A study on non-invasive detection of blood glucose concentration from human palm perspiration by using artificial neural networks

@article{Saraoglu2010ASO,
  title={A study on non-invasive detection of blood glucose concentration from human palm perspiration by using artificial neural networks},
  author={Hamdi Melih Saraoglu and Mehmet Koçan},
  journal={Expert Systems},
  year={2010},
  volume={27},
  pages={156-165}
}
: In this paper the relationship between blood glucose concentration and palm perspiration rate is studied as a non-invasive method. A glucose concentration range from 83 mg/dl to 116.5 mg/dl is examined. An artificial neural network (ANN) trained by the Levenberg–Marquardt algorithm is developed to detect the performance indices based on the one- and two-input variables. A data set for 72 volunteers is used for this study. Data of 36 volunteers are used for training the ANN and data of 36… CONTINUE READING

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