IEEE J Biomed Health Inform. 2019 Nov;23(6):2302-2316. doi: 10.1109/JBHI.2019.2938111. Epub 2019 Sep 9.
Mood disorders affect more than 300 million people worldwide and can cause devastating consequences. Elderly people and patients with neurological conditions are particularly susceptible to depression. Gait and body movements can be affected by mood disorders, and thus they can be used as a surrogate sign, as well as an objective index for pervasive monitoring of emotion and mood disorders in daily life. Here we review evidence that demonstrates the relationship between gait, emotions and mood disorders, highlighting the potential of a multimodal approach that couples gait data with physiological signals and home-based monitoring for early detection and management of mood disorders. This could enhance self-awareness, enable the development of objective biomarkers that identify high risk subjects and promote subject-specific treatment.
心境障碍影响着全球超过 3 亿人，并可能导致灾难性的后果。老年人和患有神经疾病的患者特别容易患抑郁症。步态和身体运动可能会受到心境障碍的影响，因此它们可以作为替代指标，以及日常生活中对情感和心境障碍进行广泛监测的客观指标。在这里，我们回顾了证明步态、情绪和心境障碍之间关系的证据，强调了将步态数据与生理信号和基于家庭的监测相结合的多模态方法的潜力，用于早期发现和管理心境障碍。这可以增强自我意识，确定高危人群的客观生物标志物，并促进针对特定个体的治疗。
