Buonocore Chris M, Rocchio Rosemary A, Roman Alfonso, King Christine E, Sarrafzadeh Majid
Department of Computer Science, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA.
Office of Information Technology, UCLA, Los Angeles, CA 90095, USA.
IEEE Int Conf Connect Health Appl Syst Eng Technol. 2017 Jul;2017:137-146. doi: 10.1109/CHASE.2017.72. Epub 2017 Aug 17.
Pediatric asthma is a prevalent chronic disease condition that can benefit from wireless health systems through constant symptom management. In this paper, we propose a smart watch based wireless health system that incorporates wireless sensing and ecological momentary assessment (EMA) to determine an individual's asthma symptoms. Since asthma is a multifaceted disease, this approach provides individualized symptom assessments through various physiological and environmental wireless sensor based EMA triggers specific to common asthma exacerbations. Furthermore, the approach described here improves compliance to use of the system through insightful EMA scheduling related to sensor detected environmental and physiological changes, as well as the patient's own schedule. After testing under several real world conditions, it was found that the system is sensitive to both physiological and environmental conditions that would cause asthma symptoms. Furthermore, the EMA questionnaires that were triggered based on these changes were specific to the asthma trigger itself, allowing for invaluable context behind the data to be collected.
小儿哮喘是一种常见的慢性疾病，通过持续的症状管理，无线健康系统可使其受益。在本文中，我们提出了一种基于智能手表的无线健康系统，该系统结合了无线传感和生态瞬时评估（EMA）来确定个体的哮喘症状。由于哮喘是一种多方面的疾病，这种方法通过基于各种生理和环境无线传感器的EMA触发因素提供个性化症状评估，这些触发因素特定于常见的哮喘发作。此外，这里描述的方法通过与传感器检测到的环境和生理变化以及患者自身日程相关的有洞察力的EMA调度，提高了对系统使用的依从性。在几种现实世界条件下进行测试后，发现该系统对会引发哮喘症状的生理和环境条件均敏感。此外，基于这些变化触发的EMA问卷特定于哮喘触发因素本身，从而能够收集到数据背后极有价值的背景信息。
