Ecological Momentary Assessment Methodology in Chronic Pain Research: A Systematic Review.
Marcella May, Doerte U Junghaenel, Masakatsu Ono...
https://pubmed.ncbi.nlm.nih.gov/29371113Actively Recruiting
Led by ETH Zurich · Updated on 2025-01-20
150
Participants Needed
4
Research Sites
274 weeks
Total Duration
E
ETH Zurich
Lead Sponsor
B
Balgrist University Hospital
Collaborating Sponsor
Chronic pain, including nociceptive and neuropathic types, greatly affects psychological health and quality of life but remains difficult to manage due to its complex physical and emotional nature. This research investigates how advanced Artificial Intelligence and wearable sensors can better understand and monitor the multiple dimensions of pain. The study seeks to improve personalized pain treatment by capturing detailed physiological and psychosocial data outside of hospital or lab settings. Participants will be observed without any experimental treatment through a telemonitoring system that includes robotic wearable sensors measuring skin conductance, blood volume pressure, heart rate, and activity. They will also use a digital platform to report psychological assessments, medication use, pain levels, and sleep quality. AI models will analyze this combined data to characterize the nature of each participant's pain. During the study, participants will be monitored continuously during daily and nightly activities. Researchers will collect data on pain levels, psychosocial and physiological pain components, medication usage, and psychological and clinical factors affecting pain. The study aims to gather up to one month of detailed information, helping to identify biomarkers and improve pain management strategies.
CONDITIONS
Unveiling Physiological and Psychosocial Pain Components with an Artificial Intelligence Based Telemonitoring Tool
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Total: 4 locations
1
Unita Spinale ASL
Pietra Ligure, Savona, Italy, 17027
Actively Recruiting
2
Neuroengineering Lab
Zurich, Canton of Zurich, Switzerland, 8001
Actively Recruiting
3
Balgrist University Hospital
Zurich, Canton of Zurich, Switzerland, 8008
Actively Recruiting
4
CRR Suva (Clinique romande de réadaptation)
Sion, Valais, Switzerland, 1950
Actively Recruiting
A
Andrea Cimolato, PhD
N
Noemi Gozzi
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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