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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Saeki, K. Baba, Y. Takatori, F. Inoue, M. Kobayashi, N. Yamamori, S. |
| Copyright Year | 2014 |
| Description | Author affiliation: Nihon Kohden Corp., Shinjyuku, Japan (Saeki, K.; Baba, Y.; Takatori, F.; Inoue, M.; Kobayashi, N.; Yamamori, S.) |
| Abstract | Capnometry is a method to measure carbon dioxide $(CO_{2})$ in exhaled gas and its use during polysomnography (PSG) for diagnostic of sleep apnea-hypopnea syndrome is expanding. However, some problems exist for using capnometer in combination with other respiratory monitoring devices because capnometry requires additional sampling cannula or airway adapter attached to patients. To resolve these problems, we developed a novel mainstream capnometer system for PSG, which is designed to integrate multiple devices for measuring respiratory parameters. This system may provide comfortable and stable PSG including capnometry. We evaluated the basic performance of this system using a spontaneous breathing model. The result indicates that this newly developed system works adequately in PSG and moreover has superior characteristics of capnography signal and measurement stability against displacement of sensors, compared to conventional devices. |
| Sponsorship | IEEE Eng. Med. Biol. Soc. |
| Starting Page | 2139 |
| Ending Page | 2143 |
| File Size | 953957 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424479290 |
| ISSN | 1557170X |
| DOI | 10.1109/EMBC.2014.6944040 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-08-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Mouth Pressure measurement Atmospheric modeling Sleep apnea Thermal stability Electron tubes Thermal sensors |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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