Document Detail


Point-of-care biosensor system .
MedLine Citation:
PMID:  23277036     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Point-of-care biosensor systems can potentially improve patient care through real-time and remote health monitoring. Over the past few decades, research has been conducted in the field of biosensors to detect patterns of biomarkers and provide information on their concentration in biological samples for robust diagnosis. In future point-of-care applications, requirements such as rapid label-free detection, miniaturized sensor size, and portability will limit the types of biosensors that can be used. This paper reviews label-free detection techniques using Biological MicroElectroMechanical Systems as a potential candidate for point-of-care biosensing applications. Furthermore, detailed surveys have been carried out on wireless networking schemes applicable for a point-of-care environment and on prognostic techniques that will enable decision-support services. This paper concludes by providing a list of challenges that must be resolved before realizing biosensor systems for next-generation point-of-care applications.
Authors:
Arvind Sai Sarathi Vasan; Dinesh Michael Mahadeo; Ravi Doraiswami; Yunhan Huang; Michael Pecht
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Publication Detail:
Type:  Journal Article     Date:  2013-01-01
Journal Detail:
Title:  Frontiers in bioscience (Scholar edition)     Volume:  5     ISSN:  1945-0524     ISO Abbreviation:  Front Biosci (Schol Ed)     Publication Date:  2013  
Date Detail:
Created Date:  2013-01-01     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101485241     Medline TA:  Front Biosci (Schol Ed)     Country:  United States    
Other Details:
Languages:  eng     Pagination:  39-71     Citation Subset:  IM    
Affiliation:
CALCE, 1103 Engineering Lab Building, University of Maryland, College Park, MD-20742.
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