Department of Physical Therapy & Biomechanics and Movement Science Program, University of Delaware (UD), 540 S College Ave, Newark, DE, 19713, USA.
Department of Physical Therapy & Biomechanics and Movement Science Program, University of Delaware (UD), 540 S College Ave, Newark, DE, 19713, USA.
Infant Behav Dev. 2021 Feb;62:101530. doi: 10.1016/j.infbeh.2021.101530. Epub 2021 Feb 4.
The aim of this cross-sectional study was to evaluate the feasibility, construct validity, and reliability of a smart garment to characterize parent-child positioning practices in infants less than six months old. The smart garment (Get Around Garment, GG) was developed through feedback from seven infants and their parents. The final system was then tested with sixteen infants (M = 3.1 ± 1.1 months) assessed in their homes during one visit that consisted of a: 1) Structured Play Assessment (2.5 min): infant was placed in each of five positions (prone, supine, reclined/inclined, and upright) for 30 s, 2) Free Play Assessment (40-60 min): parents were asked to engage in typical daily activities, and 3) second Structured Play Assessment. Infants' body position was both coded from video and identified from sensor data using a custom program. Feasibility was measured by data from a Daily Wearing Log and Garment Perception Questionnaire. Validity was evaluated by comparing the coding and sensor data. Reliability was measured by comparing the sensor data between the two Structured Play Assessments. The GG was considered feasible for use. The smart wearable system showed high levels of accuracy for classifying body position secondby- second and when comparing cumulative duration across time. Reliability of the smart garment was excellent. Young infants spent more time in supine and supported upright positions relative to prone, reclined, or inclined positions. The results suggest that accelerometers can be integrated into garments in a manner that is feasible to provide accurate and consistent data about positioning practices of parents with young infants. Monitoring early positioning practices is important because these practices impact future motor and cognitive developmental trajectories.
本横断面研究旨在评估智能服装在评估小于 6 个月大婴儿的亲代-子代体位实践中的可行性、结构有效性和可靠性。智能服装(Get Around 服装,GG)是通过来自 7 名婴儿及其父母的反馈开发的。最终的系统随后在 16 名婴儿(M = 3.1 ± 1.1 个月)中进行了测试,这些婴儿在一次家庭访问中接受了评估,该访问包括:1)结构化游戏评估(2.5 分钟):将婴儿置于五个位置(俯卧、仰卧、斜倚/倾斜和直立)中的每个位置 30 秒,2)自由游戏评估(40-60 分钟):要求父母进行典型的日常活动,以及 3)第二次结构化游戏评估。婴儿的身体位置通过视频和使用自定义程序从传感器数据中进行编码。通过日常佩戴记录和服装感知问卷来衡量可行性。有效性通过比较编码和传感器数据进行评估。通过比较两个结构化游戏评估之间的传感器数据来衡量可靠性。GG 被认为是可行的。智能可穿戴系统在分类身体位置方面表现出了高度的准确性,并且在比较随时间累积的持续时间方面也表现出了高度的准确性。智能服装的可靠性非常好。幼儿在仰卧和支撑直立位置上的时间相对俯卧、斜倚或倾斜位置要多。结果表明,加速度计可以以一种可行的方式集成到服装中,从而提供关于年轻婴儿父母的定位实践的准确和一致的数据。监测早期的定位实践非常重要,因为这些实践会影响未来的运动和认知发展轨迹。