insulin-on-Board Limitation Through Continuous Action on Glucose Target; Diabetes Technology and Therapeutics 2017; 19(6):355-362
  31. L Biagi, C Ramkissoon, A Facchinetti, Y Leal, J Vehí. Modeling the Error of the Medtronic Paradigm VEO Enlite Glucose Sensor; Sensors (Basel) 2017; 17(6):1361
  32. C M Ramkissoon, B Aufderheide, B W Bequette, J Vehí. A Review of Safety and Hazards Associated With the Artificial Pancreas; IEEE Reviews in Biomedical Engineering 2017; 10:44-62
  33. I Contreras, S Oviedo, M Vettoretti, R Visentin, J Vehí. Personalized blood glucose prediction: A hybrid approach using grammatical evolution and physiological models; PloS one 2017; 12(11):e0187754
  34. L Biagi, A Hirata Bertachi, I Conget, C Quirós, M Giménez, F J Ampudia, P Rossetti, J Bondia, J Vehí. Extensive Assessment of Blood Glucose Monitoring during Postprandial Period and Its Impact on Closed-Loop Performance; Journal of diabetes science and technology 2017; 11(6):1089-1095
  35. S Oviedo, J Vehí, R Calm, J Armengol. A review of personalized blood glucose prediction strategies for T1DM patients; International Journal for Numerical Methods in Biomedical Engineering 2016; 33(6):e2833
  36. C M Ramkissoon, P Herrero, J Bondia, P Georgiou, N Oliver, J Vehí. Automatic detection of exercise in people with type 1 diabetes using an unscented kalman filtre; Diabetes Technology and Therapeutics 2016; 18(S1):A56
  37. Rossetti P, Quiros C, Moscardo V, Comas A, Gimenez M, Ampudia-Blasco F J, Leon F, Montaser E, Conget I, Bondia J, Vehi J. Better Postprandial Glucose Control with a New Closed-Loop System as Compared with Open-Loop Treatment in Patients with Type 1 Diabetes; Diabetes 2016; 65:A258
  38. C Quiros, M Gimenez, P Rossetti, V Moscardo, A Comas, FJ Ampudia, F Leon, E Montaser, I Conget, J Bondia, J Vehi. Better postprandial glucose control with a new closed-loop system as compared with open-loop treatment in patients with type 1 diabetes; Diabetologia 2016; 59:S408
  39. N Caterino, C T Georgakis, N Luo, J L Monsalve. Innovative tecnologies for reducing estructural vibrations due to natural events and human activities; Shock and Vibration 2016; Article ID: 2181509
  40. Y Morales, G Bosque, J Vehí, J Picó, F Llaneras. PFA toolbox: a MATLAB tool for Metabolic Flux Analysis; BMC Systems Biology Volume 2016; 10:46

Books and book chapters

  1. Vehi j. Mujahid O, Contreras, I. Artificial Intelligence Methods in Diabetes. in Artificial Intelligence in Medicine, Springer Nature, in press
  2. Vehí J, Contreras I. Artificial Intelligence for Decision Support Systems in: Diabetes, in Artificial Intelligence in Precision Health: From Concept to Applications 2020; 329-357; Academic Press Ltd-Elsevier; ISBN: 9780128173381 (C)
  3. Armengol J, de la Fuente M J, Puig V. Introduction, in: Fault Diagnosis of Dynamic Systems 2019; 1-16; Springer, Cham; ISBN: 978-3-030-17727-0 (C)
  4. Puig V, de la Fuente M J, Armengol J. FDI approach, in: Fault Diagnosis of Dynamic Systems 2019; 69-95; Springer, Cham; ISBN: 978-3-030-17727-0 (C)
  5. Bondia J, Vehí J. Strategies to mitigate hypoglycaemia in the artificial pancreas, in: The Artificial Pancreas: Current situation and Future Directions 2019; 195-217; Academic Press Ltd-Elsevier; ISBN: 978-0-12-815655-1 (C)