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3. FEUP - Dissertação

Author(s):	João Pedro Sauvarin Lopes
Title:	Configurable coarse-grained array architecture for processing of biological signals
Issue Date:	2017-07-04
Description:	With the emerging interest in low power biological signal monitoring, the market for small, low power, highly integrated solutions for signal acquisition and processing has grown substantially. This project is inserted in one such solution, a low profile, wearable device capable of acquiring, analysing and transmitting data. Applications range from health and sports monitoring to clinical applications for short term study or long term monitoring. This kind of device is particularly interesting as it allows patients to be free and active while being monitored, improving the value of the results and potentially reducing the cost of health care. This dissertation is focused on studying CGRA (coarse-grained reconfigurable array) architectures for this application domain. By using a small array of interconnected prepossessing elements one can leverage both parallelization and pipelining to efficiently process substantial amount of data. Reaching an appropriate architecture requires the study of the trade-offs between functionality, versatility, throughput and energy consumption for this type of processing. The result from this analysis is an accelerator architecture to be inserted in a larger project named NanoStima.
Subject:	Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering
Scientific areas:	Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering
DOI:	10.34626/mh5s-3403
TID identifier:	201799421
URI:	https://hdl.handle.net/10216/105391
Document Type:	Dissertação
Rights:	openAccess
Appears in Collections:	FEUP - Dissertação

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