A Biomimetic Epidermal Sensing Sucker via Stress Excitation for Personalized Cardiovascular Monitoring
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.
Authors
- Yang Zou (ORCID: https://orcid.org/0000-0003-2557-4230)
- Yifan Fan (ORCID: https://orcid.org/0000-0001-9034-6483)
- Puchuan Tan (ORCID: https://orcid.org/0000-0002-3218-5332)
- Han Ouyang (ORCID: https://orcid.org/0000-0002-5469-8235)
- Jiangtao Xue (ORCID: https://orcid.org/0000-0002-8788-6435)
- Zhou Li (ORCID: https://orcid.org/0000-0002-9952-7296)
- Yiqian Wang (ORCID: https://orcid.org/0000-0001-8827-1566)
- Yulin Deng (ORCID: https://orcid.org/0000-0002-0720-4052)
- Minghao Liu (ORCID: https://orcid.org/0000-0003-0767-1715)
- Aiping Liu (ORCID: https://orcid.org/0000-0002-2515-5522)
- Peng Cheng (ORCID: https://orcid.org/0000-0002-8117-9748)
- Zhenmin Fan (ORCID: https://orcid.org/0000-0001-9769-8107)
Institutions
- Beijing Institute of Technology (CN)
- University of Science and Technology of China (CN)
- Guangxi University (CN)
- Chinese University of Hong Kong (HK)
- Chinese Academy of Sciences (CN)
- Beijing Chao-Yang Hospital, Capital Medical University (CN)
- Beijing Institute of Nanoenergy and Nanosystems (CN)
- Jiangsu University of Technology (CN)
- Beijing Tsinghua Chang Gung Hospital (CN)
- Beijing Chaoyang Emergency Medical Center (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Advanced Functional Materials
- Published
- 2025-09-25
- DOI
- https://doi.org/10.1002/adfm.202514598
- Citations
- 1
- Primary Topic
- Non-Invasive Vital Sign Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.67