Shida-Tokeshi Joanne, Lane Christianne J, Trujillo-Priego Ivan A, Deng Weiyang, Vanderbilt Douglas L, Loeb Gerald E, Smith Beth A
Infant Neuromotor Control Laboratory, Division of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, California, 90089-9006, USA.
Department of Preventative Medicine, Division of Biostatistics, Keck School of Medicine, University of Southern California, Los Angeles, California, 90089-9234, USA.
Gates Open Res. 2018 Jun 18;2:17. doi: 10.12688/gatesopenres.12813.2. eCollection 2018.
Advances in wearable sensor technology now allow us to quantify the number, type and kinematic characteristics of bouts of infant arm movement made across a full day in the natural environment. Our aim here was to determine whether the amount and kinematic characteristics of arm movements made across the day in the natural environment were related to developmental status in infants with typical development as they learned to reach for objects using their arms. We used wearable sensors to measure arm movement across days and months as infants developed arm reaching skills. In total, 22 infants with typical development participated, aged between 38 and 203 days. Of the participants, 2 infants were measured once and the other 20 infants were measured once per month for 3 to 6 visits. The Bayley Scales of Infant Development was used to measure developmental level. Our main findings were: 1) infant arm movement characteristics as measured by full-day wearable sensor data were related to Bayley motor, cognitive and language scores, indicating a relationship between daily movement characteristics and developmental status; 2) infants who moved more had larger increases in language and cognitive scores across visits; and 3) larger changes in movement characteristics across visits were related to higher motor scores. This was a preliminary, exploratory, small study of the potential importance of infant arm movement characteristics as measured by full-day wearable sensor data. Our results support full-day arm movement activity as an area of interest for future study as a biomarker of neurodevelopmental status and as a target for early intervention.
可穿戴传感器技术的进步如今使我们能够量化婴儿在自然环境中一整天的手臂运动次数、类型和运动学特征。我们在此的目的是确定在自然环境中一整天的手臂运动量和运动学特征是否与发育正常的婴儿在学习用手臂够取物体时的发育状况相关。随着婴儿发展出伸手够物的技能,我们使用可穿戴传感器在数天和数月的时间里测量他们的手臂运动。共有22名发育正常的婴儿参与,年龄在38至203天之间。在这些参与者中,2名婴儿测量了一次,另外20名婴儿每月测量一次,共测量3至6次。使用贝利婴儿发育量表来测量发育水平。我们的主要发现是:1)通过全天可穿戴传感器数据测量的婴儿手臂运动特征与贝利运动、认知和语言得分相关,表明日常运动特征与发育状况之间存在关联;2)活动较多的婴儿在各次测量中语言和认知得分的增幅更大;3)各次测量中运动特征的较大变化与更高的运动得分相关。这是一项关于通过全天可穿戴传感器数据测量的婴儿手臂运动特征潜在重要性的初步探索性小型研究。我们的结果支持将全天手臂运动活动作为未来研究的一个感兴趣领域,作为神经发育状况的生物标志物以及早期干预的目标。