Propylene Glycol‐Assisted Printing of Graphene Piezoresistive Sensor Array for Analytical Motion Tracking and Spinal Kinetics Monitoring

Continuous monitoring of spinal kinematics is crucial for posture correction and rehabilitation, yet conventional approaches like radiological imaging and camera-based motion capture are limited by snapshot-only information and the reliance on specialized medical equipment. Wearable sensor arrays enable spinal monitoring by tracking the critical muscular deformation, while the inter-channel discrepancies within a sensor array usually leads to compromised accuracy in deformation mapping. Herein, we report a graphene-based piezoresistive sensor array with minimized inter-channel discrepancy (4.12% difference in baseline resistance across 8 channels) for spinal monitoring. The high inter-channel consistency is achieved through a printing-and-transfer methodology employing photo paper as the intermediate substrate, which overcome the intrinsic incompatibility between graphene dispersion and stretchable polydimethylsiloxane (PDMS) substrate for homogeneous film deposition. Moreover, propylene glycol (PG) is applied as the ink-engineering additive, which not only improve the printability of graphene dispersion, but also enable a high-yield film transfer from photo paper to PDMS substrate through forming an interim layer at the graphene-photo paper interface. For spinal kinetics monitoring, the sensor array could differentiate 6 trunk postures with a classification accuracy of 95.4% using machine learning algorithm. This work provides a scalable platform for daily spinal health tracking, enabling disease prevention and rehabilitation monitoring.

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Small
Published
2026-09-25
DOI
https://doi.org/10.1002/smll.75826
Primary Topic
Advanced Sensor and Energy Harvesting Materials
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article
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article

Propylene Glycol‐Assisted Printing of Graphene Piezoresistive Sensor Array for Analytical Motion Tracking and Spinal Kinetics Monitoring

Jidong Shi, Minkun Cai, Huang Chaoshuo, Yuming He et al.
Small
Advanced Sensor and Energy Harvesting Materials
article

Propylene Glycol‐Assisted Printing of Graphene Piezoresistive Sensor Array for Analytical Motion Tracking and Spinal Kinetics Monitoring

Jidong Shi, Minkun Cai, Huang Chaoshuo, Yuming He, Xingyi Li, Yupeng Chen, Jiahui Lu, Lingyu Zhao, Fang Xu, Siqi Lu
article en

Abstract

Continuous monitoring of spinal kinematics is crucial for posture correction and rehabilitation, yet conventional approaches like radiological imaging and camera-based motion capture are limited by snapshot-only information and the reliance on specialized medical equipment. Wearable sensor arrays enable spinal monitoring by tracking the critical muscular deformation, while the inter-channel discrepancies within a sensor array usually leads to compromised accuracy in deformation mapping. Herein, we report a graphene-based piezoresistive sensor array with minimized inter-channel discrepancy (4.12% difference in baseline resistance across 8 channels) for spinal monitoring. The high inter-channel consistency is achieved through a printing-and-transfer methodology employing photo paper as the intermediate substrate, which overcome the intrinsic incompatibility between graphene dispersion and stretchable polydimethylsiloxane (PDMS) substrate for homogeneous film deposition. Moreover, propylene glycol (PG) is applied as the ink-engineering additive, which not only improve the printability of graphene dispersion, but also enable a high-yield film transfer from photo paper to PDMS substrate through forming an interim layer at the graphene-photo paper interface. For spinal kinetics monitoring, the sensor array could differentiate 6 trunk postures with a classification accuracy of 95.4% using machine learning algorithm. This work provides a scalable platform for daily spinal health tracking, enabling disease prevention and rehabilitation monitoring.

Small
Southern University of Science and Technology (CN), Shenzhen Technology University (CN), South China University of Technology (CN)
Good health and well-being
Openalex Percentile: Top 22%
Advanced Sensor and Energy Harvesting Materials
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