Patient Monitoring Technologies for In-Situ Assessment of Emotional Processes In Naturalistic Settings

在自然环境中进行现场和门诊患者监测，可以在受控的临床环境之外观察症状，最终增强评估和诊断过程。虽然已经提出了大量用于现场监测生理病理（例如，心脏异常，癫痫发作）的系统，但监测精神和精神健康相关症状的技术很少。这些技术可以补充和加强一般依赖高度主观的自我和照护者报告的现有评估方法。在这个领域，情绪过程的监测是特别感兴趣的，因为这些过程在精神病理学中起着关键作用（例如，焦虑，抑郁，边缘型人格障碍，双相情感障碍）。该计划的长期目标是开发智能、移动和可穿戴计算系统，用于持续和现场监测与精神疾病相关的症状以及相关的环境因素。***在本提案中，我们将重点关注基于生理信号的情绪监测，因为这些变量可以在各种环境中使用可穿戴传感器进行无创测量。生理变化也是情感体验的关键组成部分，非典型生理与精神病理有关。现有的情绪过程生理监测系统是在人工诱导情绪体验的高度控制的实验室环境中开发和评估的。为了使这些系统能够在自然环境中进行动态和原位情绪监测，必须解决与建模个人之间和个人内部变异性以及其他认知和身体过程的混淆影响相关的技术挑战。为了解决这些差距，该项目的短期目标是：1)开发用于连续估计和适应时变生理基线的算法；2)开发用于区分情绪相关生理变化与认知和身体活动相关生理变化的分类算法；3)开发用于连续测量和标记现实生活条件下情绪相关生理反应的可穿戴和移动系统。***该研究项目将建立创新的新方法，以推进从受控实验室环境到自然环境的情感检测研究。最终，拟议方案的结果可以改善和加强精神和精神健康障碍的诊断和评估。本研究项目开发的方法将直接转移到其他应用领域，包括情感计算和丰富的人机交互

In-situ and ambulatory patient monitoring in naturalistic settings enables symptom observation outside controlled clinical settings, ultimately enhancing assessment and diagnostic processes. While a plethora of systems have been proposed for in-situ monitoring of physiological pathologies (e.g., cardiac abnormalities, seizures), technologies that monitor psychiatric- and mental health-related symptoms are scarce. These technologies can complement and enhance existing assessment methods which generally rely on highly subjective self- and care-giver reports. In this domain, monitoring of emotional processes is of specific interest as these processes play a key role in psychopathology (e.g., anxiety, depression, borderline personality disorder, bipolar disorders). The long-term objective of the proposed program is to develop intelligent, mobile, and wearable computing systems for continuous and in-situ monitoring of symptoms associated with psychiatric disorders as well as the related contextual factors.***In this proposal, we will focus on emotion monitoring based on physiological signals as these variables can be non-invasively measured with wearable sensors in a variety of environments. Physiological change is also a key component of the emotional experience and atypical physiology has been associated with psychopathology. Existing systems for physiological monitoring of emotional processes have been developed and evaluated in highly controlled laboratory settings where emotional experiences are artificially induced. To allow the translation of these systems ambulatory and in-situ emotion monitoring in naturalistic settings, technical challenges related to modeling inter- and intra-personal variability as well as confounding affects of other cognitive and physical processes must be resolved. To address these gaps, the short-terms objectives of this program are to 1) develop algorithms for continuous estimation and adaptation of a time-varying physiological baseline, 2) develop classification algorithms for differentiating emotion-related physiological changes from those associated with cognitive and physical activity, and 3) develop a wearable and mobile system for continuous measurement and labeling of emotion-related physiological responses in real-life conditions. ***This research program will establish innovative new methods to advance emotion detection research from controlled laboratory settings to naturalistic environments. Ultimately, the outcomes of the proposed program can improve and enhance diagnosis and assessment of psychiatric and mental health disorders. The methods developed in this research program will be directly transferable to other application domains including affective computing and enriched human-computer interaction.**