P. Roy, Amiya Sahoo, Mriganka Chakrabarty, H. Rahaman
{"title":"Microfluidic Cyberphysical Diagnostic System: An ANN Based Application","authors":"P. Roy, Amiya Sahoo, Mriganka Chakrabarty, H. Rahaman","doi":"10.1109/ISDCS49393.2020.9263010","DOIUrl":null,"url":null,"abstract":"The present day advances in Microfluidic and Microfabrication technology resulted in the emergence of a new generation of lab-on-chip (LOC) devices namely digital microfluidic biochips. Such devices find wide application in the area of medical diagnostics, forensics, sequencing of DNA, design of drugs, monitoring of environment and so on. Automated optical detection and analysis plays significant role in interpretation and decision making in medical diagnostics using lab-on-chip based applications. This paper proposes a cyber physical system based on artificial neural networks to perform a sequential multilevel detection for enhanced medical detection and diagnostics for accurate treatment procedure. The Biochip based detection and diagnosis is simulated in an FPGA platform. The simulation results are found to be closely accurate with conventional techniques and highly encouraging.","PeriodicalId":177307,"journal":{"name":"2020 International Symposium on Devices, Circuits and Systems (ISDCS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Symposium on Devices, Circuits and Systems (ISDCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISDCS49393.2020.9263010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The present day advances in Microfluidic and Microfabrication technology resulted in the emergence of a new generation of lab-on-chip (LOC) devices namely digital microfluidic biochips. Such devices find wide application in the area of medical diagnostics, forensics, sequencing of DNA, design of drugs, monitoring of environment and so on. Automated optical detection and analysis plays significant role in interpretation and decision making in medical diagnostics using lab-on-chip based applications. This paper proposes a cyber physical system based on artificial neural networks to perform a sequential multilevel detection for enhanced medical detection and diagnostics for accurate treatment procedure. The Biochip based detection and diagnosis is simulated in an FPGA platform. The simulation results are found to be closely accurate with conventional techniques and highly encouraging.