| dc.contributor.advisor | William J. Long. | en_US |
| dc.contributor.author | Nelson, David Lee, M. Eng. Massachusetts Institute of Technology | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. | en_US |
| dc.date.accessioned | 2007-03-12T17:51:58Z | |
| dc.date.available | 2007-03-12T17:51:58Z | |
| dc.date.copyright | 2005 | en_US |
| dc.date.issued | 2005 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/36768 | |
| dc.description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005. | en_US |
| dc.description | Includes bibliographical references (p. 71-72). | en_US |
| dc.description.abstract | In order to provide more effective health care, especially to the elderly, we must enable the physician to monitor the patient outside of the clinic or hospital. A patient's activities are a critical indicator of his or her well-being, and the physician must have an un-intrusive and inexpensive means of monitoring patient activity. The objective of this project was to design and construct a low-cost, low-power, six degree-of-freedom inertial activity monitor that can be used with a portable computer. In this thesis, I describe the design and implementation of a such a monitor that can communicate using several popular peripheral bus protocols. I describe a simple attitude estimation filter and give a qualitative assessment of its performance. | en_US |
| dc.description.statementofresponsibility | by David Lee Nelson. | en_US |
| dc.format.extent | 72 p. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | 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. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | |
| dc.subject | Electrical Engineering and Computer Science. | en_US |
| dc.title | Drift compensated inertial position sensor for healthcare patient monitoring | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | M.Eng. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.identifier.oclc | 78925145 | en_US |
