Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform.

Chan Wang, Tianyiyi He, Hong Zhou, Zixuan Zhang, Chengkuo Lee
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引用次数: 5

Abstract

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.

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人工智能增强的传感器-支持下一代医疗保健和生物医学平台的技术。
第四次工业革命推动了以数字化、智能化为特征的健康监测传感器的发展和应用。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的应用,为人们提供更便捷、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限制。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,实现了高精度的预测和决策。通过物联网、人工智能、健康监测传感器的融合,实现实时监测、数据采集、在线分析、诊断、推荐治疗的闭环系统。本文从材料、器件结构、系统集成、应用场景等方面综述了智能技术增强医疗保健人工传感器的研究进展。具体来说,本文首先介绍了可穿戴传感器在监测呼吸频率、心率、脉搏、汗水和眼泪方面的巨大进展;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;用于精确治疗的软性可穿戴电子设备。重点介绍了近年来在挥发性有机物检测方面的研究进展。接下来,对人机界面、人工智能增强的多模传感器和人工智能增强的自我可持续系统的当前发展进行了综述。最后,对今后的研究方向进行了展望。综上所述,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加智能、便捷、安全的服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
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