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婴儿发育迟缓的早期筛查工具:使用红外超宽带雷达对运动不对称性进行量化评估。

Early screening tool for developmental delay in infancy: Quantified assessment of movement asymmetry using IR-UWB radar.

作者信息

Na Jae Yoon, Lee Won Hyuk, Lim Young-Hyo, Cho Seok Hyun, Cho Sung Ho, Park Hyun-Kyung

机构信息

Department of Pediatrics, Hanyang University College of Medicine, Seoul, South Korea.

Department of Electronics and Computer Engineering, Hanyang University, Seoul, South Korea.

出版信息

Front Pediatr. 2022 Oct 14;10:731534. doi: 10.3389/fped.2022.731534. eCollection 2022.

DOI:10.3389/fped.2022.731534
PMID:36313883
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9614076/
Abstract

In the untact COVID-19 era, the feasibility of a noncontact, impulse-radio ultrawideband (IR-UWB) radar sensor has important medical implications. Premature birth is a major risk factor for brain injury and developmental delay; therefore, early intervention is crucial for potentially achieving better developmental outcomes. Early detection and screening tests in infancy are limited to the quantification of differences between normal and spastic movements. This study investigated the quantified asymmetry in the general movements of an infant with hydrocephalus and proposes IR-UWB radar as a novel, early screening tool for developmental delay. To support this state-of-the-art technology, data from actigraphy and video camcorder recordings were adopted simultaneously to compare relevant time series as the infant grew. The data from the three different methods were highly concordant; specifically, the values comparing radar and actigraphy, which served as the reference for measuring movements, showed excellent agreement, with values of 0.66 on the left and 0.56 on the right. The total amount of movement measured by radar over time increased overall; movements were almost dominant on the left at first (75.2% of total movements), but following shunt surgery, the frequency of movement on both sides was similar (54.8% of total movements). As the hydrocephalus improved, the lateralization of movement on radar began to coincide with the clinical features. These results support the important complementary role of this radar system in predicting motor disorders very early in life.

摘要

在非接触式新冠疫情时代,非接触式脉冲无线电超宽带(IR-UWB)雷达传感器的可行性具有重要的医学意义。早产是脑损伤和发育迟缓的主要危险因素;因此,早期干预对于可能实现更好的发育结果至关重要。婴儿期的早期检测和筛查测试仅限于量化正常运动和痉挛性运动之间的差异。本研究调查了脑积水婴儿一般运动中的量化不对称性,并提出将IR-UWB雷达作为一种用于发育迟缓的新型早期筛查工具。为了支持这项先进技术,同时采用了来自活动记录仪和视频摄像机记录的数据,以比较婴儿成长过程中的相关时间序列。来自三种不同方法的数据高度一致;具体而言,比较雷达和活动记录仪的数据值(作为测量运动的参考)显示出极佳的一致性,左侧值为0.66,右侧值为0.56。随着时间的推移,雷达测量的总运动量总体上有所增加;起初运动几乎主要集中在左侧(占总运动量的75.2%),但在分流手术后,两侧的运动频率相似(占总运动量的54.8%)。随着脑积水情况的改善,雷达上运动的偏侧化开始与临床特征相符。这些结果支持了该雷达系统在生命早期预测运动障碍方面的重要补充作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e94/9614076/76737b429c08/fped-10-731534-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e94/9614076/3ba190219855/fped-10-731534-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e94/9614076/e22c111da5ce/fped-10-731534-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e94/9614076/8df89dd3e69f/fped-10-731534-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e94/9614076/76737b429c08/fped-10-731534-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e94/9614076/3ba190219855/fped-10-731534-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e94/9614076/e22c111da5ce/fped-10-731534-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e94/9614076/8df89dd3e69f/fped-10-731534-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e94/9614076/76737b429c08/fped-10-731534-g004.jpg

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Quantified assessment of hyperactivity in ADHD youth using IR-UWB radar.使用 IR-UWB 雷达对 ADHD 青少年的多动症状进行量化评估。
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Feasibility of non-contact cardiorespiratory monitoring using impulse-radio ultra-wideband radar in the neonatal intensive care unit.
使用冲激无线电超宽带雷达在新生儿重症监护病房进行非接触式心肺监测的可行性。
PLoS One. 2020 Dec 28;15(12):e0243939. doi: 10.1371/journal.pone.0243939. eCollection 2020.
4
Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors.利用可穿戴运动传感器对婴儿进行自动姿势和运动跟踪。
Sci Rep. 2020 Jan 13;10(1):169. doi: 10.1038/s41598-019-56862-5.
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Machine Learning of Infant Spontaneous Movements for the Early Prediction of Cerebral Palsy: A Multi-Site Cohort Study.用于早期预测脑瘫的婴儿自发运动的机器学习:一项多中心队列研究。
J Clin Med. 2019 Dec 18;9(1):5. doi: 10.3390/jcm9010005.
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