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| Acadêmico(a): Marcio Michelluzzi |
| Título: Aplicativo para detecção de sintomas da síndrome da apneia obstrutiva do sono |
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| Abstract: |
| This work describes an application for identification of obstructive sleep apnea symptoms using an android device. The application is based on a client/server architecture where a mobile device acts as on acquisition unit and the server process the signals using techniques such as Fast Fourier Transform and peak location algorithms, as well as provide a visualization interface. The first results showed that this is a viable solution, however, further improvements are needed in order to fine tune the application with professional polysomnography equipaments. |
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