Conference contribution


Battery Runtime Optimization Toolbox for Wearable Biomedical Sensors


Publication Details
Author(s): Tobola A, Leutheuser H, Schmitz B, Hofmann C, Struck M, Weigand C, Eskofier B, Fischer G
Publisher: IEEE
Publication year: 2016
Conference Proceedings Title: 13th International Conference on Wearable and Implantable Body Sensor Networks BSN
Pages range: 199-204
ISBN: 978-1-5090-3087-3

Event details
Event: 13th International Conference on Wearable and Implantable Body Sensor Networks BSN
Event location: San Fransisco, CA
Start date of the event: 14/06/2016
End date of the event: 17/06/2016
Language: English

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.



Focus Area of Individual Faculties


How to cite
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.

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