An mHealth System for Monitoring Medication Adherence in Obstructive Respiratory Diseases Using Content Based Audio Classification

@article{Nousias2018AnMS,
  title={An mHealth System for Monitoring Medication Adherence in Obstructive Respiratory Diseases Using Content Based Audio Classification},
  author={Stavros Nousias and Aris S. Lalos and Gerasimos Arvanitis and Konstantinos Moustakas and Triantafillos Tsirelis and Dimitrios Kikidis and Konstantinos Votis and Dimitrios Tzovaras},
  journal={IEEE Access},
  year={2018},
  volume={6},
  pages={11871-11882}
}
Asthma and chronic obstructive pulmonary disease are obstructive respiratory diseases that affect negatively the quality of life for patients and their families worldwide. Despite the significance of these diseases, their management has been considered suboptimal around the world, whereas the improper inhaler use has been underlined as one of the main causes. Toward this direction, this paper presents an integrated mHealth system that provides real-time personalized feedback to patients for… CONTINUE READING

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  • The proposed scheme reaches 98% classification accuracy significantly outperforming recent and relevant state-of-the-art approaches.

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