Name
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/MeMeA.2015.7145209 | 2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings |
Keywords | Field | DocType |
scalable ECG hardware,extended runtime,natural system,artificial system,surrounding environment,ECG sensor,informational content,standard ECG hardware,open source software,ECG processing system,wearable applications,average power consumption,context-aware scaling,wearable sensor systems | Signal processing,Wearable computer,Block cipher mode of operation,Computer science,Real-time computing,Bandwidth (signal processing),Computer hardware,Open source software,Detector,Power consumption,Scalability,Embedded system | Conference |
Citations | PageRank | References |
4 | 0.60 | 5 |
Authors | ||
11 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andreas Tobola | 1 | 8 | 2.74 |
| Chris Espig | 2 | 8 | 1.05 |
| Franz J. Streit | 3 | 8 | 1.05 |
| Oliver Korpok | 4 | 8 | 1.05 |
| Bjorn Schmitz | 5 | 8 | 1.05 |
| C. Hofmann | 6 | 36 | 6.45 |
| Matthias Struck | 7 | 21 | 3.20 |
| Christian Weigand | 8 | 9 | 3.12 |
| Heike Leutheuser | 9 | 22 | 5.19 |
| Björn Eskofier | 10 | 27 | 5.23 |
| georg fischer | 11 | 51 | 24.65 |