Sponsor
Portland State University. Department of Electrical and Computer Engineering
First Advisor
Fu Li
Date of Publication
Spring 6-14-2013
Document Type
Thesis
Degree Name
Master of Science (M.S.) in Electrical and Computer Engineering
Department
Electrical and Computer Engineering
Language
English
Subjects
Wireless communication systems in medical care -- Technological innovations, Medical instruments and apparatus -- Design and construction -- Technological innovations, Medical electronics -- Equipment and supplies -- Technological innovations
DOI
10.15760/etd.1005
Physical Description
1 online resource (vii, 57 pages)
Abstract
Modern implantable and body worn medical devices leverage wireless telemetry to improve patient experience and expand therapeutic options. Wireless medical devices are subject to a unique set of regulations in which monitoring of the available frequency spectrum is a requirement. To this end, implants use software protocols to assess the in-band activity to determine which channel should be used. These software protocols take valuable processing time and possibly degrade the operational lifetime of the battery. Implantable medical devices often take advantage of a single chip transceiver as the physical layer for wireless communications. Embedding the channel assessment task in the transceiver hardware would free the limited resources of the microprocessor. This thesis proposes hardware modifications to existing transceiver architectures which would provide an automated channel assessment means for implantable medical devices. The results are applicable beyond medical device applications and could be employed to benefit any low-power, wireless, battery-operated equipment.
Rights
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
Persistent Identifier
http://archives.pdx.edu/ds/psu/9861
Recommended Citation
Hillig, Mark Alexander, "Automated Channel Assessment for Single Chip MedRadio Transceivers" (2013). Dissertations and Theses. Paper 1005.
https://doi.org/10.15760/etd.1005
Included in
Biomedical Commons, Electronic Devices and Semiconductor Manufacturing Commons, Equipment and Supplies Commons, Signal Processing Commons