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Establishing a gold standard for manual cough counting: video versus digital audio recordings

机译:建立手动咳嗽计数的黄金标准:视频和数字录音

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Background Manual cough counting is time-consuming and laborious; however it is the standard to which automated cough monitoring devices must be compared. We have compared manual cough counting from video recordings with manual cough counting from digital audio recordings. Methods We studied 8 patients with chronic cough, overnight in laboratory conditions (diagnoses were 5 asthma, 1 rhinitis, 1 gastro-oesophageal reflux disease and 1 idiopathic cough). Coughs were recorded simultaneously using a video camera with infrared lighting and digital sound recording. The numbers of coughs in each 8 hour recording were counted manually, by a trained observer, in real time from the video recordings and using audio-editing software from the digital sound recordings. Results The median cough frequency was 17.8 (IQR 5.9–28.7) cough sounds per hour in the video recordings and 17.7 (6.0–29.4) coughs per hour in the digital sound recordings. There was excellent agreement between the video and digital audio cough rates; mean difference of -0.3 coughs per hour (SD ± 0.6), 95% limits of agreement -1.5 to +0.9 coughs per hour. Video recordings had poorer sound quality even in controlled conditions and can only be analysed in real time (8 hours per recording). Digital sound recordings required 2–4 hours of analysis per recording. Conclusion Manual counting of cough sounds from digital audio recordings has excellent agreement with simultaneous video recordings in laboratory conditions. We suggest that ambulatory digital audio recording is therefore ideal for validating future cough monitoring devices, as this as this can be performed in the patients own environment.
机译:背景技术手动咳嗽计数既费时又费力。但是,这是自动咳嗽监测设备必须与之相比的标准。我们将视频录像中的手动咳嗽计数与数字音频录像中的手动咳嗽计数进行了比较。方法我们研究了8例慢性咳嗽患者,在实验室条件下过夜(诊断为5例哮喘,1例鼻炎,1例胃食管反流病和1例特发性咳嗽)。使用具有红外照明和数字录音功能的摄像机同时记录咳嗽情况。训练有素的观察员手动从录像中实时计数每8小时记录中的咳嗽次数,并使用数字录音中的音频编辑软件进行实时计数。结果在录像中,每小时咳嗽的中位数为每小时17.8(IQR 5.9–28.7),在数字录像中,每小时的咳嗽中位数为每小时17.7(6.0–29.4)。视频和数字音频咳嗽率之间有很好的一致性;平均差异为每小时-0.3咳嗽(SD±0.6),协议限制的95%极限-1.5至+0.9每小时咳嗽。即使在受控条件下,视频录制的声音质量也较差,并且只能实时分析(每次录制8小时)。数字录音需要对每个录音进行2–4个小时的分析。结论手动计数数字音频记录中的咳嗽声与在实验室条件下同时进行视频记录具有极好的一致性。因此,我们建议动态数字录音是验证未来咳嗽监测设备的理想选择,因为这可以在患者自己的环境中进行。

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