Respiratory Frequency Estimation from Accelerometric Signals Acquired by Mobile Phone in a Controlled Breathing Protocol
| Autor: | Federica Landreani, Carlo Albino Frigo, Enrico G. Caiani, Gianfranco Parati, Andrea Faini, Alba Martin-Yebra, Claudia Casellato, Esteban Pavan, P-F. Migeotte |
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| Přispěvatelé: | Landreani, F, Martin-Yebra, A, Casellato, C, Pavan, E, Frigo, C, Migeotte, P, Faini, A, Parati, G, Caiani, E |
| Rok vydání: | 2017 |
| Předmět: |
Supine position
Controlled breathing Computer science Low-pass filter Acoustics Cardiology Low pass filters Smartphones Transducers Respiratory frequency estimation accelerometric signals breathing 010401 analytical chemistry 030204 cardiovascular system & hematology 01 natural sciences 0104 chemical sciences 03 medical and health sciences 0302 clinical medicine Transducer Mobile phone Respiratory frequency Breathing Respiratory system |
| Zdroj: | CinC Zaguán. Repositorio Digital de la Universidad de Zaragoza instname |
| ISSN: | 2325-887X |
| DOI: | 10.22489/cinc.2017.137-402 |
| Popis: | The aim of this work was to test if the smartphone's embedded triaxial accelerometer can be used to extract respiratory frequency information from the chest movements during a controlled breathing protocol. Respiratory signals from 10 young volunteers were recorded simultaneously, by two smartphones (iPhone 4s and 6s; sampling frequency ∼100 Hz), positioned one on the sternum and one on the belly, while in supine posture. At the same time, a belt transducer was used to acquire the reference respiratory signal. A controlled breathing protocol, consisting of four consecutive phases of 12 respiratory cycles each (respiratory frequencies at 0.25, 0.17, 0.125 and 0.1 Hz), was imposed through the visualization of a moving bar on a display. After low-pass filtering (fc=0.5 Hz), the respiratory signal was obtained from both smartphones, and respiratory frequency derived for each phase. Compared to the belt transducer, the resulting error was lower than 2% for each imposed respiratory frequency, for both smartphones' positions, with better results obtained for the smartphone positioned above the belly. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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