Wearable bioelectronic sensors are often used for health monitoring but are typically limited to a few physical or chemical parameters, which hinders their ability to provide a complete health assessment. Recently, wearable sensor platforms have been developed that can simultaneously and continuously record multiple biophysical and biochemical signals. These devices take advantage of advances in electronic device fabrication and miniaturization, bioelectronic sensors, and flexible materials. However, compared with existing wearable systems, which mostly contain either biochemical or biophysical sensors, hybrid multimodal wearable patches present a number of distinct challenges for further advancement. Here, we examine the development of such hybrid multimodal wearable sensors and explore their potential applications in tracking the health and disease status of different users. We highlight the key biomarkers and vital signs (related to various pathophysiological conditions) that hybrid bioelectronic sensor systems must be designed around. We also explore how artificial intelligence could be integrated with these hybrid multimodal sensors to offer wearers the ability to assess their health status in real time.

可穿戴生物电子传感器通常用于健康监测，但通常仅限于一些物理或化学参数，这阻碍了它们提供完整健康评估的能力。最近，已经开发出可穿戴传感器平台，可以同时连续记录多个生物物理和生化信号。这些设备利用了电子设备制造和小型化、生物电子传感器和柔性材料方面的进步。然而，与现有的主要包含生化或生物物理传感器的可穿戴系统相比，混合多模式可穿戴贴片为进一步发展提出了许多独特的挑战。在这里，我们研究了这种混合多模式可穿戴传感器的发展，并探讨了它们在跟踪不同用户的健康和疾病状态方面的潜在应用。我们强调了混合生物电子传感器系统必须围绕的关键生物标志物和生命体征（与各种病理生理条件相关）。我们还探索了人工智能如何与这些混合多模式传感器集成，使佩戴者能够实时评估其健康状况。