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Proceedings Paper

A sensor data format incorporating battery charge information for smartphone-based mHealth applications
Author(s): Rodrigo Escobar; David Akopian; Rajendra Boppana
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Paper Abstract

Remote health monitoring systems involve energy-constrained devices, such as sensors and mobile gateways. Current data formats for communication of health data, such as DICOM and HL7, were not designed for multi-sensor applications or to enable the management of power-constrained devices in health monitoring processes. In this paper, a data format suitable for collection of multiple sensor data, including readings and other operational parameters is presented. By using the data format, the system management can assess energy consumptions and plan realistic monitoring scenarios. The proposed data format not only outperforms other known data formats in terms of readability, flexibility, interoperability and validation of compliant documents, but also enables energy assessment capability for realistic data collection scenarios and maintains or even reduces the overhead introduced due to formatting. Additionally, we provide analytical methods to estimate incremental energy consumption by various sensors and experiments to measure the actual battery drain on smartphones.

Paper Details

Date Published: 11 March 2015
PDF: 7 pages
Proc. SPIE 9411, Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2015, 941103 (11 March 2015); doi: 10.1117/12.2083758
Show Author Affiliations
Rodrigo Escobar, The Univ. of Texas at San Antonio (United States)
David Akopian, The Univ. of Texas at San Antonio (United States)
Rajendra Boppana, The Univ. of Texas at San Antonio (United States)


Published in SPIE Proceedings Vol. 9411:
Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2015
Reiner Creutzburg; David Akopian, Editor(s)

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