0.3V biopotential sensor interface for stress monitoring
Name
965294053-MIT.pdf
Description
Full printable version
Size
10.85 MB
Format
Adobe PDF
Checksum (MD5)
a8845e389035e291b7f4e0fc1274db65
Author(s)
Orguc, Sirma
Advisor(s)
Anantha P. Chandrakasan.
Alternative Title
Zero point three volt biopotential sensor interface for stress monitoring
Date Issued
2016
Publisher
Massachusetts Institute of Technology
Abstract
Miniaturized sensor nodes have a very tight power budget, especially in the case of implantables and health monitoring devices that require long operation lifetime. Exploiting low-voltage techniques in analog design can enable further power savings, which has not been explored much. However, for conventional analog-front-end (AFE) topologies, voltage scaling could potentially bring several limitations to the important performance metrics such as the linearity, robustness and the power-efficiency. This thesis work describes the design of a 0.3V biopotential sensor interface for stress monitoring applications, which achieves state-of-the-art power-efficiency, and ensures enough circuit reliability with reduced dynamic range requirement. The proposed sensor interface consists of an amplifier and an analog-to-digital converter (ADC). The simulated amplifier achieves 0.95nW power consumption with a power-efficiency-factor (PEF) of 1.57. With this power budget, the amplifier also presents large signal cancellation capability in order to reject the motion artifacts. The system, together with the ADC consumes 4.1nW power, and has an area of 0.2mm2 which makes the sensor interface suitable for wearable and implantable devices. The chip has been submitted for fabrication in a low power 65nm digital CMOS process, and the simulation results are presented.
Description
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 109-112).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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