Mobile Application: For Anxiety and Cardiovascular Depression Monitoring Using a Smartwatch Based on Cognitive Behavioral Therapy

Lucero Huaroto, Lenis Wong, Vanessa Alvarado
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Abstract

In recent years, medical care for mental health has been affected by the confinement situation due to COVID-19. Access to these services has been strongly affected, becoming virtual to avoid close contact. However, this change brought other problems to starting conversations with the patient and monitoring their mental health since the description of events reported by the patient is not entirely accurate and can be biased. For this reason, an approach is proposed for monitoring anxiety and cardiovascular depression by applying the cognitive behavioral therapy (CBT) technique, also considering levels of the patient's physiological variables using a smartwatch. This approach consists of choosing the type of CBT technique as the basis of the mobile application, the selection of physiological variables, choosing the smartwatch model applying benchmarking, and the design of the mobile application. Two scenarios were used for the experimentation: (a) without the proposal and (b) with the proposal. Results of real-life environment validation experimentation showed an increase of more than 80% of the events discussed in therapy using the proposed solution, in addition to an average rating of 4.75 by the psychologist. Lastly, the results of the surveys show specialists and patients consider the proposal useful.
移动应用:基于认知行为疗法的智能手表焦虑和心血管抑郁监测
近年来,由于COVID-19的禁闭情况,精神卫生医疗受到了影响。这些服务的使用受到严重影响,为避免近距离接触而变得虚拟。然而,这种变化给开始与病人交谈和监测他们的精神健康带来了其他问题,因为病人报告的事件描述并不完全准确,可能有偏见。因此,研究人员提出了一种利用认知行为疗法(CBT)技术监测焦虑和心血管抑郁的方法,同时考虑到患者使用智能手表的生理变量水平。该方法包括选择CBT技术类型作为移动应用的基础,选择生理变量,选择应用标杆的智能手表型号,设计移动应用。实验采用了两种情况:(a)无提案和(b)有提案。现实生活环境验证实验的结果显示,除了心理学家给出的4.75的平均评分外,使用提议的解决方案的治疗中讨论的事件增加了80%以上。最后,调查结果表明,专家和患者认为该建议是有用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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