@article{Xu2026, 
author = {Tianrun Xu and Jin Ji and Chongyuan Huang and Yiming Chen and Peng Zhao and Jizhou Song},
title = {A Large‐Area, Stretchable Accelerometer Array for Spatial Assessment of Chest Compressions in Cardiopulmonary Resuscitation},
year = {2026},
journal = {FlexTech},
volume = {2},
number = {1},
pages = {4-13},
keywords = {accelerometer array, cardiopulmonary resuscitation, chest compression depth, stretchable electronics, wearable sensors},
url = {https://www.sciopen.com/article/10.1002/fle2.70009},
doi = {10.1002/fle2.70009},
abstract = {High‐quality chest compressions are vital for successful cardiopulmonary resuscitation (CPR). Existing manual and mechanical compression methods suffer from unstable quality, lack of real‐time feedback, and insufficient personalized adjustment. Here, we report a large‐area, stretchable accelerometer array with the capability to monitor multi‐point compression depth across the chest and achieve the cross‐sectional chest contour at the peak compression. The proposed accelerometer array features stretchable discrete stiff island design and exhibits good mechanical adaptability to enable conformal contact with the chest region. A chest compression depth estimation algorithm based on triaxial acceleration data is developed to predict the compression depth. Moreover, a peak‐averaging‐based contour construction method is proposed to construct the deformed chest contour. The predicted compression depth and chest contour agree well with experimental measurements in both simple hollow semi‐cylinder and complex adult manikin systems, demonstrating that the accelerometer array exhibits high spatiotemporal resolution in multi‐point chest compression monitoring and dynamic tracking of thoracic deformation patterns. These results offer high spatiotemporal resolution for multi‐point deformation tracking, providing key technical support for advancing the CPR feedback technologies.}
}