Multimodal neonatal procedural and postoperative pain assessment dataset.
Multimodal neonatal procedural and postoperative pain assessment dataset.
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DOI：
10.1016/j.dib.2021.106796
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发表时间：
2021-04
期刊：
影响因子：
1.2
通讯作者：
Sun Y
中科院分区：
文献类型：
--
作者：
Salekin MS;Zamzmi G;Hausmann J;Goldgof D;Kasturi R;Kneusel M;Ashmeade T;Ho T;Sun Y
本文介绍了第一个多模式新生儿疼痛数据集，包含视觉，声音和生理反应后，临床上需要的程序和术后疼痛的程序。它是从58名新生儿（27-41胎龄）在新生儿重症监护病房住院期间收集的。使用廉价的RGB相机记录视觉和声音数据，而使用便携式床边监护仪记录生理反应（生命体征和皮质活动）。记录的行为和生理反应由专家护士使用两个验证的疼痛量表进行评分，以获得地面真实标签。除了行为和生理反应外，我们的数据集还包含临床信息，如新生儿的年龄，性别，体重，药物和非药物干预以及先前的疼痛程序。所呈现的多模态数据集可用于开发人工智能系统，该系统基于对行为和生理反应的分析来监测、评估和预测新生儿疼痛。它还可以用于提高对新生儿疼痛的理解，从而促进有效的疼痛预防和治疗的发展。
This paper presents the first multimodal neonatal pain dataset that contains visual, vocal, and physiological responses following clinically required procedural and postoperative painful procedures. It was collected from 58 neonates (27-41 gestational age) during their hospitalization in the neonatal intensive care unit. The visual and vocal data were recorded using an inexpensive RGB camera while the physiological responses (vital signs and cortical activity) were recorded using portable bedside monitors. The recorded behavioral and physiological responses were scored by expert nurses using two validated pain scales to obtain the ground truth labels. In addition to behavioral and physiological responses, our dataset contains clinical information such as the neonate’s age, gender, weight, pharmacological and non-pharmacological interventions, and previous painful procedures. The presented multimodal dataset can be used to develop artificial intelligence systems that monitor, assess, and predict neonatal pain based on the analysis of behavioral and physiological responses. It can also be used to advance the understanding of neonatal pain, which can lead to the development of effective pain prevention and treatment.
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