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| Content Provider | IET Digital Library |
|---|---|
| Author | Lin, Yan Ye, Jian Hong Jin, Meng Si Zheng, Yu Hang |
| Abstract | The application of non-invasive devices in personal health care is becoming more and more widespread, especially sleep quality, which is a critical part of personal health because it is often associated with many diseases. Using some sensor devices such as pressure sensors, photoplethysmography and heart rate devices, the authors can collect a lot of physiological signals. In this work, they provide a method of fuzzy inference to evaluate the sleep phase, which uses the values of heart rate, heart rate variation, and body movement as input parameters that collected by the sensor devices. This method has been applied to the actual product. The results show that the measurement results of this method are consistent with polysomnography, which is recognised as the best method for measuring sleep quality currently. At the same time, the device can make some additional contributions to monitoring personal health. Combining personal activity information collected by GPS with heart rate information collected by heart rate sensors and using process mining to analyse those data, they can provide good recommendations for personal health care. |
| Starting Page | 1139 |
| Ending Page | 1147 |
| Page Count | 9 |
| Volume Number | 2020 |
| e-ISSN | 20513305 |
| Issue Number | Issue 11, Nov (2020) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2020/11 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.1102 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2020-07-17 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution-Non Commercial-No Derivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) |
| Subject Keyword | Biology And Medical Computing Biomedical Equipment Biomedical Measurement Biomedical Measurement And Imaging Body Movement Cardiology Data Mining Diseases Fuzzy Inference Fuzzy Reasoning Healthcare Heart Rate Device Heart Rate Information Heart Rate Sonsor Heart Rate Variation Knowledge Engineering Technique Medical Computing Noninvasive Sensor Device Patient Diagnostic Method And Instrumentation Patient Monitoring Personal Activity Information Personalised Health Care Pressure Sonsor Process Mining Sensing And Detecting Device Sensing Device And Transducers Sensor Sleep Sleep Phase Sleep Quality |
| Content Type | Text |
| Resource Type | Article |
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