Multimodal Assessment of Neonatal Pain Using Computer Vision

Short Description

This pilot dataset (USF-MNPAD-I) is a part of a neonatal pain assessment project, which aims to develop new algorithms and techniques for the automatic monitoring of neonatal pain. We are currently involved in an ongoing effort to collect a large multimodal pain dataset from newborns and premature neonates. USF-MNPAD-I dataset contains recorded subjects in the Neonatal Intensive Care Unit (NICU) at Tampa General Hospital. The neonates were recorded during baseline and while undergoing procedural painful procedures (e.g., heel lancing and immunization). In addition to the recorded raw videos, this dataset contains vital signs data as well as ground truth labels documented by two trained nurses.

Release of Dataset

To advance the state-of-the-art in neonatal pain assessment, portion of the dataset will be made available to researchers on a case-by-case basis. All requests for USF-MNPAD-I must be submitted in writing and sent to the Principal Investigators of this project. The requestor must sign this document and agree to observe the restrictions listed below. In addition to other possible remedies, failure to observe these restrictions may result in access being denied for any other portion of the database. Current installments of the database may be made available to researchers via a protected internet site or on CD. There will be no charge for imagery made available and downloaded via the Internet.
* Please note that initially shareable subjects from the USF-MNPAD-I will be shared. A larger dataset, will be made available, as per request, for research use.



Any manuscript developed completely or partially using USF-MNPAD-I dataset must include the following citations:


To get the datasets, you need to contact the following person with a full description of why you need it.

Md Sirajus Salekin
Department of CSE, University of South Florida, United States

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