Digitally-assisted, ultra-low power circuits and systems for medical applications

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.

Bibliographic Details
Main Author: Bohorquez, Jose L
Other Authors: Joel L. Dawson and Anantha P. Chandrakasan.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2010
Subjects:
Online Access:http://hdl.handle.net/1721.1/58074
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author Bohorquez, Jose L
author2 Joel L. Dawson and Anantha P. Chandrakasan.
author_facet Joel L. Dawson and Anantha P. Chandrakasan.
Bohorquez, Jose L
author_sort Bohorquez, Jose L
collection MIT
description Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.
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spelling mit-1721.1/580742019-04-11T03:41:38Z Digitally-assisted, ultra-low power circuits and systems for medical applications Bohorquez, Jose L Joel L. Dawson and Anantha P. Chandrakasan. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010. Cataloged from PDF version of thesis. Includes bibliographical references (p. 219-225). In recent years, trends in the medical industry have created a growing demand for a variety of implantable medical devices. At the same time, advances in integrated circuits techniques, particularly in CMOS, have opened possibilities for advanced implantable systems that are very small and consume minimal energy. Minimizing the volume of medical implants is important as it allows for less invasive procedures and greater comfort to patients. Minimizing energy consumption is imperative as batteries must last at least a decade without replacement. Two primary functions that consume energy in medical implants are sensor interfaces that collect information from biomedical signals, and radios that allow the implant to communicate with a base-station outside of the body. The general focus of this work was the development of circuits and systems that minimize the size and energy required to carry out these two functions. The first part of this work focuses on laying down the theoretical framework for an ultra-low power radio, including advances to the literature in the area of super-regeneration. The second part includes the design of a transceiver optimized for medical implants, and its implementation in a CMOS process. The final part describes the design of a sensor interface that leverages novel analog and digital techniques to reduce the system's size and improve its functionality. This final part was developed in conjunction with Marcus Yip. by Jose L. Bohorquez. Ph.D. 2010-09-01T16:25:02Z 2010-09-01T16:25:02Z 2010 2010 Thesis http://hdl.handle.net/1721.1/58074 631100628 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 225 p. application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Bohorquez, Jose L
Digitally-assisted, ultra-low power circuits and systems for medical applications
title Digitally-assisted, ultra-low power circuits and systems for medical applications
title_full Digitally-assisted, ultra-low power circuits and systems for medical applications
title_fullStr Digitally-assisted, ultra-low power circuits and systems for medical applications
title_full_unstemmed Digitally-assisted, ultra-low power circuits and systems for medical applications
title_short Digitally-assisted, ultra-low power circuits and systems for medical applications
title_sort digitally assisted ultra low power circuits and systems for medical applications
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/58074
work_keys_str_mv AT bohorquezjosel digitallyassistedultralowpowercircuitsandsystemsformedicalapplications