Monitoring and analysis of cardiovascular pulse waveforms using flexible capacitive and piezoresistive pressure sensors and machine learning perspective

被引:42
|
作者
Chowdhury, Azmal Huda [1 ]
Jafarizadeh, Borzooye [1 ]
Baboukani, Amin Rabiei [1 ]
Pala, Nezih [2 ]
Wang, Chunlei [1 ]
机构
[1] Florida Int Univ, Dept Mech & Mat Engn, Miami, FL 33174 USA
[2] Florida Int Univ, Dept Elect & Comp Engn, Miami, FL 33174 USA
来源
基金
美国国家科学基金会;
关键词
Cardiovascular disease; Pulse waveforms; Flexible pressure sensors; Machine learning; ELECTRONIC SKIN; HIGH-PERFORMANCE; TRIBOELECTRIC NANOGENERATORS; POLYURETHANE SPONGE; HIGH-SENSITIVITY; SILVER NANOWIRES; STRAIN SENSORS; GRAPHENE-OXIDE; LOW-COST; TRANSPARENT;
D O I
10.1016/j.bios.2023.115449
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
The growing interest in flexible electronics for physiological monitoring, particularly using flexible pressure sensors for cardiovascular pulse waveforms monitoring, has potential applications in cuffless blood pressure measurement and early diagnosis of cardiovascular disease. High sensitivity, fast response time, good pressure resolution and a high signal-to-noise ratio are essential for effective pulse waveform detection. This review focuses on flexible capacitive and piezoresistive pressure sensors, which have seen significant enhancements due to their simple operation, superior performance, wide range of materials, and easy fabrication. The comparison of sensing methods for acquiring pulse waveforms from the wrist artery, device integration configurations, highquality pulse waveforms collection, and performance analysis of capacitive and piezoresistive sensors are discussed. The review also covers the use of machine learning for analyzing pulse waveforms for cardiovascular disease diagnosis and cuff-less blood pressure monitoring. Lastly, it provides perspectives on current challenges and further advancements in the field.
引用
收藏
页数:18
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