Competitive Advantages
- Differentiates between pain and non-pain stimuli
- Assesses pain in a real-world setting
- Might help doctors know the criticality of the injury based on the accurate pain measurement
- Will help detect the pain level of babies and unconscious patients
Summary
Automated pain assessment is an essential component in clinical settings to ensure prompt intervention and appropriate treatment. Depending on the context, relying on verbal methods, such as pain scales and questionnaires, for pain assessment may not be objective, reliable, actionable, and scalable. The present invention provides a computer-implemented method for identifying a pain level of a patient of interest. The system includes a video image capture device to capture image data of a patient of interest, one or more sensors to capture bio-potential data of the patient of interest, and processing circuitry configured as a neural network that implements a neural network based model to receive and process the image data and the bio-potential data from the patient of interest to determine a pain level of the patient of interest. This invention provides an improved system and method for the assessment of pain experienced by a patient in a real-world setting.
The image illustrates an exemplary setup for image and bio-potential data collection of a patient of interest.
Desired Partnerships
- License
- Sponsored Research
- Co-Development