The PainQx platform is an AI-powered cloud-based solution that operates on electroencephalographic (EEG) data collected from a patient, processing the data through proprietary algorithms and providing a classification of the patient’s pain state to the clinician at the point of care.
Provides an initial classification of a patient’s pain state and supports patient follow-up to help assess treatment efficacy
Supports chronic pain assessment in populations that cannot accurately articulate or express pain, such as patients with Alzhiemer’s
Provides a solution to a significant unmet clinical need
Experienced technical team with world class expertise in QEEG and machine learning
The PainQx ALGOS System is a machine learning based medical device that can objectively assess the intensity of pain in chronic pain patients. Using a cascade of binary classifiers, the PainQx platform currently classifies subjects into pain levels of No Pain, Mild/Moderate Pain, or Severe Pain that correlate with the patient’s self-reported NRS Pain Score.
1. Artifacting and Epoch Selection
PainQx utilizes artifact identification routines to remove noise from the EEG signal. Common artifacts such as EMG, eye movement, and external interference are detected and the epochs (fixed length segments of EEG) containing them are discarded. The remaining epochs are processed to select the set of epochs most representative of steady state brain activity.
2. Feature Extraction
From the set of “clean”, selected epochs, PainQx’s feature extraction algorithms generate thousands of unique “features” of brain activity, also known as Quantitative EEG (qEEG) features. PainQx has developed a variety of proprietary features that, in conjunction with classic qEEG features such as absolute and relative power, create the PainQx feature set.
The qEEG features derived for a particular patient are feed into the classification algorithm, which determines the patient’s pain classification. The classification algorithm to be deployed in the commercial ALGOS system will be a fixed set of mathematical and logical operations established over the course of ALGOS development. Iterations to the algorithm over time will be facilitated through a series of 510k regulatory submissions.