Wrinkle‐Adaptive Kirigami Wearables With Anisotropic Deformability for Sleep EEG Monitoring

ABSTRACT Wearable electroencephalography (EEG) devices offer a promising solution for continuous brain monitoring outside laboratory settings. However, maintaining stable signal quality over extended periods remains challenging, as skin‐mounted EEG systems are prone to contact‐induced noise caused by skin deformation and body motion. Here, we present a wrinkle‐adaptive kirigami structure and a soft, wearable EEG patch engineered to match subject‐specific forehead wrinkle patterns, thereby stabilizing the electrode‐skin interface. Our two‐step kirigami architecture integrates global conformability with localized strain accommodation, delivering anisotropic deformability and maintaining mechanical stability during facial motion. Leveraging an automated image‐based workflow, we enable scalable, individualized generation of kirigami patterns. When integrated into a soft, wireless wearable system, the personalized patch delivers consistently enhanced signal‐to‐noise ratios across multiple EEG frequency bands, even under diverse motion conditions in at‐home sleep settings. This technology demonstrates broad applicability for sleep EEG monitoring and underscores the potential of morphology‐aware structural design for next‐generation wearable EEG devices.