Paraschiv-Ionescu Anisoara, Buchser Eric, Aminian Kamiar
Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland.
Sci Rep. 2013;3:2019. doi: 10.1038/srep02019.
Chronic pain is a complex disabling experience that negatively affects the cognitive, affective and physical functions as well as behavior. Although the interaction between chronic pain and physical functioning is a well-accepted paradigm in clinical research, the understanding of how pain affects individuals' daily life behavior remains a challenging task. Here we develop a methodological framework allowing to objectively document disruptive pain related interferences on real-life physical activity. The results reveal that meaningful information is contained in the temporal dynamics of activity patterns and an analytical model based on the theory of bivariate point processes can be used to describe physical activity behavior. The model parameters capture the dynamic interdependence between periods and events and determine a 'signature' of activity pattern. The study is likely to contribute to the clinical understanding of complex pain/disease-related behaviors and establish a unified mathematical framework to quantify the complex dynamics of various human activities.
慢性疼痛是一种复杂的致残体验，会对认知、情感、身体功能以及行为产生负面影响。尽管慢性疼痛与身体功能之间的相互作用在临床研究中是一个被广泛接受的范式，但理解疼痛如何影响个体的日常生活行为仍然是一项具有挑战性的任务。在此，我们开发了一个方法框架，用于客观记录与疼痛相关的对现实生活中身体活动的干扰。结果表明，活动模式的时间动态中包含有意义的信息，并且基于二元点过程理论的分析模型可用于描述身体活动行为。模型参数捕捉了时间段与事件之间的动态相互依存关系，并确定了活动模式的“特征”。这项研究可能有助于临床理解复杂的疼痛/疾病相关行为，并建立一个统一的数学框架来量化各种人类活动的复杂动态。
