Intelligent sensing devices and systems for personalized mental health

Area of Science:

• Neuroscience and Psychiatry
• Biomedical Engineering
• Digital Health

Background:

• Mental disorders significantly impact cognition, emotion, and behavior, reducing quality of life.
• Current diagnosis and treatment face challenges in objective assessment and personalized intervention.
• There is a need for advanced tools to improve mental healthcare delivery.

Purpose of the Study:

• To review intelligent sensing devices and systems for mental disorder diagnosis, monitoring, and management.
• To emphasize the role of these technologies in personalized mental healthcare.
• To explore the integration of sensing technologies with AI and digital health.

Main Methods:

• Discussion of mental disorder mechanisms, symptoms, and diagnostic principles.
• Review of wearable sensors and systems for physiological parameter tracking.
• Highlighting advancements in Artificial Intelligence (AI) and digital health.

Main Results:

• Intelligent sensing devices can track physiological markers for long-term monitoring, early screening, and treatment evaluation.
• AI and digital health advancements offer new possibilities for personalized mental healthcare.
• Integration of sensing technologies with AI is crucial for addressing current challenges.

Conclusions:

• Innovative intelligent sensing technologies can significantly improve patient quality of life.
• These technologies can enhance healthcare system efficiency and robustness.
• Sensing technologies hold potential to reduce the socioeconomic burden of mental disorders.