Scalable ECG Hardware and Algorithms for Extended Runtime of Wearable Sensors

Tobola A, Espig C, Streit FJ, Korpok O, Leutheuser H, Schmitz B, Hofmann C, Struck M, Weigand C, Eskofier B, Fischer G (2015)

Publication Type: Conference contribution, Conference Contribution

Publication year: 2015

Publisher: IEEE

Pages Range: 255-260

Conference Proceedings Title: 2015 IEEE International Symposium on Medical Measurements and Applications

Event location: Torino

ISBN: 978-1-4799-6476-5

DOI: 10.1109/MeMeA.2015.7145209

Abstract

Everything in nature tries to reach the lowest possible energy level. Therefore any natural or artificial system must have the ability to adjust itself to the changing requirements of its surrounding environment. In this paper we address this issue by an ECG sensor designed to be adjustable during runtime, having the ability to reduce the power consumption at cost of the informational content. Accessible for everyone, standard ECG hardware and open source software has been used to realize an ECG processing system for wearable applications. The average power consumption has been measured for each mode of operation. Finally we take conclusion to conciser context-aware scaling as key feature to address the energy issue of wearable sensor systems.

Authors with CRIS profile

Additional Organisation(s)

Involved external institutions

Fraunhofer-Institut für Integrierte Schaltungen (IIS) Germany (DE)

How to cite

APA:

Tobola, A., Espig, C., Streit, F.-J., Korpok, O., Leutheuser, H., Schmitz, B.,... Fischer, G. (2015). Scalable ECG Hardware and Algorithms for Extended Runtime of Wearable Sensors. In 2015 IEEE International Symposium on Medical Measurements and Applications (pp. 255-260). Torino, IT: IEEE.

MLA:

Tobola, Andreas, et al. "Scalable ECG Hardware and Algorithms for Extended Runtime of Wearable Sensors." Proceedings of the IEEE International Symposium on Medical Measurements and Applications (MeMeA), Torino IEEE, 2015. 255-260.

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