Sustainable Development Goals (SDGs) give the UN a road map for development
with Agenda 2030 as a target. SDG3 "Good Health and Well-Being" ensures healthy
lives and promotes well-being for all ages. Digital technologies can support
SDG3. Burnout and even depression could be reduced by encouraging better
preventive health. Due to the lack of patient knowledge and focus to take care
of their health, it is necessary to help patients before it is too late. New
trends such as positive psychology and mindfulness are highly encouraged in the
USA. Digital Twin (DT) can help with the continuous monitoring of emotion using
physiological signals (e.g., collected via wearables). Digital twins facilitate
monitoring and provide constant health insight to improve quality of life and
well-being with better personalization. Healthcare DT challenges are
standardizing data formats, communication protocols, and data exchange
mechanisms. To achieve those data integration and knowledge challenges, we
designed the Mental Health Knowledge Graph (ontology and dataset) to boost
mental health. The Knowledge Graph (KG) acquires knowledge from ontology-based
mental health projects classified within the LOV4IoT ontology catalog (Emotion,
Depression, and Mental Health). Furthermore, the KG is mapped to standards
(e.g., ontologies) when possible. Standards from ETSI SmartM2M, ITU/WHO, ISO,
W3C, NIST, and IEEE are relevant to mental health.

使用数字技术和知识图谱提高心理健康，通过数字化双胞胎 (Digital Twin) 和可持续发展目标 (SDG3) 的支持，结合各种标准和数据集，促进健康与福祉。