Avanu Alexandra E, Dodi Gianina
Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iasi, 700115 Iasi, Romania.
Faculty of Medical Bioengineering, Grigore T. Popa University of Medicine and Pharmacy of Iasi, 700454 Iasi, Romania.
Sensors (Basel). 2025 Jan 23;25(3):676. doi: 10.3390/s25030676.
Atrial fibrillation (AF), a prevalent cardiac arrhythmia and a major contributor to stroke risk, is anticipated to increase in incidence with the aging global population. For effective AF management, particularly for paroxysmal AF (PAF), long-term and accurate monitoring is essential. However, traditional monitoring methods, including Holter ECGs and implantable cardiac monitors (ICMs), present limitations in comfort, compliance and extended monitoring capabilities. Recent advancements in wearable technology have introduced smart textile-based ECG devices, which incorporate electrochemical sensors into fabrics, enabling non-invasive, continuous monitoring while enhancing user comfort. This review evaluates textile-based ECG devices by comparing their performance-assessed through AF detection rates, signal-to-noise ratio (SNR) and total analysis time-against conventional Holter monitoring and the 12-lead ECG. Furthermore, this review examines user acceptability factors, including patient-reported comfort, usability during resting and physical activities and skin-related adverse effects. The findings aim to provide insights for future device development and facilitate their integration into clinical practice.
心房颤动（AF）是一种常见的心律失常，也是中风风险的主要促成因素，预计随着全球人口老龄化，其发病率将会增加。对于有效的房颤管理，尤其是阵发性房颤（PAF），长期且准确的监测至关重要。然而，传统的监测方法，包括动态心电图（Holter）和植入式心脏监测器（ICM），在舒适度、依从性和扩展监测能力方面存在局限性。可穿戴技术的最新进展引入了基于智能纺织品的心电图设备，该设备将电化学传感器集成到织物中，能够在提高用户舒适度的同时进行无创、连续监测。本综述通过比较基于纺织品的心电图设备与传统动态心电图监测和12导联心电图的性能（通过房颤检测率、信噪比（SNR）和总分析时间评估）来评估此类设备。此外，本综述还考察了用户可接受性因素，包括患者报告的舒适度、休息和身体活动期间的可用性以及与皮肤相关的不良反应。研究结果旨在为未来设备的开发提供见解，并促进其融入临床实践。
