Scalable ECG Hardware and Algorithms for Extended Runtime of Wearable Sensors

Conference contribution
(Conference Contribution)


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


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.



FAU Authors / FAU Editors

Eskofier, Björn Prof. Dr.
Fischer, Georg Prof. Dr.-Ing.
Stiftungs-Juniorprofessur für Sportinformatik (Digital Sports)
Professur für Technische Elektronik
Leutheuser, Heike
Lehrstuhl für Informatik 5 (Mustererkennung)


Additional Organisation
Zentralinstitut für Medizintechnik


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.

BibTeX: 

Last updated on 2018-19-04 at 02:59