Morgan Catherine, Tonkin Emma L, Craddock Ian, Whone Alan L
Translational Health Sciences, University of Bristol Medical School, Bristol, United Kingdom.
Movement Disorders Group, Bristol Brain Centre, North Bristol NHS Trust, Bristol, United Kingdom.
JMIR Hum Factors. 2022 Jul 7;9(3):e36370. doi: 10.2196/36370.
Parkinson disease (PD) symptoms are complex, gradually progressive, and fluctuate hour by hour. Home-based technological sensors are being investigated to measure symptoms and track disease progression. A smart home sensor platform, with cameras and wearable devices, could be a useful tool to use to get a fuller picture of what someone's symptoms are like. High-resolution video can capture the ground truth of symptoms and activities. There is a paucity of information about the acceptability of such sensors in PD.
The primary objective of our study was to explore the acceptability of living with a multimodal sensor platform in a naturalistic setting in PD. Two subobjectives are to identify any suggested limitations and to explore the sensors' impact on participant behaviors.
A qualitative study was conducted with an inductive approach using semistructured interviews with a cohort of PD and control participants who lived freely for several days in a home-like environment while continuously being sensed.
This study of 24 participants (12 with PD) found that it is broadly acceptable to use multimodal sensors including wrist-worn wearables, cameras, and other ambient sensors passively in free-living in PD. The sensor that was found to be the least acceptable was the wearable device. Suggested limitations on the platform for home deployment included camera-free time and space. Behavior changes were noted by the study participants, which may have related to being passively sensed. Recording high-resolution video in the home setting for limited periods of time was felt to be acceptable to all participants.
The results broaden the knowledge of what types of sensors are acceptable for use in research in PD and what potential limitations on these sensors should be considered in future work. The participants' reported behavior change in this study should inform future similar research design to take this factor into account. Collaborative research study design, involving people living with PD at every stage, is important to ensure that the technology is acceptable and that the data outcomes produced are ecologically valid and accurate.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1136/bmjopen-2020-041303.
帕金森病（PD）症状复杂，呈渐进性发展，且逐小时波动。目前正在研究基于家庭的技术传感器，以测量症状并追踪疾病进展。一个配备摄像头和可穿戴设备的智能家居传感器平台，可能是用于更全面了解某人症状情况的有用工具。高分辨率视频能够捕捉症状和活动的真实情况。关于此类传感器在帕金森病患者中的可接受性，相关信息较少。
我们研究的主要目的是探讨在帕金森病患者的自然生活环境中使用多模态传感器平台的可接受性。两个次要目的是确定任何提出的局限性，并探讨传感器对参与者行为的影响。
采用定性研究方法，通过对一组帕金森病患者和对照参与者进行半结构化访谈，这些参与者在类似家庭的环境中自由生活数天，同时持续被传感监测。
这项针对24名参与者（12名帕金森病患者）的研究发现，在帕金森病患者的自由生活环境中，被动使用包括腕戴式可穿戴设备、摄像头和其他环境传感器在内的多模态传感器在很大程度上是可接受的。被发现最不可接受的传感器是可穿戴设备。对于家庭部署平台提出的局限性包括无摄像头的时间和空间。研究参与者注意到了行为变化，这可能与被被动传感监测有关。所有参与者都认为在家庭环境中短时间录制高分辨率视频是可以接受的。
研究结果拓宽了关于何种类型的传感器可用于帕金森病研究以及在未来工作中应考虑这些传感器的哪些潜在局限性的知识。本研究中参与者报告的行为变化应为未来类似研究设计提供参考，以便将这一因素考虑在内。涉及帕金森病患者各个阶段的合作研究设计对于确保该技术的可接受性以及所产生的数据结果具有生态有效性和准确性非常重要。
国际注册报告识别码（IRRID）：RR2-10.1136/bmjopen-2020-041303 。
