Motion Artifact Quantification and Sensor Fusion for Unobtrusive Health Monitoring

@inproceedings{Antink2017MotionAQ,
  title={Motion Artifact Quantification and Sensor Fusion for Unobtrusive Health Monitoring},
  author={Christoph Hoog Antink and Florian Schulz and Steffen Leonhardt and Marian Walter},
  booktitle={Sensors},
  year={2017}
}
Sensors integrated into objects of everyday life potentially allow unobtrusive health monitoring at home. However, since the coupling of sensors and subject is not as well-defined as compared to a clinical setting, the signal quality is much more variable and can be disturbed significantly by motion artifacts. One way of tackling this challenge is the combined evaluation of multiple channels via sensor fusion. For robust and accurate sensor fusion, analyzing the influence of motion on different… CONTINUE READING

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