Dandapani Hari G, Davoodi Natalie M, Joerg Lucie C, Li Melinda M, Strauss Daniel H, Fan Kelly, Massachi Talie, Goldberg Elizabeth M
Brown University, Providence, RI, United States.
Department of Emergency Medicine, The Warren Alpert Medical School of Brown University, Providence, RI, United States.
Front Digit Health. 2022 Jun 14;4:893070. doi: 10.3389/fdgth.2022.893070. eCollection 2022.
Clinical researchers are using mobile-based sensors to obtain detailed and objective measures of the activity and health of research participants, but many investigators lack expertise in integrating wearables and sensor technologies effectively into their studies. Here, we describe the steps taken to design a study using sensors for disease monitoring in older adults and explore the benefits and drawbacks of our approach. In this study, the Geriatric Acute and Post-acute Fall Prevention Intervention (GAPcare), we created an iOS app to collect data from the Apple Watch's gyroscope, accelerometer, and other sensors; results of cognitive and fitness tests; and participant-entered survey data. We created the study app using ResearchKit, an open-source framework developed by Apple for medical research that includes neuropsychological tests (e.g., of executive function and memory), gait speed, balance, and other health assessments. Data is transmitted via an Application Programming Interface (API) from the app to REDCap for researchers to monitor and analyze in real-time. Employing the lessons learned from GAPcare could help researchers create study-tailored research apps and access timely information about their research participants from wearables and smartphone devices for disease prevention, monitoring, and treatment.
临床研究人员正在使用基于移动设备的传感器来获取研究参与者活动和健康状况的详细客观数据，但许多研究人员缺乏将可穿戴设备和传感器技术有效整合到其研究中的专业知识。在此，我们描述了为设计一项使用传感器监测老年人疾病的研究而采取的步骤，并探讨了我们方法的优缺点。在这项名为“老年急性和亚急性跌倒预防干预（GAPcare）”的研究中，我们创建了一个iOS应用程序，用于收集来自苹果手表的陀螺仪、加速度计及其他传感器的数据、认知和体能测试结果以及参与者输入的调查数据。我们使用ResearchKit创建了该研究应用程序，ResearchKit是苹果公司为医学研究开发的一个开源框架，其中包括神经心理学测试（如执行功能和记忆测试）、步速、平衡及其他健康评估。数据通过应用程序编程接口（API）从应用程序传输到REDCap，供研究人员实时监测和分析。借鉴GAPcare的经验教训，有助于研究人员创建针对研究定制的研究应用程序，并从可穿戴设备和智能手机设备获取有关研究参与者的及时信息，以用于疾病预防、监测和治疗。
