Abstract
Monitoring the blood parameters of the patients outside hospitals or during the absence of medical professionals is a prevalent phenomenon. The conventional procedures involve invasive approach causing pain and complexity to the patients. The pancreas in the human body performs the regulation of blood glucose automatically and constantly. Still, it is quite common to observe patients suffering from improper pancreas function such as little glucose called hypoglycemia or too much glucose called hyperglycemia. In such cases, a blood glucose monitoring and regulation system are required. The purpose of this study is to design an auto-tuned control scheme to regulate blood glucose using a physiology-based pancreas transfer function model. The auto-tuned closed-loop controller is subjected to regulate the glucose level in blood by an appropriate amount of insulin injection. Thus, the designed system could be further enhanced with advanced control algorithms and fabricated as equipment to provide low complexity, low power consumption, and high portability for non-invasive healthcare monitoring.
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References
Chen, S., Mulgrew, B., Grant, P.M.: A clustering technique for digital communications channel equalization using radial basis function networks. IEEE Trans. Neural Netw. 4(4), 570–590 (1993)
Lamonaca, F., Polimeni, G., Barbé, K., Grimaldi, D.: Health parameters monitoring by smartphone for quality-of-life improvement. Measurement 73, 82–94 (2015)
Ovadia-Blechman, Z., Meilin, A., Rabin, N., Eldar, M., Castel, D.: Noninvasive monitoring of peripheral microcirculatory hemodynamics under varying degrees of hypoxia. Respir. Physiol. Neurobiol. 216, 23–27 (2015)
Messori, M., Incremona, G.P., Cobelli, C., Magni, L.: Individualized model predictive control for the artificial pancreas: in silico evaluation of closed-loop glucose control. IEEE Control. Syst. 38(1), 86–104 (2018)
Wang, H.C., Lee, A.R.: Recent developments in blood glucose sensors. J. Food Drug Anal. 23(2), 191–200 (2015)
Choi, H., Naylon, J., Luzio, S., Beutler, J., Birchall, J., Martin, C., Porch, A.: Design and in vitro interference test of microwave noninvasive blood glucose monitoring sensor. IEEE Trans. Microw. Theory Tech. 63(10), 3016–3025 (2015)
Liao, W.C., Tu, Y.K., Wu, M.S., Lin, J.T., Wang, H.P., Chien, K.L.: Blood glucose concentration and risk of pancreatic cancer: systematic review and dose-response meta-analysis. Bmj 349, g7371 (2015)
Roder, P.V., Wu, B., Liu, Y., Han, W.: Pancreatic regulation of glucose homeostasis. Exp. Mol. Med. 48, 1–19 (2016)
Riddell, M.C., Zaharieva, D.P., Yavelberg, L., Cinar, A., Jamnik, V.K.: Exercise and the development of the artificial pancreas: one of the more difficult series of hurdles. J. Diabetes Sci. Technol. 9(6), 1217–1226 (2015)
Schulz, T.C.: Concise review: manufacturing of pancreatic endoderm cells for clinical trials in type 1 diabetes. Stem Cells Transl. Med. 4(8), 927–931 (2015)
Wang, Y., Zhang, J., Zeng, F., Wang, N., Chen, X., Zhang, B., Cobelli, C.: “Learning” can improve the blood glucose control performance for type 1 diabetes mellitus. Diab. Technol. Ther. 19(1), 41–48 (2017)
Blauw, H., Van Bon, A.C., Koops, R., DeVries, J.H., PCDIAB consortium: performance and safety of an integrated bihormonal artificial pancreas for fully automated glucose control at home. Diabetes, Obes. Metab. 18(7), 671–677 (2016)
Lunze, K., Singh, T., Walter, M., Brendel, M.D., Leonhardt, S.: Blood glucose control algorithms for type 1 diabetic patients: a methodological review. Biomed. Signal Process. Control 8(2), 107–119 (2013)
Faiz-Ul-Hassan, M.A., Khaqan, A., Shuja, S., Tiwana, M.I., Qadeer-ul-Hassan, S.M., Riaz, R.A.: Closed loop blood glucose control in diabetics 28(16) (2017)
Djouima, M., Azar, A.T., Drid, S., Mehdi, D.: Higher order sliding mode control for blood glucose regulation of type 1 diabetic patients. Int. J. Syst. Dyn. Appl. (IJSDA) 7(1), 65–84 (2018)
Paiva, H.M., Keller, W.S., da Cunha, L.G.R.: Blood-glucose regulation using fractional-order PID control. J. Control Autom. Electr. Syst. 31(1), 1–9 (2020)
Sukede, A.K., Arora, J.: Auto tuning of PID controller. In: International Conference on Industrial Instrumentation and Control, pp. 1459–1462. IEEE, India (2015)
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Rahul, S.G., Chitra, R., Srinivasa Sudharsan, G., Amruthavalli, A., Sai Sudheer, S. (2022). Regulation of Blood Glucose Using Auto-Tuned PID Controller in Healthcare Systems. In: Mandal, J.K., Roy, J.K. (eds) Proceedings of International Conference on Computational Intelligence and Computing. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-3368-3_25
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DOI: https://doi.org/10.1007/978-981-16-3368-3_25
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