Miguel Cacho-Soblechero, Š. Karolčík, Dorian Haci, Chiara Cicatiello, Charalampos Maxoutis, P. Georgiou
{"title":"Live Demonstration: A Portable ISFET Platform for PoC Diagnosis Powered by Solar Energy","authors":"Miguel Cacho-Soblechero, Š. Karolčík, Dorian Haci, Chiara Cicatiello, Charalampos Maxoutis, P. Georgiou","doi":"10.1109/BIOCAS.2019.8919227","DOIUrl":null,"url":null,"abstract":"This demonstration presents a portable and low-power ISFET platform, powered by a solar panel battery system. A 32x32 ISFET array is connected to the portable platform using a custom cartridge, which interface with a Raspberry Pi that controls biasing, configuration and data acquisition, while displaying the results on a touchscreen. Inspired by classic videogame consoles, we present a GUI for screening and diagnosis which provides an intuitive experience for non-expert users, ultimately offering an end-to-end system for ISFET-based Point-of-Care diagnosis.","PeriodicalId":222264,"journal":{"name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIOCAS.2019.8919227","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 demonstration presents a portable and low-power ISFET platform, powered by a solar panel battery system. A 32x32 ISFET array is connected to the portable platform using a custom cartridge, which interface with a Raspberry Pi that controls biasing, configuration and data acquisition, while displaying the results on a touchscreen. Inspired by classic videogame consoles, we present a GUI for screening and diagnosis which provides an intuitive experience for non-expert users, ultimately offering an end-to-end system for ISFET-based Point-of-Care diagnosis.