Persistent Link:
http://hdl.handle.net/10150/624186
Title:
MULTI-SENSOR HEALTH PLATFORM WITH CLOUD ANALYSIS
Author:
Doddapaneni, Purna; Wofford, Quincy; Maneth, Nicole
Advisor:
Saha, Dola
Affiliation:
University of Kansas, Information and Telecommunication Technology Center
Issue Date:
2016-11
Rights:
Copyright © held by the author; distribution rights International Foundation for Telemetering
Collection Information:
Proceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.
Publisher:
International Foundation for Telemetering
Journal:
International Telemetering Conference Proceedings
Abstract:
What could we learn from monitoring our body processes with various portable sensors and an unconstrained analysis platform? Physiological processes in the human body produce observable biosignals. These signals contain a wealth of information about the condition of the body, and its reaction to environmental factors. Our study harnesses 9 unique sensors, integrated by the eHealthSensor platform for Arduino, to transmit data to an Android device. The Android device contains a local PostgreSQL database, which synchronizes with the cloud. Using this platform, researchers can monitor a subjects biosignals as they ride a roller coaster or participate in exercise activities. Nurses can monitor the vitals of multiple patients remotely. Analytic, cloud based services, managed by healthcare providers, could ultimately enable automated diagnosis of medical conditions.
Sponsors:
International Foundation for Telemetering
ISSN:
0884-5123; 0074-9079
Additional Links:
http://www.telemetry.org/

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.titleMULTI-SENSOR HEALTH PLATFORM WITH CLOUD ANALYSISen_US
dc.contributor.authorDoddapaneni, Purnaen
dc.contributor.authorWofford, Quincyen
dc.contributor.authorManeth, Nicoleen
dc.contributor.advisorSaha, Dolaen
dc.contributor.departmentUniversity of Kansas, Information and Telecommunication Technology Centeren
dc.date.issued2016-11-
dc.rightsCopyright © held by the author; distribution rights International Foundation for Telemeteringen
dc.description.collectioninformationProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.en
dc.publisherInternational Foundation for Telemeteringen
dc.description.abstractWhat could we learn from monitoring our body processes with various portable sensors and an unconstrained analysis platform? Physiological processes in the human body produce observable biosignals. These signals contain a wealth of information about the condition of the body, and its reaction to environmental factors. Our study harnesses 9 unique sensors, integrated by the eHealthSensor platform for Arduino, to transmit data to an Android device. The Android device contains a local PostgreSQL database, which synchronizes with the cloud. Using this platform, researchers can monitor a subjects biosignals as they ride a roller coaster or participate in exercise activities. Nurses can monitor the vitals of multiple patients remotely. Analytic, cloud based services, managed by healthcare providers, could ultimately enable automated diagnosis of medical conditions.en
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.identifier.issn0884-5123-
dc.identifier.issn0074-9079-
dc.identifier.urihttp://hdl.handle.net/10150/624186-
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.typetexten
dc.typeProceedingsen
dc.relation.urlhttp://www.telemetry.org/en
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