Single Electronics for Biomedical Applications

Single Electronics for Biomedical Applications

Deep Kamal Kaur Randhawa
ISBN13: 9781522531586|ISBN10: 1522531580|EISBN13: 9781522531593
DOI: 10.4018/978-1-5225-3158-6.ch061
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MLA

Randhawa, Deep Kamal Kaur. "Single Electronics for Biomedical Applications." Biomedical Engineering: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2018, pp. 1448-1463. https://doi.org/10.4018/978-1-5225-3158-6.ch061

APA

Randhawa, D. K. (2018). Single Electronics for Biomedical Applications. In I. Management Association (Ed.), Biomedical Engineering: Concepts, Methodologies, Tools, and Applications (pp. 1448-1463). IGI Global. https://doi.org/10.4018/978-1-5225-3158-6.ch061

Chicago

Randhawa, Deep Kamal Kaur. "Single Electronics for Biomedical Applications." In Biomedical Engineering: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1448-1463. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3158-6.ch061

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Abstract

The nanoelectronic circuits based on single electronics would revolutionise the new generation electronic bio-medical gadgets. The high speed nanoelectronic devices would make these gadgets faster and more accurate. The nanoelectronic integrated circuits would be a boon for power saving along with advanced portability. As the scaling down of silicon based integrated circuits is limited in nanometer regime alternative materials like organic molecules, polymers, carbon nanotubes and graphene are focal point of research. These materials exhibit various electrical, electronic and mechanical properties, flexibility being one of very significant ones. Flexible nanelectronic integrated circuits would make biomedical applications very patient friendly. The in-vivo examination and diagnosis would be less injurious to the body. Also the flexible nature will increase the maneuverability of the device by the operator. It will improve the targeted diagnosis and targeted drug delivery procedures. This would further facilitate system-on- chip (soc) that will integrate multiple biomedical signal acquisition (ECG, EEG, EP, and respiration-related signals) with on-chip digital signal processing.

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