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Using AI and Wearable Sensors to Monitor Physical and Emotional Aspects of Chronic and Acute Pain
Led by ETH Zurich · Updated on 2025-01-20
150
Participants Needed
4
Research Sites
2 weeks
Total Duration
AI-Summary
What this Trial Is About
Researchers are studying chronic nociceptive and neuropathic pain, focusing on both physical and emotional components. The study aims to improve pain monitoring and treatment by using advanced Artificial Intelligence AI and wearable sensors to better understand patients multidimensional pain experiences. This approach addresses challenges in traditional pain management, such as unspecific drug use and high healthcare costs, and seeks to provide more personalized care. Participants will be monitored using a novel telemonitoring system that includes wearable robotic sensors to measure physiological data like skin conductance, blood volume pressure, heart rate, and activity. A digital platform will collect psychological assessments, medication use, pain levels, and sleep quality. An AI engine will analyze all collected data to characterize the nature of each patients pain. The system collects data continuously during normal daily and nightly activities. During the study, participants pain levels, psychosocial and physiological aspects of pain, psychological and clinical factors, and medication intake will be tracked for up to one month. Additional measures include rehabilitation effects, sleep and activity correlations, predictors of pain chronification, quality of life, and medication responsiveness. This observational study involves no intervention, and participants include both pain sufferers and healthy controls who will be monitored and assessed using questionnaires and wearable technology.
CONDITIONS
Brief Title
Unveiling Physiological and Psychosocial Pain Components with an Artificial Intelligence Based Telemonitoring Tool
Research Team
A
Andrea Cimolato, PhD
N
Noemi Gozzi
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