Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA; Division of Developmental Neuroscience, New York State Psychiatric Institute, New York, NY, USA.
Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA; Division of Developmental Neuroscience, New York State Psychiatric Institute, New York, NY, USA; Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA.
Dev Cogn Neurosci. 2024 Oct;69:101446. doi: 10.1016/j.dcn.2024.101446. Epub 2024 Sep 13.
The HEALthy Brain and Child Development (HBCD) Study, a multi-site prospective longitudinal cohort study, will examine human brain, cognitive, behavioral, social, and emotional development beginning prenatally and planned through early childhood. Wearable and remote sensing technologies have advanced data collection outside of laboratory settings to enable exploring, in more detail, the associations of early experiences with brain development and social and health outcomes. In the HBCD Study, the Novel Technology/Wearable Sensors Working Group (WG-NTW) identified two primary data types to be collected: infant activity (by measuring leg movements) and sleep (by measuring heart rate and leg movements). These wearable technologies allow for remote collection in the natural environment. This paper illustrates the collection of such data via wearable technologies and describes the decision-making framework, which led to the currently deployed study design, data collection protocol, and derivatives, which will be made publicly available. Moreover, considerations regarding actual and potential challenges to adoption and use, data management, privacy, and participant burden were examined. Lastly, the present limitations in the field of wearable sensor data collection and analysis will be discussed in terms of extant validation studies, the difficulties in comparing performance across different devices, and the impact of evolving hardware/software/firmware.
HEALthy 大脑与儿童发展（HBCD）研究是一项多地点前瞻性纵向队列研究，将从产前开始并计划持续到儿童早期，研究人类大脑、认知、行为、社会和情感发展。可穿戴设备和远程传感器技术已经在实验室环境之外推进了数据收集，从而能够更详细地探索早期经历与大脑发育以及社会和健康结果之间的关联。在 HBCD 研究中，新技术/可穿戴传感器工作组（WG-NTW）确定了两种主要的数据类型：婴儿活动（通过测量腿部运动）和睡眠（通过测量心率和腿部运动）。这些可穿戴技术允许在自然环境中进行远程收集。本文展示了通过可穿戴技术收集这些数据的过程，并描述了决策框架，该框架促成了当前部署的研究设计、数据收集协议和衍生产品，这些产品将公开提供。此外，还研究了采用和使用、数据管理、隐私和参与者负担方面的实际和潜在挑战。最后，将根据现有验证研究讨论可穿戴传感器数据收集和分析领域的当前局限性，以及不同设备之间性能比较的困难，以及硬件/软件/固件不断发展的影响。
