journal article·2025-07-08

A Wearable Dual-Modal Patch for Rapid Pre-Hospital Diagnosis of Acute Myocardial Infarction

Kuo Yang, Qianqian Dong, Zhibing Yao, Jingjing Liang, Jinjin Zhao, Lei Wu, Shenfei Zong, Yiping Cui, Zhuyuan Wang

ACS Nano· Volume 19· Issue 26
Publisher page

Abstract

Timely diagnosis of acute myocardial infarction (AMI) during the prehospital phase is crucial to decrease mortality rates. Given that certain patients may not exhibit typical alterations in their electrocardiogram (ECG) patterns during the initial phases, the diagnosis of AMI is typically achieved by simultaneously assessing ECG results and myocardial injury biomarkers. This procedure requires the use of specialized equipment and trained personnel that are only available in hospitals, which may lead to possible delays of several hours. The development of a device that can detect both ECG and acute myocardial injury markers in the prehospital setting remains a significant challenge. In this study, a wearable dual-modal patch that combines a surface-enhanced Raman scattering (SERS) microneedle array with flexible electronics is introduced for the prehospital diagnosis of AMI. The patch allows for the noninvasive and rapid monitoring of both ECG and the levels of three myocardial injury markers in the interstitial fluid (ISF) by a portable Raman spectrometer, in accordance with the established clinical standard. This strategy was validated through experiments conducted on rats induced with AMI. The time required for diagnosing ischemia was significantly reduced to 50 min after its onset. The patch is optimally integrated into a stamp-sized band-aid, accompanied by a smartphone app for data visualization and real-time analysis. This initiative aims to facilitate the prompt delivery of interventions to reduce ischemic events.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Non-Invasive Vital Sign Monitoring · Spectroscopy Techniques in Biomedical and Chemical Research · Advanced Sensor and Energy Harvesting Materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Advanced Photonics Center, School of Electronic Science and Engineering

Southeast University

Funding

National Natural Science Foundation of China · Southeast University

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