使用Python和库Tkinter开发基于认知行为治疗方法监测人类心理健康的应用程序

I. Marchenko, O. Balalaieva, A. Serhiienko, O. Kior
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引用次数: 0

摘要

本文提供了利用现代心理学方法和信息技术监测一个人的心理健康的材料。心理健康领域的IT产品可以实现为Telegram bots、移动应用、桌面应用、网站、社交网络等。对收集和分析一个人的心理状态、情绪、睡眠模式、抑郁迹象、各种类型的障碍等数据的现有软件进行了分析。据透露,现有软件产品的主要缺点是缺乏对测试的认证和对使用基于科学的方法来解释所获得的结果的确认。这项工作展示了它自己的软件,用于监测一个人的心理健康,这是基于认知行为疗法的方法。该产品以Python编写的桌面应用程序的格式实现,使用标准GUI库Tkinter和附加库CustomTkinter和TTKBOOTSTRAP。开发的软件产品的主要目的是让用户监控自己的心理健康,包括跟踪情绪、焦虑水平、情绪状态、压力水平、睡眠质量等。该应用程序还提供有关保持心理健康和减轻压力的有用提示和建议。该应用程序的功能功能允许一个人进行初步的自我诊断,以检测抑郁症,SAD,强迫症,创伤后应激障碍,焦虑和认知障碍,以及使用SMER表和笔记本进行进一步的自我分析。在创建程序时,使用了面向对象的方法,并使用算法进行最佳按钮生成和使用框架生成调查。为了测试开发的软件及其背后的数学模型,对手语手势的识别进行了实时实验研究
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Development of an application for monitoring human mental health based on cognitive-behavioral therapy methods using Python and library Tkinter
The article provides material on monitoring a person's mental health using modern psychological approaches and information technologies. IT products in the field of mental health can be implemented as Telegram bots, mobile applications, desktop applications, websites, social networks, etc. An analysis of available software for collecting and analyzing data on a person's psychological state, his mood, sleep patterns, the presence of signs of depression, various types of disorders, etc. was carried out. It was revealed that the main drawback of the existing software products is the lack of certification of tests and confirmation of the use of scientifically based methods for the interpretation of the obtained results. The work presents its own software for monitoring a person's mental health, which is based on the methods of cognitive-behavioral therapy. The product is implemented in the format of a desktop application written in Python using standard GUI library Tkinter and additional libraries CustomTkinter and, TTKBOOTSTRAP. The main purpose of the developed software product is to allow the user to monitor his own psychological health, including tracking mood, anxiety level, emotional state, stress level, sleep quality, etc. The app also provides helpful tips and advice on maintaining mental health and reducing stress. Functional capabilities of the application allow a person to conduct preliminary self-diagnosis to detect depression, SAD, OCD, PTSD, anxiety and cognitive disorder, as well as use SMER tables and a notebook for further self-analysis. When creating the program, an object-oriented approach was used with the use of algorithms for optimal button generation and survey generation using frames. To test the developed software and the mathematical model that underlies it, experimental studies were carried out in real time on the recognition of gestures of the sign language
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