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| Title | Towards a Non-intrusive Self-management System for Asthma Control Using Smartphones |
| Authors | Ivan Gonzalez, Cristian Carreton, Sergio Ochoa, José Bravo |
| Publication date | 2014 |
| Abstract | A noise-robust algorithm for segmentation of breath events during continuous speech is presented. The built-in microphone of a smartphone is used to capture the speech signal (voiced and breath frames) under conditions of a relatively noisy background. A template matching approach, using mel-cepstrograms, is adopted for constructing several similarity measurements to distinguish between breath and nonbreath frames. Breath events will be used for lung function regression. |
| Pages | 44-47 |
| Conference name | International Conference on Ubiquitous Computing and Ambient Intelligence |
| Publisher | Springer-Verlag (Berlin/Heidelberg, Germany) |
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