The Accuracy and Efficacy of AI-driven tVNS Algorithm
Study Details
Study Description
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 medical cost and lower quality of life. For example, the prevalence rates of 25% are reported only for abdominal pain among adults (3), and it costs $10.2 billion each year in the US.
Pain is usually treated according to the World Health Organisation (WHO) 3 steps analgesic ladder. Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) are mainly used in step 1, which can cause serious side effects such as GI bleeding, renal failure and cardiovascular disease. In step 2 & 3, opioids are used and are also associated with serious side effects (e.g., psychological addiction, dizziness, nausea, vomiting, constipation, physical dependence, tolerance, and respiratory depression). Therefore, a new effective non-pharmacological treatment is beneficial for patients.
One such method is transcutaneous vagal nerve stimulation (tVNS). The auricular or cervical branch of the vagal nerve runs just under the skin and can be electrically stimulated through the skin by tVNS devices, which have shown the analgesic effects on various pain conditions.
The autonomic activity, including parasympathetic tone, can be estimated from the beat to beat intervals in the electrocardiogram, which is called heart rate variability (HRV). To date, we have shown that visceral and somatic pain triggered the autonomic response with the change in HRV, and HRV could be a biomarker of pain.
We hypothesised that the development of pain, including somatic pain and visceral pain, could be predicted by analysing heart rate pattern by artificial intelligence (AI). In this proof of concept study, we evaluate the detection rate of pain by the AI analysis of heart rate pattern. We also evaluate the effect of tVNS on the pain threshold.
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
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N/A |
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 recreational drugs for 48 hours prior to the study visit. After filling out a consent form, they will be asked to complete questionnaires to assess their psychological/personality status. Baseline heart rate will be measured for 10 minutes using a heart recording device. After the baseline measurement, the cold pressor test starts. Participants will be asked to immerse their hand into an ice water container. Then, the cold pain threshold and cold pain tolerance will be measured. During the cold pressor test, we will keep recording heart rate. We'll see if we can detect a change of heart rate variability (HRV) in response to pain.
After 10 minutes break, the cold pressor test will be performed again. This time, tVNS is administered for 2 minutes during the cold pressor test. We will evaluate the changes in cold pain threshold and cold pain tolerance along the course.
Finally, after 10 minutes interval, participants will be asked to exercise in the room (static jogging for 1 minute) to increase their heart rate. Then, the cold pressor test will be performed again. We will evaluate if we can detect a change of HRV in the circumstance where the heart rate increases. tVNS will also be administered for 2 minutes.
Study Design
Arms and Interventions
| Arm | Intervention/Treatment |
|---|---|
| Experimental: Healthy Subjects Cold pressor test will be performed 3 times. transcutaneous Vagal nerve stimulation will be administered in the 2nd and 3rd cold pressor tests. |
Device: transcutaneous vagal nerve stimulation
The tVNS device will be attached to the left concha of the ear to stimulate the auricular branch of the vagal nerve. Each stimulation will last for 2 minutes.
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Outcome Measures
Primary Outcome Measures
- The detection rate of HRV change in response to pain [1 hour]
The ratio of successful detection of HRV changes in response to pain (cold pressor test) among 20 subjects
- The detection rate of HRV change in response to pain after exercising [1 hour]
The ratio of successful detection of HRV changes in response to pain (cold pressor test) among 20 subjects with increased heart rate by exercising
Secondary Outcome Measures
- Changes in the threshold and tolerance of pain before and after tVNS [1 hour]
Cold pain threshold is defined as the time between the start of immersing and the first report of pain. Cold pain tolerance is defined as the time between the first report of pain and the removal of the hand from the water. We will evaluate changes in the threshold and tolerance before and after tVNS.
- Psychological questionnaire scores [1 hour]
State and Trait Anxiety Inventory state, trait (Maximum and minimum values are 80 and 20, respectively. The higher value indicates more nervous status) is used.
- Personality questionnaire scores [1 hour]
Big five inventory questionnaire (44 items) is used. This is a self-report inventory designed to measure the personality type.
- Anxiety and depression questionnaire scores [1 hour]
Hospital Anxiety and Depression Scale is used. The maximun and minimum values are 21 and 0, respectively (0-7 = Normal, 8-10 = Borderline,11-21 = Abnormal).
Eligibility Criteria
Criteria
Inclusion Criteria:
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 Criteria:
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Participants unable to provide informed consent
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Participants with any systemic disease or medications that may influence the autonomic nervous system (e.g. beta-agonists or Parkinson's disease)
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Pregnant or breastfeeding females
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History of drug or alcohol abuse
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Participants who have cardiovascular condition problems or epilepsy
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Participants with cochlear implants
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Participants who are using pain killers
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Not meeting any of the inclusion criteria above
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | Queen Mary University of London | London | United Kingdom | E1 2AJ |
Sponsors and Collaborators
- Queen Mary University of London
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- QMERC2020/56