Filip Cuckov, Sean Spencer, P. Górczynski, Lucas Lomba, Garry Ingles, Preston Watson, Michael Kearns, Joseph Harling, Eric Yeh, Shakir Khan, Tayyaba Hasan, J. Celli
{"title":"Towards a Reconfigurable Cyber-Physical Systems Framework for Rapid Development of Scalable Next-Generation Smart Medical Devices","authors":"Filip Cuckov, Sean Spencer, P. Górczynski, Lucas Lomba, Garry Ingles, Preston Watson, Michael Kearns, Joseph Harling, Eric Yeh, Shakir Khan, Tayyaba Hasan, J. Celli","doi":"10.1109/BioSMART54244.2021.9677812","DOIUrl":null,"url":null,"abstract":"This paper presents a cyber-physical framework with software and hardware tools and supporting infrastructure aimed at accelerating the development and field deployment of scalable next-generation smart medical devices. We validate the framework by rapidly developing a reconfigurable embedded system platform and software framework for the realization of a next-generation photo-dynamic therapy smart medical device, thus reducing the time-to-market for clinical testing and commercialization ventures. The re-configurable platform is power-efficient, robust, and composed of using four modular components: a main microcontroller module, a power management module, a user interface management module, and a laser or high-power light emitting diode driver module with a slave microcontroller hosted on an interchangeable daughter board; ensuring its reliability and repairability in resource limited settings. The design allows for future hardware expansion and reconfiguration within its circuitry, making it compact and portable. Results include the manufactured hardware of the embedded system and the implementation of the model-view-controller software stack that enables our next-generation photo-dynamic therapy smart medical device.","PeriodicalId":286026,"journal":{"name":"2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BioSMART54244.2021.9677812","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents a cyber-physical framework with software and hardware tools and supporting infrastructure aimed at accelerating the development and field deployment of scalable next-generation smart medical devices. We validate the framework by rapidly developing a reconfigurable embedded system platform and software framework for the realization of a next-generation photo-dynamic therapy smart medical device, thus reducing the time-to-market for clinical testing and commercialization ventures. The re-configurable platform is power-efficient, robust, and composed of using four modular components: a main microcontroller module, a power management module, a user interface management module, and a laser or high-power light emitting diode driver module with a slave microcontroller hosted on an interchangeable daughter board; ensuring its reliability and repairability in resource limited settings. The design allows for future hardware expansion and reconfiguration within its circuitry, making it compact and portable. Results include the manufactured hardware of the embedded system and the implementation of the model-view-controller software stack that enables our next-generation photo-dynamic therapy smart medical device.