Digital Technologies for Innovative Mental Health Rehabilitation

نویسندگان

چکیده

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

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ژورنال

عنوان ژورنال: Electronics

سال: 2021

ISSN: ['2079-9292']

DOI: https://doi.org/10.3390/electronics10182260