基于Android手机的1型糖尿病患者人工胰腺系统

Abishek Chandrasekhar, Divya Saini, R. Padhi
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引用次数: 1

摘要

提出了一种基于Android智能手机的1型糖尿病患者人工胰腺(AP)系统软件架构。该体系结构结合了一种交互的双应用程序(two-App)方法。每个应用程序都有独特的功能,并通过不同的流程进行快速原型开发。应用程序A(前端应用程序)作为硬件设备的用户界面和通信中心,使用Android Studio开发。连续血糖监测仪(CGM)传感器通过近场通信(NFC)与手机通信。另一方面,胰岛素泵通过一个中间设备进行通信,该设备将手机的蓝牙信号转换为射频(RF)信号,然后泵可以接收到射频信号。应用程序a内置了建立这种通信的兼容性库,应用程序B(后端应用程序)包含使用先进的模型预测控制原理计算胰岛素的算法模块,使用Simulink生成,并使用Android Studio相对容易地快速定制,本文对此进行了详细介绍。这种新颖的双应用程序系统架构的各种功能也从硅实验中得到了广泛的验证和验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Android Phone Based Artificial Pancreas System for Type- 1 Diabetic Patients
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.
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