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Development of a Medical Device Utilizing an EEG-Based Algorithm for the Objective Quantification of Pain

NCT03998007 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 50

Last updated 2019-06-27

No results posted yet for this study

Summary

Obtained 19 lead EEG data from 50 chronic pain patients along with their clinical history and self-reported pain scored. Machine learning was used to analyze the EEG data and derive a chronic pain biomarker.

Conditions

Interventions

DEVICE

IRIS System

A QEEG based pain biomarker that scales with the patient reported NRS

Sponsors & Collaborators

  • PainQx, Inc

    lead INDUSTRY

  • National Institute on Drug Abuse (NIDA)

    collaborator NIH

Principal Investigators

  • William Koppes · PainQx, Inc

Eligibility

Min Age
18 Years
Max Age
85 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2018-10-02
Primary Completion
2019-01-22
Completion
2019-01-22

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03998007 on ClinicalTrials.gov