Conference contribution
(Conference Contribution)


Scalable ECG Hardware and Algorithms for Extended Runtime of Wearable Sensors


Publication Details
Author(s): Tobola A, Espig C, Streit FJ, Korpok O, Leutheuser H, Schmitz B, Hofmann C, Struck M, Weigand C, Eskofier B, Fischer G
Publisher: IEEE
Publication year: 2015
Conference Proceedings Title: 2015 IEEE International Symposium on Medical Measurements and Applications
Pages range: 255-260
ISBN: 978-1-4799-6476-5
Event: IEEE International Symposium on Medical Measurements and Applications (MeMeA)
Event location: Torino

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.



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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