Schizophrenia is a chronic mental illness, characterized by the loss of the notion of reality, failing to distinguish it from the imaginary. It affects the patient in life’s major areas, such as work, interpersonal relationships, or self-care, and the usual treatment is performed with the help of anti-psychotic medication, which targets primarily the hallucinations, delirium, etc. Other symptoms, such as the decreased emotional expression or avolition, require a multidisciplinary approach, including psychopharmacology, cognitive training, and many forms of therapy. In this context, this paper addresses the use of digital technologies to design and develop innovative rehabilitation techniques, particularly focusing on mental health rehabilitation, and contributing for the promotion of well-being and health from a holistic perspective. In this context, serious games and virtual reality allows for creation of immersive environments that contribute to a more effective and lasting recovery, with improvements in terms of quality of life. The use of machine learning techniques will allow the real-time analysis of the data collected during the execution of the rehabilitation procedures, as well as enable their dynamic and automatic adaptation according to the profile and performance of the patients, by increasing or reducing the exercises’ difficulty. It relies on the acquisition of biometric and physiological signals, such as voice, heart rate, and game performance, to estimate the stress level, thus adapting the difficulty of the experience to the skills of the patient. The system described in this paper is currently in development, in collaboration with a health unit, and is an engineering effort that combines hardware and software to develop a rehabilitation tool for schizophrenic patients. A clinical trial is also planned for assessing the effectiveness of the system among negative symptoms in schizophrenia patients.

中文翻译：

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用于创新心理健康康复的数字技术

精神分裂症是一种慢性精神疾病，其特点是丧失现实概念，无法将其与想象区分开来。它影响患者生活的主要领域，如工作、人际关系或自我保健，通常在抗精神病药物的帮助下进行治疗，主要针对幻觉、谵妄等其他症状，如由于情绪表达或意志力下降，需要多学科的方法，包括精神药理学、认知训练和多种形式的治疗。在此背景下，本文讨论了使用数字技术设计和开发创新康复技术，特别关注心理健康康复，并从整体的角度为促进福祉和健康做出贡献。在这种情况下，严肃的游戏和虚拟现实可以创造沉浸式环境，有助于更有效和持久的恢复，提高生活质量。机器学习技术的使用将允许实时分析在康复程序执行期间收集的数据，并根据患者的情况和表现，通过增加或减少锻炼来实现动态和自动适应'困难。它依靠采集语音、心率、游戏表现等生物识别和生理信号来估计压力水平，从而使体验的难度适应患者的技能。本文中描述的系统目前正在与卫生部门合作开发，是一项结合硬件和软件的工程努力，为精神分裂症患者开发康复工具。还计划进行一项临床试验，以评估该系统在精神分裂症患者阴性症状中的有效性。