EEG for pain quantification

Health care, Life sciences

UNMET NEED

Pain is one of the most common symptoms, seen in many diseases, that brings patients to a physician. Also, chronic pain is now recognized as a disease in its own right by the WHO (ICD-11). As this could suggest, pain is measured as an outcome in many clinical trials. The most recognized pain intensity assessment method is the 0-to-10 verbal numerical rating scale (NRS). Unfortunately, one must rely on the very personal experience, memory and conscious input of the individual living with pain to confirm the variation in pain level. Some training modules have been developed to get better evaluations from the patients. Still, clinical trials based on the 0-to-10 scale can have volatile results that are difficult to reproduce in larger studies.

TECHNOLOGY OVERVIEW

We propose a novel method based on the analysis of electroencephalography (EEG) signals to objectively assess pain level. The invention, the Pain Identification and Quantification (PIQ), is performed into three steps:
1) Transformation of the original real-valued EEG signal into a complex-valued analytical signal
2) extraction of the variations of the instantaneous amplitude of the signal or the amplitude of the upper envelope
3) final calculation based on the coefficient of variation (CV) of the upper envelope

Combined with classical rating scale, PIQ has the potential to become the new reference in pain assessment for consistent results and reproducible clinical trials.

A prototype is fully fonctionnal. The system has been successfully validated in human. It precisely and objectively measures pain levels variation from induced painful stimulus, and its performance with chronic pain is under investigation. This pain assessment method could also be adapted to animal models, and significantly accelerate drug discovery at the pre-clinical and clinical stages, leading to better pain management in a near future.

 

COMPETITIVE ADVANTAGES

  • Objective pain measurement
  • Reproducible
  • Precise
  • Non-invasive

 

BUSINESS OPPORTUNITY

  • Technology available for in-licensing
  • Seeking for industrial partner for co-development
  • Eligibility to government financing for industry/academic maturation program

 

MARKET APPLICATIONS

  • Drug development (Clinical trials
  • Patient monitoring

 

IP PROTECTION

  • Patent Pending (Provisional)

CONTACTS

Suzy Ngomo

PRINCIPAL INVESTIGATOR
Depart. of Health Sciences
Université du Québec à Chicoutimi

Sébastien Bergeron

CONTACT PERSON
Project Director, Business Development
Axelys
sebastien.bergeron@axelys.ca