Leconte Sophie, Liistro Giuseppe, Lebecque Patrick, Degryse Jean-Marie
Institute of Health and Society, Université Catholique de Louvain (UCL),Clos-Chapelle-aux-Champs 30 bte 3015 Brussels, Belgium.
Cough. 2011 Dec 1;7(1):11. doi: 10.1186/1745-9974-7-11.
The measurement of cough frequency is problematic and most often based on subjective assessment. The aim of the study was to assess the accuracy of the automatic identification of cough episodes by LR102, a cough frequency meter based on electromyography and audio sensors.
Ten adult patients complaining of cough were recruited in primary care and hospital settings. Participants were asked to wear LR102 for 4 consecutive hours during which they were also filmed.
Measures of cough frequency by LR102 and manual counting were closely correlated (r = 0.87 for number of cough episodes per hour; r = 0.89 for number of single coughs per hour) but LR102 overestimated cough frequency. Bland-Altman plots indicate that differences between the two measurements were not influenced by cough frequency.
LR102 offers a useful estimate of cough frequency in adults in their own environment, while significantly reducing the time required for analysis.
咳嗽频率的测量存在问题,且大多基于主观评估。本研究的目的是评估基于肌电图和音频传感器的咳嗽频率计LR102自动识别咳嗽发作的准确性。
在初级保健机构和医院环境中招募了10名主诉咳嗽的成年患者。要求参与者佩戴LR102连续4小时,在此期间他们也被拍摄下来。
LR102测量的咳嗽频率与人工计数密切相关(每小时咳嗽发作次数的r = 0.87;每小时单次咳嗽次数的r = 0.89),但LR102高估了咳嗽频率。布兰德-奥特曼图表明,两种测量方法之间的差异不受咳嗽频率的影响。
LR102能在成人所处环境中对咳嗽频率提供有用的估计,同时显著减少分析所需时间。