{"title":"基于Android手机的1型糖尿病患者人工胰腺系统","authors":"Abishek Chandrasekhar, Divya Saini, R. Padhi","doi":"10.1109/R10-HTC53172.2021.9641715","DOIUrl":null,"url":null,"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.","PeriodicalId":117626,"journal":{"name":"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Android Phone Based Artificial Pancreas System for Type- 1 Diabetic Patients\",\"authors\":\"Abishek Chandrasekhar, Divya Saini, R. Padhi\",\"doi\":\"10.1109/R10-HTC53172.2021.9641715\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":117626,\"journal\":{\"name\":\"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/R10-HTC53172.2021.9641715\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/R10-HTC53172.2021.9641715","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.