Status:
COMPLETED
The Accuracy and Efficacy of AI-driven tVNS Algorithm
Lead Sponsor:
Queen Mary University of London
Conditions:
Healthy Volunteer
Eligibility:
All Genders
18-65 years
Phase:
NA
Brief Summary
Pain, including somatic and visceral pain, is a common symptom. Persistent pain can lead to repetitive visits to hospitals and can limit patients' daily activities, which can result in tremendous medi...
Detailed Description
Participants will be asked to attend our institution to complete an informed written consent sheet. They are asked to refrain from smoking for 12 hours and drinking alcohol and coffee as well as using...
Eligibility Criteria
Inclusion
- Healthy participants (defined as those without pre-existing medical comorbidity that makes them take medications or go to hospitals regularly), aged 18-65, from staff, students and the local population of Queen Mary, University of London
Exclusion
- Participants unable to provide informed consent
- Participants with any systemic disease or medications that may influence the autonomic nervous system (e.g. beta-agonists or Parkinson's disease)
- Pregnant or breastfeeding females
- History of drug or alcohol abuse
- Participants who have cardiovascular condition problems or epilepsy
- Participants with cochlear implants
- Participants who are using pain killers
- Not meeting any of the inclusion criteria above
Key Trial Info
Start Date :
April 1 2024
Trial Type :
INTERVENTIONAL
Allocation :
ACTUAL
End Date :
November 30 2024
Estimated Enrollment :
12 Patients enrolled
Trial Details
Trial ID
NCT05215756
Start Date
April 1 2024
End Date
November 30 2024
Last Update
January 7 2025
Active Locations (1)
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1
Queen Mary University of London
London, United Kingdom, E1 2AJ