Cited by 453Advanced Sensor and Energy Harvesting MaterialsNon-Invasive Vital Sign MonitoringWireless Body Area Networks

Flexible Wearable Sensors for Cardiovascular Health Monitoring

Chen, Shuwen, Qi, Jiaming, Fan, Shicheng, Qiao, Zheng, Yeo, Joo Chuan, Lim, Chwee Teck·2021·Advanced Healthcare Materials

Abstract

Cardiovascular diseases account for the highest mortality globally, but recent advances in wearable technologies may potentially change how these illnesses are diagnosed and managed. In particular, continuous monitoring of cardiovascular vital signs for early intervention is highly desired. To this end, flexible wearable sensors that can be comfortably worn over long durations are gaining significant attention. In this review, advanced flexible wearable sensors for monitoring cardiovascular vital signals are outlined and discussed. Specifically, the functional materials, configurations, mechanisms, and recent advances of these flexible sensors for heart rate, blood pressure, blood oxygen saturation, and blood glucose monitoring are highlighted. Different mechanisms in bioelectric, mechano‐electric, optoelectric, and ultrasonic wearable sensors are presented to monitor cardiovascular vital signs from different body locations. Present challenges, possible strategies, and future directions of these wearable sensors are also discussed. With rapid development, these flexible wearable sensors will potentially be applicable for both medical diagnosis and daily healthcare use in tackling cardiovascular diseases.

Integrity signals

Registry

Crossref · 10.1002/adhm.202100116

Cites

225 of 225 references verified0 citation errors · 0 not checkable

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  • By examining an individual's activity level, sleep patterns, and heart rate, AI algorithms can forecast the likelihood of heart attacks or strokes.

    “For instance, by examining an individual’s activity level, sleep patterns, and heart rate, AI algorithms can forecast the likelihood of heart attacks or strokes, empowering healthcare providers to take proactive measures [8,20].”
  • AI-based ECG monitors can provide more reliable and accurate data, even during dynamic movements.

    “Therefore, AI-based ECG monitors can provide more reliable and accurate data, even during dynamic movements [8].”
  • Multimodal sensing, combining ECG data with other physiological and environmental parameters, such as EOG, EMG, temperature, strain, humidity, and bacterial infection, facilitated a comprehensive health profile.

    “Additionally, multimodal sensing, combining ECG data with other physiological and environmental parameters, such as EOG, EMG, temperature, strain, humidity, and bacterial infection, facilitated a comprehensive health profile [8,181,237] (Figure 7c).”

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Authors
Chen, S., Qi, J., Fan, S., Qiao, Z., Yeo, J. C., & Lim, C. T.
Affiliations
  • National University of Singapore (SG)
  • Department of Biomedical Engineering National University of Singapore Singapore 117583 Singapore
Corresponding author
  • Yeo, Joo Chuan
  • Lim, Chwee Teck
Venue
Advanced Healthcare Materials
Publisher
Wiley
Published
2021-05-06
Volume
10
Issue
17
Pages
e2100116-e2100116
ISSN
  • 2192-2640 (ISSN-L)
  • 2192-2659
OpenAlex
W3159231051
Cited by
453
References
225
Citations by year
2026: 65 · 2025: 115 · 2024: 116 · 2023: 100 · 2022: 50 · 2021: 7
FWCI
5.77
Type
journal article
Language
en
Open access
closed
Locations
  • Advanced Healthcare Materials (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
  • Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
Keywords
flexible wearable sensors, cardiovascular monitoring, heart rate monitoring, blood pressure monitoring, oxygen saturation, blood glucose monitoring, ultrasonic sensors, cardiovascular disease, continuous vital sign monitoring
MeSH terms
Wearable Electronic Devices, Blood Glucose, Monitoring, Physiologic, Blood Glucose Self-Monitoring, Vital Signs

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