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Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform
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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394931/ https://www.ncbi.nlm.nih.gov/pubmed/37528436 http://dx.doi.org/10.1186/s42234-023-00118-1 |
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author | Wang, Chan He, Tianyiyi Zhou, Hong Zhang, Zixuan Lee, Chengkuo |
author_facet | Wang, Chan He, Tianyiyi Zhou, Hong Zhang, Zixuan Lee, Chengkuo |
author_sort | Wang, Chan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10394931 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103949312023-08-03 Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform Wang, Chan He, Tianyiyi Zhou, Hong Zhang, Zixuan Lee, Chengkuo Bioelectron Med Review 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. BioMed Central 2023-08-02 /pmc/articles/PMC10394931/ /pubmed/37528436 http://dx.doi.org/10.1186/s42234-023-00118-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Wang, Chan He, Tianyiyi Zhou, Hong Zhang, Zixuan Lee, Chengkuo Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform |
title | Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform |
title_full | Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform |
title_fullStr | Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform |
title_full_unstemmed | Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform |
title_short | Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform |
title_sort | artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394931/ https://www.ncbi.nlm.nih.gov/pubmed/37528436 http://dx.doi.org/10.1186/s42234-023-00118-1 |
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