智能手表代表了可穿戴设备中最广泛采用的技术创新之一。他们的进化为他们配备了越来越多的功能,包括记录心电图的能力。此功能允许用户检测潜在的心律失常,能够及时干预或监测现有的心律失常,比如心房颤动。在我们的研究中,我们的目标是编制病例报告,案例系列,和来自科学网的队列研究,PubMed,Scopus,和Embase数据库发布至2023年8月1日。搜索采用的关键字,如\"SmartWatch\",\"AppleWatch\",\"三星齿轮\",“三星Galaxy手表”,“谷歌像素手表”,\"Fitbit\",\"华为手表\",\"Withings\",\"Garmin\",“心房颤动”,“室上性心动过速”,“心律失常”,“室性心动过速”,“房室结折返性心动过速”,“房室折返性心动过速”,“心脏块”,\"心房颤振\",\"异位房性心动过速\",和“缓慢性心律失常。“我们总共获得了758个结果,我们从中选择了57篇文章,包括33个病例报告和病例系列,以及24项队列研究。大多数科学工作都集中在心房颤动上,这是经常使用苹果手表检测到的。然而,我们还纳入了研究心律失常的文章,这些心律失常有可能在没有立即干预的情况下出现循环衰竭.这篇系统的文献综述全面概述了使用智能手表进行心律失常检测的研究现状。通过进一步的研究,有可能开发一种整合智能手表记录的心律失常的护理方案,允许患者及时获得适当的医疗护理。此外,使用智能手表对现有心律失常进行持续监测有助于评估处方治疗的有效性.
Smartwatches represent one of the most widely adopted technological innovations among wearable devices. Their evolution has equipped them with an increasing array of features, including the capability to record an electrocardiogram. This functionality allows users to detect potential arrhythmias, enabling prompt intervention or monitoring of existing arrhythmias, such as atrial fibrillation. In our research, we aimed to compile case reports, case series, and cohort studies from the Web of Science, PubMed, Scopus, and Embase databases published until 1 August 2023. The search employed keywords such as \"Smart Watch\", \"Apple Watch\", \"Samsung Gear\", \"Samsung Galaxy Watch\", \"Google Pixel Watch\", \"Fitbit\", \"Huawei Watch\", \"Withings\", \"Garmin\", \"Atrial Fibrillation\", \"Supraventricular Tachycardia\", \"Cardiac
Arrhythmia\", \"Ventricular Tachycardia\", \"Atrioventricular Nodal Reentrant Tachycardia\", \"Atrioventricular Reentrant Tachycardia\", \"Heart Block\", \"Atrial Flutter\", \"Ectopic Atrial Tachycardia\", and \"Bradyarrhythmia.\" We obtained a total of 758 results, from which we selected 57 articles, including 33 case reports and case series, as well as 24 cohort studies. Most of the scientific works focused on atrial fibrillation, which is often detected using Apple Watches. Nevertheless, we also included articles investigating arrhythmias with the potential for circulatory collapse without immediate intervention. This systematic literature
review provides a comprehensive overview of the current state of research on
arrhythmia detection using smartwatches. Through further research, it may be possible to develop a care protocol that integrates arrhythmias recorded by smartwatches, allowing for timely access to appropriate medical care for patients. Additionally, continuous monitoring of existing arrhythmias using smartwatches could facilitate the assessment of the effectiveness of prescribed therapies.