Department of Genetics and Bioengineering, International Burch University, Sarajevo, Bosnia and Herzegovina.
Tex Heart Inst J. 2022 Sep 1;49(5). doi: 10.14503/THIJ-21-7564.
Atrial fibrillation is the most commonly experienced type of cardiac arrhythmia and is the most associated with substantial clinical occurrences and expenses. This arrhythmia often occurs in its "silent" asymptomatic form, revealed only after complications such as a stroke or congestive heart failure have transpired. New smart devices confer effective advantages in the detection of this heart arrhythmia, of which photoplethysmography-based smart devices have shown great potential, according to previous research. However, the solution becomes a problem as widespread use and high availability of various applications and smart devices may lead to substantial amounts of false and misleading recordings and information, causing unnecessary anxiety regarding arrhythmic occurrences diagnosed by the devices but not professionally confirmed. Thus, with most of the devices being photoplethysmography based for detection of atrial fibrillation, it is important to research devices studied up to this point to find the best smart device to detect the aforementioned arrhythmias.
心房颤动是最常见的心律失常类型,与大量临床事件和费用最相关。这种心律失常通常以“沉默”无症状的形式发生,只有在发生中风或充血性心力衰竭等并发症后才会显现。根据之前的研究,新的智能设备在检测这种心脏心律失常方面具有显著优势,其中基于光电容积脉搏波的智能设备显示出巨大的潜力。然而,随着各种应用程序和智能设备的广泛使用和高可用性,可能会导致大量虚假和误导性的记录和信息,这给设备诊断但未经专业确认的心律失常带来了不必要的焦虑,这就成了一个问题。因此,由于大多数检测心房颤动的设备都是基于光电容积脉搏波,因此研究到目前为止研究过的设备以找到检测上述心律失常的最佳智能设备非常重要。