University of South Florida

Terri Ashmeade

Dmitry B Goldgof

Yu Sun

Rangachar Kasturi

Ghadh A Alzamzmi

Rahul Paul

Md Sirajus Salekin

Chih-Yun Pai

Maureen Edith Groer

A Neonatal CNN (N-CNN) is provided for detecting neonatal pain emotion based upon facial recognition. A cascaded N-CNN is trained using a Neonatal Pain Assessment Database (NPAD) to automatically identify a neonatal patient experience pain in real-time. These results show that the automatic recognition of neonatal pain provided by the embodiments of the present invention is a viable and more efficient alternative to the current standard of pain assessment.

Neonatal pain identification from neonatal facial expressions

A system and method of automatically assessing pediatric and neonatal pain using facial expressions along with crying sounds, body movement, and vital signs change to improve the diagnosis and treatment of pain in the pediatric patient population.

Comprehensive and context-sensitive neonatal pain assessment system and methods using multiple modalities

A system and method for measuring an infant's pain intensity is presented. The method for assessing an infant's pain intensity based on facial expressions is comprised of three main stages: detection of an infant's face in video sequence followed by preprocessing operations including face alignment; expression segmentation; and expression recognition or classification. Also presented is a multimodal system for assessing an infant's pain intensity using the following classifiers: facial expression classifier; vital sign classifier; crying recognition classifier; body motion classifier and state of arousal classifier. Each classifier generates an individual score, all of which are normalized and weighed to generate a total pain score that indicates pain intensity.

Machine-based infants pain assessment tool

Donor milk has become a standard of care for feeding preterm infants, particularly those with gestational ages of 34 weeks or less, whose mothers are not lactating or not producing sufficient milk quantities. However, prior to distribution, donor milk is required to undergo pasteurization, typically using the Holder method, which is believed to destroy immune proteins in the milk and denature many other proteins. Donor milk has been found to contain concentrations of chemokines, cytokines, and growth factors, evidencing the value of donor milk over formula. In light of the findings, donor milk is supplemented with chemokines, cytokines, and growth factors that are found to be lower in the donor milk as compared to mother's own milk.

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Tampa, FL, United States of America

Terri Ashmeade