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Bioelectron Med

Title:		Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform
Author(s):		Wang C; He T; Zhou H; Zhang Z; Lee C;
Address:		"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. Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117576, Singapore. elelc@nus.edu.sg. Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, 5 Engineering Drive 1, Singapore, 117608, Singapore. elelc@nus.edu.sg. NUS Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou, 215123, China. elelc@nus.edu.sg. NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore, 117456, Singapore. elelc@nus.edu.sg"
Journal Title:		Bioelectron Med
Year:		2023
Volume:		20230802
Issue:		1
Page Number:		17 -
DOI:		10.1186/s42234-023-00118-1
ISSN/ISBN:		2332-8886 (Electronic) 2332-8886 (Linking)
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"
Keywords:		Artificial Artificial intelligence of things Healthcare Human-machine interfaces Implantable sensors Neural interfaces Volatile organic compounds Wearable sensors;
Notes:		"PubMed-not-MEDLINEWang, Chan He, Tianyiyi Zhou, Hong Zhang, Zixuan Lee, Chengkuo eng A-0009037-02-00/Reimagine Research Scheme/ A0009037-03-00/Reimagine Research Scheme/ A-0009454-01-00/Reimagine Research Scheme/ A-0009520-01-00/Ministry of Education of Singapore/ A-0005947-20-00/Advanced Research and Technology Innovation Centre, College of Design and Engineering, National University of Singapore/ Review England 2023/08/02 Bioelectron Med. 2023 Aug 2; 9(1):17. doi: 10.1186/s42234-023-00118-1"