Rahman Md Juber, Morshed Bashir I, Harmon Brook
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:5943-5947. doi: 10.1109/EMBC44109.2020.9175771.
Everyday wearables such as smartwatches or smart bands can play a pivotal role in the field of fitness and wellness and hold the prospect to be used for early disease detection and monitoring towards Smart Health (sHealth). One of the challenges is the extraction of reliable biomarkers from data collected using these devices in the real world (Living Labs). In this yearlong field study, we collected the nocturnal instantaneous heart rate from 9 participants using wrist-worn commercial smart bands and extracted heart rate variability features (HRV). In addition, we measured core body temperature using our custom-designed flexible Inkjet-Printed (IJP) temperature sensor and SpO2 with a finger pulse oximeter. The core body temperature along with user-reported symptoms have been used for automated spatiotemporal monitoring of flu symptoms severity in real-time. The extracted HRV feature values are within the 95% confidence interval of normative values and shows an anticipated trend for gender and age. The resulting dataset from this study is a novel addition and may be used for future investigations.Clinical Relevance- The findings of this study shows usability of wearables in detection and monitoring of diseases such as obstructive sleep apnea reducing the prevalence of undiagnosed cases. This framework also has potentials to monitor outbreaks of flu and other diseases with spatiotemporal distribution.
智能手表或智能手环等日常可穿戴设备在健身和健康领域可发挥关键作用,并且有望用于智能健康(sHealth)的早期疾病检测和监测。其中一个挑战是从在现实世界(生活实验室)中使用这些设备收集的数据中提取可靠的生物标志物。在这项为期一年的实地研究中,我们使用腕戴式商用智能手环收集了9名参与者的夜间瞬时心率,并提取了心率变异性特征(HRV)。此外,我们使用定制设计的柔性喷墨打印(IJP)温度传感器测量了核心体温,并使用手指脉搏血氧仪测量了血氧饱和度(SpO2)。核心体温以及用户报告的症状已用于实时自动时空监测流感症状的严重程度。提取的HRV特征值在标准值的95%置信区间内,并显示出与性别和年龄预期相符的趋势。本研究产生的数据集是一项新的补充,可用于未来的研究。临床意义——本研究结果表明可穿戴设备在检测和监测诸如阻塞性睡眠呼吸暂停等疾病方面具有实用性,从而降低未确诊病例的发生率。该框架还有潜力监测流感和其他疾病的时空分布疫情。