A Triboelectric Nanogenerator-Based Electromechanical Synchronized Sensing Probe for Simultaneous Detection of Cardiac Physiological Activities

Cardiovascular diseases are recognized as the leading global cause of mortality and disability, where elucidating electromechanical coupling is critical for early diagnosis and treatment. However, current technologies have been limited by the lack of synchronous acquisition of cardiac electrical and mechanical signals, restricting the quantitative evaluation of severe clinical complications such as electromechanical dissociation. In this work, an electromechanical synchronized sensing probe was developed by integrating a triboelectric nanogenerator (TENG)-based pressure sensor with a microelectrode array on a flexible patch. Stainless-steel springs and flexible polyimide substrates were employed to establish cardiac curvature-adaptive interfaces, enabling stable dual-modal signal acquisition. The device utilized a micropillar structure and corona enhancement to strengthen the triboelectric effect, achieving a detection limit of 0.6 kPa, a sensitivity of 0.14 nA/kPa, and a rapid response within the 1.8-7.2 Hz strain frequency range, maintaining stable performance over 100,000 cycles. In addition, a low-noise customized hardware circuitry was designed to achieve real-time synchronized signal capture, with interchannel crosstalk below effective thresholds, allowing accurate quantification of electromechanical delay and repolarization abnormalities. In human radial artery tests, the system successfully synchronized the acquisition of electrocardiogram and pulse signals, enabling heart rate variability analysis and dynamic blood pressure estimation based on pulse transit time. In rat models, progressive electromechanical decoupling and repolarization instability were captured under surgical stress conditions. Overall, this flexible TENG-MEA platform provided a high-fidelity and multifunctional tool for real-time cardiac electromechanical monitoring, offering a promising approach for investigating arrhythmogenesis and facilitating early diagnosis of cardiomyopathies.

Authors

Institutions

Publication Details

Journal
ACS Sensors
Published
2026-03-23
DOI
https://doi.org/10.1021/acssensors.5c04012
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Triboelectric Nanogenerator-Based Electromechanical Synchronized Sensing Probe for Simultaneous Detection of Cardiac Physiological Activities

Wenhao Xia, Ling Gao, Zhenchang Huang, S. K. Liu et al.
ACS Sensors
Advanced Sensor and Energy Harvesting Materials
article

A Triboelectric Nanogenerator-Based Electromechanical Synchronized Sensing Probe for Simultaneous Detection of Cardiac Physiological Activities

Wenhao Xia, Ling Gao, Zhenchang Huang, S. K. Liu, Xi Xie, Xinshuo Huang, Chonglin Wang, Yong Li, Hao Chen, Y. Cai, Chuanjie Yao, Siqi Gao, Minghao Li, Tao Zhang, Xingyuan Xu
article en

Abstract

Cardiovascular diseases are recognized as the leading global cause of mortality and disability, where elucidating electromechanical coupling is critical for early diagnosis and treatment. However, current technologies have been limited by the lack of synchronous acquisition of cardiac electrical and mechanical signals, restricting the quantitative evaluation of severe clinical complications such as electromechanical dissociation. In this work, an electromechanical synchronized sensing probe was developed by integrating a triboelectric nanogenerator (TENG)-based pressure sensor with a microelectrode array on a flexible patch. Stainless-steel springs and flexible polyimide substrates were employed to establish cardiac curvature-adaptive interfaces, enabling stable dual-modal signal acquisition. The device utilized a micropillar structure and corona enhancement to strengthen the triboelectric effect, achieving a detection limit of 0.6 kPa, a sensitivity of 0.14 nA/kPa, and a rapid response within the 1.8-7.2 Hz strain frequency range, maintaining stable performance over 100,000 cycles. In addition, a low-noise customized hardware circuitry was designed to achieve real-time synchronized signal capture, with interchannel crosstalk below effective thresholds, allowing accurate quantification of electromechanical delay and repolarization abnormalities. In human radial artery tests, the system successfully synchronized the acquisition of electrocardiogram and pulse signals, enabling heart rate variability analysis and dynamic blood pressure estimation based on pulse transit time. In rat models, progressive electromechanical decoupling and repolarization instability were captured under surgical stress conditions. Overall, this flexible TENG-MEA platform provided a high-fidelity and multifunctional tool for real-time cardiac electromechanical monitoring, offering a promising approach for investigating arrhythmogenesis and facilitating early diagnosis of cardiomyopathies.

ACS Sensors
Sun Yat-sen University (CN), Hypertension Canada (CA), Key Laboratory of Guangdong Province (CN), Zhujiang Hospital (CN), The First Affiliated Hospital, Sun Yat-sen University (CN), Hypertension Institute (US), First Affiliated Hospital of Jinan University (CN), State Key Laboratory of Optoelectronic Materials and Technology, Southern Medical University (CN)
Good health and well-being
Openalex Percentile: Top 12%
Advanced Sensor and Energy Harvesting Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.