University of Twente Student Theses
Sleep Apnoea Detection Using Small & Cheap Sensors
Benistant, J.R. (2016) Sleep Apnoea Detection Using Small & Cheap Sensors.
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| Abstract: | Sleep apnoea syndrome (SAS) is a more occurring disease with big consequences if left untreated. The registration is expensive and uncomfortable. We want to introduce a cheap and small tool that can correctly register SAS in large populations. We have designed a BTLE sensor capable or registering the respiratory effort and pressure signal. Our data is pre-processed and analysed in existing sleep apnoea analysing software. We included 10 patients. We used 4 accelerometers, a pressure sensor (nasal cannula), a pulse oximeter and laptop microphone during our registrations. We found an agreement of 87.1\% of the registered events with the gold standard, the polysomnography (PSG). Our pressure signal showed a very good linear correlation ($r^2$=0.9451) with the PSG signal. Our respiratory effort signal has a high linear correlation ($r^2$=0.8381) with the PSG's RIP band and our registered oxygen desaturation index has a maximum deviation of 1 event/hour. Our analysis would have scored 7 out of 9 patients in the right sleep apnoea category. With this study we have shown that it is possible to reliably determine SAS by using cheap electronics, a laptop and existing analysing software. |
| Item Type: | Essay (Master) |
| Faculty: | TNW: Science and Technology |
| Subject: | 44 medicine |
| Programme: | Technical Medicine MSc (60033) |
| Link to this item: | https://purl.utwente.nl/essays/70632 |
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