Advancements in wearable sensors for cardiovascular disease detection for health monitoring

可穿戴计算机 模式 灵活性(工程) 医学 软件可移植性 电容感应 可穿戴技术 人机交互 计算机科学 系统工程 风险分析(工程) 工程类 嵌入式系统 社会科学 统计 数学 社会学 程序设计语言 操作系统
作者
Bangul Khan,Zainab Riaz,Rafi u Shan Ahmad,Bee Luan Khoo
出处
期刊:Materials Science and Engineering R [Elsevier BV]
卷期号:159: 100804-100804 被引量:11
标识
DOI:10.1016/j.mser.2024.100804
摘要

The widespread prevalence of cardiovascular diseases (CVDs) mandates meticulous and continuous monitoring for effective management and treatment. Wearable technologies have garnered substantial attention due to their seamless integration with bodily movements and biological systems. Researchers are actively exploring wearable technology from multidimensional angles, encompassing materials, design, and bioelectronics, to enhance CVD detection with greater sophistication and comfort. Enduring challenges, notably those surrounding material selection, persist, encompassing biocompatibility, conductivity, sensitivity, accuracy, and flexibility. Addressing these challenges is pivotal for adequate progress in wearable devices across many applications. Here, our review highlights the advancements in developing novel materials tailored for wearable technologies to detect cardiovascular diseases. The paper explicitly accentuates potential materials, architectural designs, operative mechanisms, and recent breakthroughs in flexible wearable sensors for CVD detection. The discussion explores diverse sensing mechanisms to monitor vital cardiac indicators, including piezoelectric, piezoresistive, capacitive, and triboelectric modalities. Furthermore, the paper provides a consolidated overview of contemporary efforts by different research teams in pulse wave sensors, heart sound sensors, ultrasound sensors, wearable ECG electrodes, and electro-biochemical sensors. We envision that the comprehensive analysis and juxtaposition of these distinct sensing mechanisms provide a more nuanced comprehension of their potential applications, constraints, and performance attributes within the wearable CVD health monitoring device framework.
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