摘要
该文通过宽量程低分辨率和窄量程高分辨率两个流量传感器组合使用实现双压差节流式呼气流量测量,低成本和精准获得用力肺活量(Forced Vital Capacity,FVC)、第一秒用力肺活量(Forced Expiratory Volume in One Second,FEV1)和1秒率(FEV1/FVC(%))等筛查慢性阻塞性肺疾病(Chronic Obstructive Pulmonary Disease,COPD)的量化指标。并与英国迈科ML3500肺功能仪进行了有效性验证,结果表明两款设备的FVC和FEV1相关性分别为0.998和0.999,配对t检验的P值均大于0.05,FVC、FEV1和FEV1/FVC(%)的Bland-Altman分析显示三个参数的测量结果均有90%以上落在一致性区间内。因此,该设备可提供准确的FVC和FEV1测量,对于提高中国COPD有效筛查和知晓率具有重要意义。
This study was to design a chronic obstructive pulmonary disease (COPD) screening equipment, based on the dualdifferential pressure throttling technique. The technique combined a wide range, but low-resolution ratio sensor and a narrow range, but high-resolution ratio one. It can accurately detect the indexes of forced vital capacity (FVC), forced expiratory volume in one second (FEV1), one second rate(FEV1/FVC (%)), and achieve them in a low-cost way. The new designed machine will be compared with a British machine, named ML-3500. The correlations of FVC and FEV1 between new machine and ML-3500 were 0.998 and 0.999, respectively. The P values of paired t test of these two indexes were over 0.05. Bland-Altman analysis of FVC, FEV1 and FEV1/FVC (%) showed that more than 90% of the scatter points of the three parameters fell within the consistency interval. This machine can be used to accurately screen COPD and its low-cost would be advantage to promote in large population.
作者
王沐
何子军
方伟
陈焱焱
WANG Mu;HE Zijun;FANG Wei;CHEN Yanyan(Institute of Intelligent Machines,Chinese Academy of Sciences,Hefei,230031)
出处
《中国医疗器械杂志》
2019年第4期263-265,共3页
Chinese Journal of Medical Instrumentation
基金
国家自然科学基金(61701482)
国家自然科学基金青年基金项目(61603371)
安徽省合肥市关键技术重大专项(ZR201711290004)