Validation of novel automatic ultra-wideband radar for sleep apnea detection
| Autor: | Joy Q. Jin, Enguo Chen, Kejing Ying, Pan Zhou, Zhang Wenxia, Wenjing Ruan, Guangyue Qin, Yuanhua Qiu, Yong Zhou, Degui Shu, Hao Zhu, Hangdi Xu |
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| Rok vydání: | 2020 |
| Předmět: |
Pulmonary and Respiratory Medicine
medicine.medical_specialty Intraclass correlation Concordance Polysomnography 030204 cardiovascular system & hematology law.invention Correlation 03 medical and health sciences 0302 clinical medicine stomatognathic system law Internal medicine Medicine Radar Receiver operating characteristic medicine.diagnostic_test business.industry Sleep apnea medicine.disease nervous system diseases respiratory tract diseases Obstructive sleep apnea Cardiology Original Article business 030217 neurology & neurosurgery |
| Zdroj: | J Thorac Dis |
| ISSN: | 2077-6624 2072-1439 |
| DOI: | 10.21037/jtd.2020.02.59 |
| Popis: | BACKGROUND: To validate the accuracy of ultra-wideband (UWB) wireless radar for the screening diagnosis of sleep apnea. METHODS: One hundred and seventy-six qualified participants were successfully recruited. Apnea-hypopnea index (AHI) results from polysomnography (PSG) were reviewed by physicians, while the radar device automatically calculated AHI values with an embedded chip. All results were statistically analyzed. RESULTS: A UWB radar-based AHI algorithm was successfully developed according to respiratory movement and body motion signals. Of all 176 participants, 63 exhibited normal results (AHI |
| Databáze: | OpenAIRE |
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