An Android Phone Based Artificial Pancreas System for Type- 1 Diabetic Patients

Chandrasekhar, A and Saini, D and Padhi, R (2021) An Android Phone Based Artificial Pancreas System for Type- 1 Diabetic Patients. In: 9th Edition of IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2021, 30 Sep-2 Oct 2021, Bangalore.

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Abstract

An Android smartphone based software architecture for an Artificial Pancreas (AP) system for Type-1 diabetic patients is proposed in this paper. This architecture incorporates an interacting two-application (two-App) approach. Each Application has unique functionalities and is developed through different processes for rapid prototyping. Application A (the front-end App), which acts as the user interface as well as communication hub for the hardware devices, was developed using the Android Studio. The Continuous Glucose Monitor (CGM) sensor communicates to the phone via the Near Field Communication (NFC). The insulin pump, on the other hand, communicates through an intermediate device which converts the Bluetooth signal from the phone to Radio Frequency (RF) signal, which can then be received by the pump. The compatibility libraries to establish this communication is in-built into Application A. Application B (the back-end App) which contains the algorithm modules for computing insulin using the advanced model predictive control philosophy, was generated using Simulink and quickly customized using Android Studio with relative ease, details of which are included in this paper. Various functionalities of this novel two-App system architecture was extensively verified and validated as well from in-Silico experiments. © 2021 IEEE.

Item Type:	Conference Paper
Publication:	IEEE Region 10 Humanitarian Technology Conference, R10-HTC
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Android (operating system); Artificial organs; Insulin; Near field communication; Predictive control systems; Smartphones; Studios; User interfaces, Android application for artificial pancreas; Android applications; Artificial pancreas; Autonomous insulin delivery; Diabetics patients; Insulin delivery; MPC for artificial pancreas; Robotic pancreas, Model predictive control
Department/Centre:	Division of Chemical Sciences > Materials Research Centre
Date Deposited:	13 Feb 2022 08:46
Last Modified:	13 Feb 2022 08:46
URI:	http://eprints.iisc.ac.in/id/eprint/71377

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