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Distinguishing emotional from physical activation in ambulatory psychophysiological monitoring.

机译:在动态心理生理监测中区分情绪与身体激活。

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Ambulatory monitoring has gained powerful new tools due to recent electronic and computer advances. The capability simultaneously to monitor numerous physiological parameters and behavior enhances the ecological validity of field assessment, but methodological challenges abound that can compromise attempts to understand biobehavioral relations in the real world. A major obstacle is that physiological dysregulation or emotion effects can be masked by variation in physical activity. Using a multi-channel ambulatory recording system, a wide array of self-report, physiological and environmental measurements was collected from 28 participants during quiet sitting, physical exercise and an emotion induction consisting of a short commercial flight. Half of the participants were selected to respond to flying with intense anxiety, the other half, with moderate excitement. Recorded channels included ECG, EDA, calibrated respiration pattern, and skin temperature, from which 17 physiological parameters were calculated. Accelerometry and self-report in an emotion diary served as manipulation checks. Results indicate that many parameters, including heart rate, respiratory sinus arrhythmia, and skin conductance level and its fluctuation rate, were strongly and nonspecifically affected by both anxiety and exercise. However, parameters of respiratory volume were particularly responsive to exercise, while certain parameters of irregularity in breathing were to anxiety. Several respiratory timing parameters were responsive to both exercise and excitement. We conclude that physiological measures provide information helping to distinguish emotional from physical activation. However, additional context awareness is necessary for confident data interpretation in ambulatory recording. This can be achieved by specific channels such as accelerometry, items in an electronic diary, semi-structured protocols, and statistical modeling.
机译:由于最近电子和计算机技术的进步,动态监视已获得了功能强大的新工具。同时监测多种生理参数和行为的能力增强了田间评估的生态有效性,但是方法学上的挑战比比皆是,这些挑战可能会破坏试图了解现实世界中生物行为关系的尝试。一个主要的障碍是生理失调或情绪影响可以被体育活动的变化所掩盖。使用多通道动态记录系统,在安静的坐姿,体育锻炼和包括短暂的商业飞行在内的情绪诱导期间,从28名参与者中收集了各种各样的自我报告,生理和环境测量值。选择了一半的参与者以强烈的焦虑对飞行做出反应,另一半的参与者则以中度兴奋。记录的通道包括ECG,EDA,校准的呼吸模式和皮肤温度,从中计算出17个生理参数。情绪日记中的加速度计和自我报告可作为操作检查。结果表明,焦虑和运动都强烈且非特异性地影响了许多参数,包括心率,呼吸窦性心律不齐,皮肤电导水平及其波动率。然而,呼吸量的参数对运动特别敏感,而呼吸不规则的某些参数则是对焦虑的影响。几个呼吸时间参数对运动和兴奋都有反应。我们得出的结论是,生理措施提供的信息有助于区分情绪激活与身体激活。但是,对于动态记录中的可靠数据解释,需要额外的上下文意识。这可以通过特定的渠道来实现,例如加速度计,电子日记中的项目,半结构化协议和统计建模。

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