Prediction of human core body temperature using non-invasive measurement methods

@article{Niedermann2013PredictionOH,
  title={Prediction of human core body temperature using non-invasive measurement methods},
  author={Reto Niedermann and Eva Wyss and Simon Annaheim and Agnes Psikuta and Sarah L. Davey and Ren{\'e} Michel Rossi},
  journal={International Journal of Biometeorology},
  year={2013},
  volume={58},
  pages={7-15},
  url={https://api.semanticscholar.org/CorpusID:11772946}
}
The results from this study illustrate that multiple physiological parameters (e.g. skin temperature and skin heat fluxes) are needed to predict core body temperature, and the physiological measurements chosen in this study and the algorithm defined in this work are potentially applicable as real-time core bodyTemperature monitoring to assess health risk in broad range of working conditions.
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99 Citations
Highly Influential Citations
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Background Citations
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Methods Citations
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Results Citations
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99 Citations

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