Battery Runtime Optimization Toolbox for Wearable Biomedical Sensors

Beitrag bei einer Tagung


Details zur Publikation

Autor(en): Tobola A, Leutheuser H, Schmitz B, Hofmann C, Struck M, Weigand C, Eskofier B, Fischer G
Verlag: IEEE
Jahr der Veröffentlichung: 2016
Tagungsband: 13th International Conference on Wearable and Implantable Body Sensor Networks BSN
Seitenbereich: 199-204
ISBN: 978-1-5090-3087-3
Sprache: Englisch


Abstract


Battery runtime is a critical concern for practical usage of wearable biomedical sensor systems. A long runtime requires an interdisciplinary low-power knowledge and appropriate design tools. We addressed this issue designing a toolbox in three parts: 1) Modular evaluation kit for development of wearable ultralow- power biomedical sensors; (2) Miniaturized, wearable, and code compatible sensor system with the same properties as the development kit; (3) Web-based battery runtime calculator for our sensor systems. The purpose of the development kit is optimization of the power consumption. Once optimization is finished, the same embedded software can be transferred to the miniaturized body worn sensor. The web-based application supports development quantifying the effects of use case and design decisions on battery runtime. A sensor developer can select sensor modules, configure sensor parameters, enter use case specific requirements, and select a battery to predict the battery runtime for a specific application. Our concept adds value to development of ultra-low-power biomedical wearable sensors. The concept is effective for professional work and educational purposes.



FAU-Autoren / FAU-Herausgeber

Eskofier, Björn Prof. Dr.
Stiftungs-Juniorprofessur für Sportinformatik (Digital Sports)
Fischer, Georg Prof. Dr.-Ing.
Professur für Technische Elektronik
Leutheuser, Heike
Stiftungs-Juniorprofessur für Sportinformatik (Digital Sports)
Tobola, Andreas
Professur für Technische Elektronik


Zusätzliche Organisationseinheit(en)
Zentralinstitut für Medizintechnik


Zitierweisen

APA:
Tobola, A., Leutheuser, H., Schmitz, B., Hofmann, C., Struck, M., Weigand, C.,... Fischer, G. (2016). Battery Runtime Optimization Toolbox for Wearable Biomedical Sensors. In 13th International Conference on Wearable and Implantable Body Sensor Networks BSN (pp. 199-204). San Fransisco, CA, US: IEEE.

MLA:
Tobola, Andreas, et al. "Battery Runtime Optimization Toolbox for Wearable Biomedical Sensors." Proceedings of the 13th International Conference on Wearable and Implantable Body Sensor Networks BSN, San Fransisco, CA IEEE, 2016. 199-204.

BibTeX: 

Zuletzt aktualisiert 2018-19-04 um 03:50