Wang Chan, He Tianyiyi, Zhou Hong, Zhang Zixuan, Lee Chengkuo
Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117576, Singapore.
Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, 5 Engineering Drive 1, Singapore, 117608, Singapore.
Bioelectron Med. 2023 Aug 2;9(1):17. doi: 10.1186/s42234-023-00118-1.
The fourth industrial revolution has led to the development and application of health monitoring sensors that are characterized by digitalization and intelligence. These sensors have extensive applications in medical care, personal health management, elderly care, sports, and other fields, providing people with more convenient and real-time health services. However, these sensors face limitations such as noise and drift, difficulty in extracting useful information from large amounts of data, and lack of feedback or control signals. The development of artificial intelligence has provided powerful tools and algorithms for data processing and analysis, enabling intelligent health monitoring, and achieving high-precision predictions and decisions. By integrating the Internet of Things, artificial intelligence, and health monitoring sensors, it becomes possible to realize a closed-loop system with the functions of real-time monitoring, data collection, online analysis, diagnosis, and treatment recommendations. This review focuses on the development of healthcare artificial sensors enhanced by intelligent technologies from the aspects of materials, device structure, system integration, and application scenarios. Specifically, this review first introduces the great advances in wearable sensors for monitoring respiration rate, heart rate, pulse, sweat, and tears; implantable sensors for cardiovascular care, nerve signal acquisition, and neurotransmitter monitoring; soft wearable electronics for precise therapy. Then, the recent advances in volatile organic compound detection are highlighted. Next, the current developments of human-machine interfaces, AI-enhanced multimode sensors, and AI-enhanced self-sustainable systems are reviewed. Last, a perspective on future directions for further research development is also provided. In summary, the fusion of artificial intelligence and artificial sensors will provide more intelligent, convenient, and secure services for next-generation healthcare and biomedical applications.
第四次工业革命推动了以数字化和智能化为特征的健康监测传感器的发展与应用。这些传感器在医疗保健、个人健康管理、老年护理、体育等领域有着广泛应用,为人们提供了更便捷、实时的健康服务。然而,这些传感器面临着诸如噪声和漂移、难以从大量数据中提取有用信息以及缺乏反馈或控制信号等局限性。人工智能的发展为数据处理和分析提供了强大的工具和算法,实现了智能健康监测,并能做出高精度的预测和决策。通过将物联网、人工智能和健康监测传感器相结合,有可能实现一个具有实时监测、数据收集、在线分析、诊断和治疗建议功能的闭环系统。本综述从材料、器件结构、系统集成和应用场景等方面重点介绍了智能技术增强的医疗保健人工传感器的发展情况。具体而言,本综述首先介绍了用于监测呼吸频率、心率、脉搏、汗液和眼泪的可穿戴传感器;用于心血管护理、神经信号采集和神经递质监测的植入式传感器;用于精确治疗的柔性可穿戴电子产品等方面取得的重大进展。然后,强调了挥发性有机化合物检测方面的最新进展。接下来,回顾了人机接口、人工智能增强的多模式传感器和人工智能增强的自维持系统的当前发展情况。最后,还提供了关于未来进一步研究发展方向的展望。总之,人工智能与人工传感器的融合将为下一代医疗保健和生物医学应用提供更智能、便捷和安全的服务。