Unveiling Physiological and Psychosocial Pain Components with an Artificial Intelligence Based Telemonitoring Tool
Unveiling Physiological and Psychosocial Pain Components with an Artificial Intelligence Based Telemonitoring Tool (pAIn-sense)
ETH Zurich
150 participants
Sep 29, 2023
OBSERVATIONAL
Conditions
Summary
The pAIn-sense study aims to revolutionize the monitoring and treatment of chronic pain, a major health concern that significantly impacts psychological well-being and quality of life. Traditional approaches to pain management face challenges like unspecific drug use and high healthcare costs, and they often leave patients dissatisfied. PAIn-sense aims at comprehensively understanding pain from both physical and emotional perspectives. To accomplish this, the study will employ advanced Artificial Intelligence (AI) techniques and wearable sensing technology. The study aims to monitor patients continuously, during both day and night activities, to gather a multidimensional set of data on their physiological, psychosocial, and pain conditions.
Eligibility
Inclusion Criteria2
- Ongoing nociceptive pain after an injury or Neuropathic pain (acute or chronic)
- Familiar with using electronic devices
Exclusion Criteria2
- Inability to follow the procedures of the study, e.g. due to language problems, psychological disorders, dementia, etc.
- Unable or not willing to give informed consent
Interested in this trial?
Get notified about updates and connect with the research team.
Interventions
Observational study with no intervention - Monitoring
Locations(4)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT06044584