计算机科学
可穿戴计算机
可视化
实时计算
噪音(视频)
远程医疗
人工智能
同步(交流)
心电图
远程病人监护
计算机视觉
医学
电信
嵌入式系统
频道(广播)
心脏病学
医疗保健
经济
图像(数学)
放射科
经济增长
作者
Jing Zhao,Ziyue Zhang,Zhenyuan Han,Qi Wang,Hui Yu,Hongxia Zhang,Dagong Jia
出处
期刊:Applied Optics
[Optica Publishing Group]
日期:2022-04-14
卷期号:61 (22): G15-G15
被引量:2
摘要
Sudden cardiac death (SCD) caused by cardiovascular disease is the greatest hidden danger to human life, accounting for about 25% of the total deaths in the world. Due to the early concealment of SCD and the heavy medical burden of long-term examination, telemedicine combined with home monitoring has become a potential medical alert method. Among all the existing human cardiac and electrophysiology monitoring methods, optics-based sensors attract the widest attention due to the advantages of low delay, real-time monitoring, and high signal-to-noise ratio. In this paper, we propose an optical sensor with the capabilities of long-term monitoring and real-time analysis. Combining an R-peak recognition algorithm, Lorenz plots (LP), and statistical analysis, we carried out the consistency analysis and result visualization of ECG sequences over 1 h. The results of 10 subjects show that the R-peak recognition accuracy of the optical ECG monitor is higher than 97.99%. The optical system can display abnormal heart rhythm in real-time through LP, and the readability is good, which makes the system suitable for self-monitoring at home. In addition, this paper provides a detailed long-term monitoring assessment method to effectively guide the practical clinical transformation of other optical wearable devices.
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