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http://hdl.handle.net/11375/14429
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DC Field | Value | Language |
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dc.contributor.author | Escandor, Sandra | en_US |
dc.date.accessioned | 2014-06-18T18:13:16Z | - |
dc.date.available | 2014-06-18T18:13:16Z | - |
dc.date.created | 2011-02-18 | en_US |
dc.date.issued | 2009-03-15 | en_US |
dc.identifier.other | ee4bi6/29 | en_US |
dc.identifier.other | 1028 | en_US |
dc.identifier.other | 1796447 | en_US |
dc.identifier.uri | http://hdl.handle.net/11375/14429 | - |
dc.description.abstract | <p>Patients who are recovering from illness and surgeries require a large amount of resources dedicated to them in order to monitor their well-being. At the same time, hospitals have a limited amount of resources. A proposed system, called Mobile On-Call, is a low-cost and low-power device that can be used for monitoring patients‟ well-being, which can, for example, reduce the number of hospital beds being used by patients during their recovery. The goal of this project is to create a cell phone based program to monitor a user‟s health, based on electrocardiogram data, blood pressure, and body temperature. The three vital sign signals are sent over a Bluetooth transmission interface device onto a cell phone. Data analysis is done in the cell phone on the three vital signs, such that a normal pattern for the patient is determined. If samples of the three vital signs show outlier data, a message to a physician or healthcare practitioner can be sent if deemed necessary.</p> | en_US |
dc.subject | wireless | en_US |
dc.subject | Bluetooth | en_US |
dc.subject | multivariate normal analysis | en_US |
dc.subject | biomedical monitoring | en_US |
dc.subject | Biomedical | en_US |
dc.subject | Electrical and Computer Engineering | en_US |
dc.subject | Biomedical | en_US |
dc.title | Mobile On-Call System: Applying Multivariate Normal Analysis in a Personal Vital Stats Monitor | en_US |
dc.type | capstone | en_US |
Appears in Collections: | EE 4BI6 Electrical Engineering Biomedical Capstones |
Files in This Item:
File | Description | Size | Format | |
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EE4BI6_ProjectSubmissions.zip | 60.62 kB | Unknown | View/Open | |
fulltext.pdf | 917.18 kB | Adobe PDF | View/Open |
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