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一种用于新生儿运动连续和非侵入性监测的弹道学方法。

A Ballistographic Approach for Continuous and Non-Obtrusive Monitoring of Movement in Neonates.

作者信息

Joshi Rohan, Bierling Bart L, Long Xi, Weijers Janna, Feijs Loe, Van Pul Carola, Andriessen Peter

机构信息

Department of Industrial DesignEindhoven University of Technology5612AZEindhovenThe Netherlands.

Department of Clinical PhysicsMáxima Medical Center5504DBVeldhovenThe Netherlands.

出版信息

IEEE J Transl Eng Health Med. 2018 Oct 12;6:2700809. doi: 10.1109/JTEHM.2018.2875703. eCollection 2018.

Abstract

Continuously monitoring body movement in preterm infants can have important clinical applications since changes in movement-patterns can be a significant marker for clinical deteriorations including the onset of sepsis, seizures, and apneas. This paper proposes a system and method to monitor body movement of preterm infants in a clinical environment using ballistography. The ballistographic signal (BSG) is acquired using a thin and a film-like sensor that is placed underneath an infant. Manual annotations based on video-recordings served as a reference standard for identifying movement. We investigated the performance of multiple features, constructed from the BSG waveform, to discriminate movement from no movement based on data acquired from 10 preterm infants. Since routine cardiorespiratory monitoring is prone to movement artifacts, we also compared the application of these features on the simultaneously acquired cardiorespiratory waveforms, i.e., the electrocardiogram, the chest impedance, and the photoplethysmogram. The BSG-based-features consistently outperformed those based on the routinely acquired cardiorespiratory waveforms. The best performing BSG-based feature-the signal instability index-had a mean (standard deviation) effect size of 0.90 (0.06), as measured by the area under the receiver operating curve. The proposed system for monitoring body movement is robust to noise, non-obtrusive, and has high performance in clinical settings.

摘要

持续监测早产儿的身体运动具有重要的临床应用价值,因为运动模式的变化可能是临床恶化的重要指标,包括败血症、癫痫发作和呼吸暂停的发作。本文提出了一种在临床环境中使用冲击描记法监测早产儿身体运动的系统和方法。使用放置在婴儿下方的薄型薄膜状传感器获取冲击描记信号(BSG)。基于视频记录的人工注释用作识别运动的参考标准。我们研究了从BSG波形构建的多个特征的性能,以根据从10名早产儿获取的数据区分运动和无运动。由于常规心肺监测容易出现运动伪影,我们还比较了这些特征在同时获取的心肺波形(即心电图、胸部阻抗和光电容积脉搏波图)上的应用。基于BSG的特征始终优于基于常规获取的心肺波形的特征。表现最佳的基于BSG的特征——信号不稳定性指数——通过接收器操作曲线下的面积测量,平均(标准差)效应大小为0.90(0.06)。所提出的身体运动监测系统对噪声具有鲁棒性,不干扰患者,并且在临床环境中具有高性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84f3/6204923/7352a991366e/joshi1abcdefg-2875703.jpg

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