Migliorelli Lucia, Moccia Sara, Pietrini Rocco, Carnielli Virgilio Paolo, Frontoni Emanuele
Department of Information Engineering, Università Politecnica delle Marche, Ancona (Italy).
Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa (Italy).
Data Brief. 2020 Sep 26;33:106329. doi: 10.1016/j.dib.2020.106329. eCollection 2020 Dec.
The database here described contains data relevant to preterm infants' movement acquired in neonatal intensive care units (NICUs). The data consists of 16 depth videos recorded during the actual clinical practice. Each video consists of 1000 frames (i.e., 100s). The dataset was acquired at the NICU of the Salesi Hospital, Ancona (Italy). Each frame was annotated with the limb-joint location. Twelve joints were annotated, i.e., left and right shoul- der, elbow, wrist, hip, knee and ankle. The database is freely accessible at http://doi.org/10.5281/zenodo.3891404. This dataset represents a unique resource for artificial intelligence researchers that want to develop algorithms to provide healthcare professionals working in NICUs with decision support. Hence, the babyPose dataset is the first annotated dataset of depth images relevant to preterm infants' movement analysis.
此处描述的数据库包含在新生儿重症监护病房（NICU）中获取的与早产儿运动相关的数据。这些数据由在实际临床实践中录制的16段深度视频组成。每个视频包含1000帧（即100秒）。该数据集是在意大利安科纳的萨莱西医院的新生儿重症监护病房获取的。每一帧都标注了肢体关节的位置。标注了12个关节，即左右肩、肘、腕、髋、膝和脚踝。该数据库可在http://doi.org/10.5281/zenodo.3891404上免费获取。对于想要开发算法为在新生儿重症监护病房工作的医护人员提供决策支持的人工智能研究人员来说，这个数据集是一个独特的资源。因此，babyPose数据集是第一个与早产儿运动分析相关的深度图像标注数据集。
