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Analysis of physiological signals in response to stress using ECG and respiratory signals of automobile drivers

机译:使用心电图和汽车驾驶员的呼吸信号分析生理压力信号

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This paper gives an analysis of variation of the physiological signals of a person with respect to the stress developed within him/her. The analysis was done using ECG and respiratory signals acquired from the automobile drivers who were made to drive on different road conditions to get different stress levels. As a part of analysis, we extracted two feature signals from the above said physiological signals. QRS power spectrum and the breathing rate were the two feature signals that were extracted from the mentioned physiological signals. Heart rate was used as the marker signal for analyzing the variations in the extracted physiological feature signals. The variations in the feature signals with respect to the stress were expressed in terms of correlation coefficients and were tabulated. The analysis clearly showed the changes in the feature signals with respect to the stress of the driver. It showed a direct proportionate relation in the QRS power and the breathing rate with respect to the stress of the driver. The analysis also showed that QRS power signal is a better feature signal for analyzing the stress since it showed more correlation with the heart rate marker signal. The analysis points out the fact that the physiological signals can be used as a metric for monitoring the stress of a person.
机译:本文对一个人的生理信号相对于他/她内所产生的压力的变化进行了分析。使用心电图和从汽车驾驶员那里获取的呼吸信号进行分析,这些驾驶员被迫在不同的道路条件下行驶以获得不同的压力水平。作为分析的一部分,我们从上述生理信号中提取了两个特征信号。 QRS功率谱和呼吸频率是从上述生理信号中提取的两个特征信号。心率用作分析提取的生理特征信号变化的标记信号。特征信号相对于应力的变化用相关系数表示并制成表格。分析清楚地表明了特征信号相对于驾驶员压力的变化。它显示了QRS功率和呼吸速率相对于驾驶员压力的直接比例关系。分析还显示,QRS功率信号与心率标记信号显示出更多的相关性,因此它是分析压力的较好特征信号。分析指出了这样的事实,生理信号可以用作监测人的压力的度量。

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