The DOI matches its Crossref record; 225 of the 225 references it cites were found in a registry or an index.
Flexible Wearable Sensors for Cardiovascular Health Monitoring
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.
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“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].”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [8]
In the citing paper
“Therefore, AI-based ECG monitors can provide more reliable and accurate data, even during dynamic movements [8].”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [8]
In the citing paper
“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).”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [8]
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The emergence of AI-based wearable sensors for digital health technology: a review
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Metadata
- 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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