材料科学
脉搏(音乐)
压力(语言学)
吸盘
脉冲压力
激发
血压
计算机科学
仿生学
脉冲波
信号(编程语言)
振荡(细胞信号)
压力传感器
声学
特征(语言学)
可扩展性
生物医学工程
舒张期
传感器
远程病人监护
人工智能
模式识别(心理学)
作者
Yiqian Wang,Yang Zou,Jiangtao Xue,Zhenmin Fan,Puchuan Tan,Minghao Liu,Peng Cheng,Han Ouyang,Yifan Fan,Aiping Liu,Yulin Deng,Zhou Li
标识
DOI:10.1002/adfm.202514598
摘要
Abstract Personalized cardiovascular monitoring plays an critical role in early detection and management of cardiovascular diseases. However, current noninvasive monitoring methods face challenges of unstable sensor‐skin interfaces, physiological and anatomical differences, and difficulty in balancing accuracy and comfort. Here, inspired by octopus suckers' mechanics, we present a biomimetic epidermal sensing sucker (BESS) that integrates conformal physiological sensing with in situ pressure modulation. The stable attachment to the arterial site is achieved through negative‐pressure adsorption, while the amplitude of the pulse signal is enhanced for optimal detection via adaptive pressure modulation, effectively addressing interindividual variability. Drawing on Traditional Chinese Medicine pulse palpation, BESS applies incremental vertical pressure to induce stress excitation in local arterial vessels, capturing pulse oscillation waves and quantifying traditional pulse diagnostic information. Leveraging the enriched pulse features acquired by BESS, a cuffless blood pressure (BP) estimation system is developed by integrating classical oscillometry with pulse wave feature analysis through machine learning, achieving high accuracy (1.36 ± 3.81 mmHg for systolic BP and 1.15 ± 2.94 mmHg for diastolic BP) without occluding arterial blood flow. The interdisciplinary integration of biomimetics and intelligent sensing technology provides a promising pathway for personalized cardiovascular monitoring with balanced accuracy, comfort, and interpretability.
科研通智能强力驱动
Strongly Powered by AbleSci AI