Utilizing Wearable Sensors to Investigate the Impact of Everyday Activities on Heart Rate
Utilizing Wearable Sensors to Investigate the Impact of Everyday Activities on Heart Rate
复制标题
利用可穿戴传感器研究日常活动对心率的影响
DOI：
--
复制
发表时间：
2011
期刊：
影响因子：
--
通讯作者：
B. Scotney
中科院分区：
文献类型：
--
作者：
L. Galway;Shuai Zhang;C. Nugent;S. McClean;D. Finlay;B. Scotney
传感器技术的进步为连续且不引人注目地捕获生理信号提供了机会。受益于这项技术的一个特殊应用是心血管疾病的远程监测和管理。本文介绍了一项考虑日常活动对心率影响的调查细节。从可穿戴无线传感器收集的心电图和加速度计信号已被用来研究生理和活动相关的概况信息之间的潜在关系。通过使用 CUSUM 算法分析心率模式，捕获了活动对心率的影响。随后的结果表明，在活动开始后不久就会检测到心率模式的变化。还提出了该研究的进一步扩展，包括整合一系列心电图功能和智能数据分析技术，从而促进情境感知健康监测机制的未来发展。
Advances in sensor technologies have provided the opportunity to perform continuous and unobtrusive capturing of physiological signals. One particular application that has benefitted from this technology is the remote monitoring and management of cardiovascular conditions. In this paper, details of an investigation considering the impact of everyday activities on heart rate are presented. ECG and accelerometer signals collected from wearable wireless sensors have been utilized to investigate the underlying relationships between physiological and activity-related profile information. The impact of activities on heart rate has been captured through analysis of the patterns of heart rate using the CUSUM algorithm. Subsequently, results have shown that a change in the pattern of heart rate is detected shortly after an activity commences. Further extensions of the research are also proposed, including integration of a range of ECG features and intelligent data analysis techniques, thereby facilitating the future development of context aware health monitoring mechanisms.