Low-Power Biosensor Design Techniques Based on Information Theoretic Principles

Mixed Signal CMOS technology has become a popular research area for integrated biosensing applications. However, while modern CMOS processes, through the fulfillment of Moore’s Law, realize decreasing minimum sizing, this is accompanied by a lessening power supply. Further, the inherent physical noi...

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Bibliographische Detailangaben
1. Verfasser: McFarlane, Nicole
Format: Buchkapitel
Sprache:eng
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Zusammenfassung:Mixed Signal CMOS technology has become a popular research area for integrated biosensing applications. However, while modern CMOS processes, through the fulfillment of Moore’s Law, realize decreasing minimum sizing, this is accompanied by a lessening power supply. Further, the inherent physical noise still remains the same. This trend leads to poor signal to noise ratios and dynamic range performance being significant challenges to sensitive and accurate low power biosensing.The application of information theory to circuits has been introduced to model various topologies. These topologies include chopper stabilized amplifiers, active pixel sensors, and single photon avalanche diodes [1–6]. By using circuit design methodologies based on information theory it is possible to create mixed signal systems that can operate at lower power, while efficiently transmitting information in the presence of high intrinsic physical and environmental noise. The methodology, and its implications, in thi s chapter were previously presented as part of [7].266
DOI:10.1201/9781351250092-11