Collecting and analyzing smartphone sensor data for health
Collecting and analyzing smartphone sensor data for health
复制标题
收集和分析智能手机传感器数据以促进健康
DOI：
10.1145/3437359.3465599
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Gaither, Kelly
中科院分区：
文献类型：
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作者：
Drake, Justin;Schulz, Karl;Bukowski, Radek;Gaither, Kelly
有证据表明，健康和疾病的特征，或数字生物标志物，存在于从智能手机传感器和可穿戴设备收集的异质的、时间密集的数据中，这些数据可以用于医疗应用。现代智能手机包含一系列节能传感器，能够捕获设备的移动、方向和位置以及其外部环境的特性（例如，环境温度、声音、压力）。当与智能手表等外围可穿戴设备配对时，智能手机还可以促进心率和血氧饱和度等重要生命体征的收集/聚合。在这里，我们讨论了我们最近的经验，部署了一个开源的云原生框架，在一年的时间里从一群孕妇那里监控和收集智能手机传感器数据。我们强调了两个开源集成到管道中，我们发现特别有用：1）一个由Grafana构建并由Graphite支持的仪表板，用于监控和管理整个研究队列的生产服务器负载和数据收集指标; 2）一个后端存储解决方案，带有InfluxDB，一个多租户时间序列数据库和数据探索生态系统，以支持多学科研究团队的生物标志物发现工作。
Evidence suggests that signatures of health and disease, or digital biomarkers, exist within the heterogeneous, temporally-dense data gathered from smartphone sensors and wearable devices that can be leveraged for medical applications. Modern smartphones contain a collection of energy-efficient sensors capable of capturing the device’s movement, orientation, and location as well characteristics of its external environment (e.g. ambient temperature, sound, pressure). When paired with peripheral wearable devices like smart watches, smartphones can also facilitate the collection/aggregation of important vital signs like heart rate and oxygen saturation. Here we discuss our recent experiences with deploying an open-source, cloud-native framework to monitor and collect smartphone sensor data from a cohort of pregnant women over a period of one year. We highlight two open-source integrations into the pipeline we found particularly useful: 1) a dashboard–built with Grafana and backed by Graphite–to monitor and manage production server loads and data collection metrics across the study cohort and 2) a back-end storage solution with InfluxDB, a multi-tenant time series database and data exploration ecosystem, to support biomarker discovery efforts of a multidisciplinary research team.