Emerging intelligent wearable devices for cardiovascular health monitoring

Cardiovascular diseases have long posed a significant threat to human health. Wearable devices are increasingly vital in cardiovascular health monitoring, disease screening, and early warning because of their non-invasiveness, real-time data provision and continuous monitoring capability. The collec...

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Published inNano today Vol. 59; p. 102544
Main Authors Wang, Yiqian, Zou, Yang, Li, Zhou
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.12.2024
Subjects
Artificial intelligence
Cardiovascular diseases
Health monitoring
Sensing technology
Wearable devices
Health monitoring
Sensing technology
Cardiovascular diseases
Wearable devices
Artificial intelligence
Online AccessGet full text
ISSN1748-0132
DOI10.1016/j.nantod.2024.102544

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Abstract Cardiovascular diseases have long posed a significant threat to human health. Wearable devices are increasingly vital in cardiovascular health monitoring, disease screening, and early warning because of their non-invasiveness, real-time data provision and continuous monitoring capability. The collection, processing, and analysis of data in cardiovascular health monitoring involve numerous repetitive and standardized tasks, where artificial intelligence (AI) technology plays a pivotal role. AI is particularly effective in handling large volumes of data, thus enhancing the diagnostic and predictive capabilities of wearable devices. This review summarizes essential indicators for assessing cardiovascular health and provides a comprehensive introduction to commonly used non-invasive monitoring methods, including pulse pressure, photoplethysmography, electrocardiogram, bioimpedance analysis, seismocardiography/ ballistocardiography, and ultrasonography. Additionally, some impressive advances in wearable cardiovascular health monitoring technologies are reviewed and their integration with AI is highlighted, demonstrating typical application cases from recent years. Finally, the review discusses the current challenges of integrating AI into wearable devices for cardiovascular health monitoring, focusing on aspects from device design, algorithm optimization, comfort, reliability, and security. With the seamless integration of AI and wearable devices, a new generation of wearable intelligent devices promises to revolutionize the monitoring, prevention and management strategies of cardiovascular diseases. [Display omitted] •Summary of key physiological indicators for cardiovascular health and their non-invasive monitoring methods.•Analysis of material, performance, forms, and applications of wearable cardiovascular health monitoring devices.•Review advances in wearable cardiovascular monitoring technology and their integration with artificial intelligence.•Summarize challenges and future directions in wearable cardiovascular devices: materials, design, algorithms, reliability.
AbstractList Cardiovascular diseases have long posed a significant threat to human health. Wearable devices are increasingly vital in cardiovascular health monitoring, disease screening, and early warning because of their non-invasiveness, real-time data provision and continuous monitoring capability. The collection, processing, and analysis of data in cardiovascular health monitoring involve numerous repetitive and standardized tasks, where artificial intelligence (AI) technology plays a pivotal role. AI is particularly effective in handling large volumes of data, thus enhancing the diagnostic and predictive capabilities of wearable devices. This review summarizes essential indicators for assessing cardiovascular health and provides a comprehensive introduction to commonly used non-invasive monitoring methods, including pulse pressure, photoplethysmography, electrocardiogram, bioimpedance analysis, seismocardiography/ ballistocardiography, and ultrasonography. Additionally, some impressive advances in wearable cardiovascular health monitoring technologies are reviewed and their integration with AI is highlighted, demonstrating typical application cases from recent years. Finally, the review discusses the current challenges of integrating AI into wearable devices for cardiovascular health monitoring, focusing on aspects from device design, algorithm optimization, comfort, reliability, and security. With the seamless integration of AI and wearable devices, a new generation of wearable intelligent devices promises to revolutionize the monitoring, prevention and management strategies of cardiovascular diseases. [Display omitted] •Summary of key physiological indicators for cardiovascular health and their non-invasive monitoring methods.•Analysis of material, performance, forms, and applications of wearable cardiovascular health monitoring devices.•Review advances in wearable cardiovascular monitoring technology and their integration with artificial intelligence.•Summarize challenges and future directions in wearable cardiovascular devices: materials, design, algorithms, reliability.
ArticleNumber 102544
Author Wang, Yiqian
Zou, Yang
Li, Zhou
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  givenname: Zhou
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  email: zli@binn.cas.cn
  organization: Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China
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Artificial intelligence
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Snippet Cardiovascular diseases have long posed a significant threat to human health. Wearable devices are increasingly vital in cardiovascular health monitoring,...
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SubjectTerms Artificial intelligence
Cardiovascular diseases
Health monitoring
Sensing technology
Wearable devices
Title Emerging intelligent wearable devices for cardiovascular health monitoring
URI https://dx.doi.org/10.1016/j.nantod.2024.102544
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