Neural Engineering Centre, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Adv Mater. 2023 Jul;35(30):e2211236. doi: 10.1002/adma.202211236. Epub 2023 Jun 9.
Long-term epidermal electrophysiological (EP) monitoring is crucial for disease diagnosis and human-machine synergy. The human skin is covered with hair that grows at an average rate of 0.3 mm per day. This impedes a stable contact between the skin and dry epidermal electrodes, resulting in motion artifacts during ultralong-term EP monitoring. Therefore, accurate and high-quality EP signal detection remains challenging. To address this issue, a new solution-the hairy-skin-adaptive viscoelastic dry electrode (VDE) is reported. This innovative technology is capable of bypassing hair and filling into the skin wrinkles, leading to long-lasting and stable interface impedance. The VDE maintains a stable interface impedance for a remarkable period of 48 days and 100 cycles. The VDE is highly effective in shielding against hair disturbances in electrocardiography (ECG) monitoring, even during intense chest expansion, and in electromyography (EMG) monitoring during large strain. Furthermore, the VDE is easily attachable to the skull without requiring any electroencephalogram (EEG) cap or bandage, making it an ideal solution for EEG monitoring. This work represents a substantial breakthrough in the field of EP monitoring, providing a solution for the previously challenging issue of monitoring human EP signals on hairy skin.
长期的表皮电生理 (EP) 监测对于疾病诊断和人机协同至关重要。人类皮肤覆盖着毛发,其平均生长速度为每天 0.3 毫米。这阻碍了皮肤和干性表皮电极之间的稳定接触,导致超长 EP 监测期间出现运动伪影。因此,准确、高质量的 EP 信号检测仍然具有挑战性。为了解决这个问题,报道了一种新的解决方案——毛发自适应黏弹干电极 (VDE)。这项创新技术能够绕过毛发并填充到皮肤皱纹中,从而实现持久稳定的界面阻抗。VDE 能够保持长达 48 天和 100 个循环的稳定界面阻抗。VDE 在心电图 (ECG) 监测中对毛发干扰具有高度的屏蔽效果,即使在剧烈的胸部扩张期间,在肌电图 (EMG) 监测中也能应对大应变。此外,VDE 可以轻松地附着在颅骨上,无需使用任何脑电图 (EEG) 帽或绷带,使其成为 EEG 监测的理想解决方案。这项工作代表了 EP 监测领域的重大突破,为监测毛发皮肤人类 EP 信号这一先前具有挑战性的问题提供了一种解决方案。