新型可穿戴织物心电衣在男女中均表现优异,减少运动干扰。
Comprehensive Signal Quality Evaluation of a Wearable Textile ECG Garment: A Sex-Balanced Study
- 创新电极布局降低噪声与运动伪影,提升信号质量。
- 男女各15人测试,心率与波形分析结果接近参考设备。
- 揭示性别差异对信号采集的影响,指导公平设计。
我们提出一种新型可穿戴织物心电衣,采用创新电极布局以最小化噪声和运动伪影,提升心电图(ECG)记录的信号保真度。通过包含15名健康男性和15名健康女性的全面、性别均衡评估,验证设备在解剖与生理差异下的适用性。评估框架涵盖:定量信号质量指标;基于节律的心率与心率变异性分析;机器学习分类任务以评估应用预测能力;形态学分析(包括振幅与间期参数);以及考虑织物-体形角度影响的电极投影研究,所有分析均按性别分层,揭示性别特异性影响。测试覆盖多种活动状态,模拟真实场景。结果表明,该织物系统在节律与形态分析中信号质量与参考设备高度一致,分类性能稳健,并能识别关键性别相关信号获取因素。研究证实织物式心电衣在生理监测与心理生理状态检测中的可行性,强调在可穿戴健康技术中融入性别差异化设计对实现公平可靠心脏诊断的重要性。
原文摘要 · Abstract (English)
We introduce a novel wearable textile-garment featuring an innovative electrode placement aimed at minimizing noise and motion artifacts, thereby enhancing signal fidelity in Electrocardiography (ECG) recordings. We present a comprehensive, sex-balanced evaluation involving 15 healthy males and 15 healthy female participants to ensure the device's suitability across anatomical and physiological variations. The assessment framework encompasses distinct evaluation approaches: quantitative signal quality indices to objectively benchmark device performance; rhythm-based analyzes of physiological parameters such as heart rate and heart rate variability; machine learning classification tasks to assess application-relevant predictive utility; morphological analysis of ECG features including amplitude and interval parameters; and investigations of the effects of electrode projection angle given by the textile / body shape, with all analyzes stratified by sex to elucidate sex-specific influences. Evaluations were conducted across various activity phases representing real-world conditions. The results demonstrate that the textile system achieves signal quality highly concordant with reference devices in both rhythm and morphological analyses, exhibits robust classification performance, and enables identification of key sex-specific determinants affecting signal acquisition. These findings underscore the practical viability of textile-based ECG garments for physiological monitoring as well as psychophysiological state detection. Moreover, we identify the importance of incorporating sex-specific design considerations to ensure equitable and reliable cardiac diagnostics in wearable health technologies.
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