Competitive Advantages
- Monitor infants and detect signs that are associated with pain (e.g., pain expression, crying, body motion and vital signs) when the infants are left unattended
- Generate an objective total pain score based on several signs of pain and report this score to a nurse
- This system can provide a consistent and an objective pain-scaling tool to be used in the NICU at hospitals, in houses as home-monitoring to check on an infant's condition at all hours, and in developing countries where there is a lack of medical workers/supplies
Summary
The long-standing, unfulfilled need for a comprehensive, accurate, objective, and consistent pain assessment tool for individuals who are incapable of dearly communicating said pain is now met by a new, useful, and nonobvious invention. Artificial Intelligence (AI)-based methods allow for automatic assessment of pain intensity based on continuous monitoring and processing of subtle changes in sensory signals, including facial expression, body movements, and crying frequency. Currently, there is a large and growing need for expanding current AI-based approaches to the assessment of postoperative pain in the neonatal intensive care unit (NICU). In contrast to acute procedural pain in the clinic, the NICU has neonates emerging from postoperative sedation, usually intubated, and with variable energy reserves for manifesting forceful pain responses.
System design of the proposed approach for postoperative pain assessment
Desired Partnerships
- License
- Sponsored Research
- Co-Development