Actively Recruiting

Age: 18Years - 80Years
All Genders
Healthy Volunteers
ID06044584

Unveiling Physiological and Psychosocial Pain Components with an AI-Based Telemonitoring Tool (pAIn-sense) for Nociceptive and Neuropathic Pain

Led by ETH Zurich · Updated on 2025-01-20

150

Participants Needed

4

Research Sites

274 weeks

Total Duration

On this page

Sponsors

E

ETH Zurich

Lead Sponsor

B

Balgrist University Hospital

Collaborating Sponsor

AI-Summary

What this Trial Is About

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

Official Title

Unveiling Physiological and Psychosocial Pain Components with an Artificial Intelligence Based Telemonitoring Tool

Who Can Participate

Age: 18Years - 80Years
All Genders
Healthy Volunteers

Eligibility Criteria

Eligible

You may qualify if you...

  • Ongoing nociceptive pain after an injury or neuropathic pain (acute or chronic)
  • Familiar with using electronic devices
  • Age between 18 and 80 years
Not Eligible

You will not qualify if you...

  • Inability to follow the study procedures, such as due to language problems, psychological disorders, or dementia
  • Unable or unwilling to give informed consent

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Trial Site Locations

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

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Research Team

A

Andrea Cimolato, PhD

N

Noemi Gozzi

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

2

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Published Research Related To This Trial

Pain Acceptance Decouples the Momentary Associations Between Pain, Pain Interference, and Physical Activity in the Daily Lives of People With Chronic Pain and Spinal Cord Injury.

Anna L Kratz, Dawn M Ehde, Charles H Bombardier...

https://pubmed.ncbi.nlm.nih.gov/27919770

Discovery and validation of biomarkers to aid the development of safe and effective pain therapeutics: challenges and opportunities.

Karen D Davis, Nima Aghaeepour, Andrew H Ahn...

https://pubmed.ncbi.nlm.nih.gov/32541893