Methods for Detection and Classification of Normal Swallowing from Muscle Activation and Sound

@article{Amft2006MethodsFD,
  title={Methods for Detection and Classification of Normal Swallowing from Muscle Activation and Sound},
  author={Oliver Amft and Gerhard Tr{\"o}ster},
  journal={2006 Pervasive Health Conference and Workshops},
  year={2006},
  pages={1-10}
}
Swallowing is an important part of the dietary process. This paper presents an investigation to detect and classify normal swallowing during eating and drinking from electromyography and microphone sensors. The non-invasive sensors are selected in order to integrate them into a collar-like fabric for continuous monitoring of swallowing activity over a day. We compare methods for the detection of individual swallowing events from continuous sensor data. Furthermore we present a classifier… CONTINUE READING
Highly Cited
This paper has 225 citations. REVIEW CITATIONS
37 Citations
14 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 37 extracted citations

225 Citations

050'09'12'15'18
Citations per Year
Semantic Scholar estimates that this publication has 225 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 14 references

Similar Papers

Loading similar papers…