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呼吸肌周期性活动的自动测量。

Automated measurement of the cyclic activity of respiratory muscles.

作者信息

Drinnan M J, Murray A, White J E, Smithson A J, Gibson G J, Griffiths C J

机构信息

Regional Medical Physics Department, Freeman Hospital, Newcastle Upon Tyne, UK.

出版信息

Med Eng Phys. 1994 Nov;16(6):477-83. doi: 10.1016/1350-4533(94)90072-8.

Abstract

A microcomputer-based system developed for the automated analysis of the electromyogram (EMG) recorded from respiratory muscles in a variety of situations is described. In addition, an assessment of the performance of the system is presented, along with data relating intercostal EMG activity to ribcage movement in seated subjects. Studies were performed on sixteen normal subjects--non smokers, mean (+/- SD) age 31 (+/- 6) years, mean (+/- SD) mass 78 (+/- 8) kg--of which fifteen studies proved suitable for analysis. Each study lasted for a period of five minutes, during which time recordings of intercostal EMG, ribcage postero-anterior displacement (RCPA) and airflow were made. For every breath taken by each of the subjects, the peak integrated EMG activity (iEMGpeak) was measured both by hand and by the automated system. The automated and manual measurements of iEMGpeak, which ranged from 0.0 to 91.3 microV, differed by only -0.82 +/- 3.34 microV (mean +/- SD). The index iEMGpeak and two additional indices of iEMG activity (iEMGmean, iEMGarea) were evaluated with respect to RCPA, a measure of overall respiratory activity. The indices of iEMG were observed to show an exponential dependence on RCPAamp, the amplitude of ribcage motion. Following a log transformation to linearise the relationship, the correlation of each index with RCPAamp was evaluated; iEMGpeak and iEMGarea correlated similarly with RCPAamp (no significant difference at 5% level), but iEMGmean was found to be a significantly different (p < 0.001) and poorer correlate. We conclude that the automated analysis of respiratory iEMG as described in this paper can provide results showing consistency with manual measurement.(ABSTRACT TRUNCATED AT 250 WORDS)

摘要

本文描述了一种基于微型计算机的系统,该系统用于在多种情况下对呼吸肌记录的肌电图(EMG)进行自动分析。此外,还介绍了对该系统性能的评估,以及关于坐位受试者肋间肌EMG活动与胸廓运动关系的数据。对16名正常受试者(非吸烟者,平均(±标准差)年龄31(±6)岁,平均(±标准差)体重78(±8)kg)进行了研究,其中15项研究证明适合分析。每项研究持续5分钟,在此期间记录肋间肌EMG、胸廓前后位移(RCPA)和气流。对于每个受试者的每一次呼吸,通过手动和自动系统测量峰值积分EMG活动(iEMGpeak)。iEMGpeak的自动测量和手动测量范围为0.0至91.3微伏,两者仅相差-0.82±3.34微伏(平均±标准差)。针对作为整体呼吸活动指标的RCPA,评估了iEMGpeak指数以及另外两个iEMG活动指数(iEMGmean、iEMGarea)。观察到iEMG指数对胸廓运动幅度RCPAamp呈指数依赖性。经过对数变换使关系线性化后,评估每个指数与RCPAamp的相关性;iEMGpeak和iEMGarea与RCPAamp的相关性相似(在5%水平无显著差异),但发现iEMGmean有显著差异(p<0.001)且相关性较差。我们得出结论,本文所述的呼吸iEMG自动分析能够提供与手动测量结果一致的结果。(摘要截断于250字)

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