A Wireless and Passive Flexible Pressure Sensor with High Sensitivity and Wide Range for Rehabilitation Monitoring

This work introduces a wireless, passive, and flexible pressure sensor by combining a radio frequency (RF) sensor with a porous polymer. The porous Ecoflex with tunable porosity and interconnectivity is fabricated by the sacrificial template method, which exhibits superior mechanical compressibility and highly reversible deformation behavior. Then, this porous Ecoflex was sandwiched by flexible electrodes and leveraged electromagnetic coupling for wireless signal transmission to construct a passive pressure sensor. A remarkable sensitivity of 3.04 kPa/MHz across an ultrawide pressure range from 0 to 700 kPa was achieved when the mass ratio of Ecoflex to NaCl was 1:2. It also demonstrates a fast response, excellent cycling stability, and the ability to detect subtle pressure change. Practical applications demonstrate that the sensor can accurately capture motion characteristics during upper limb rehabilitation training, allowing real-time monitoring of multidimensional movements such as wrist flexion and extension and forearm rotation. Moreover, an intelligent recognition system based on this sensor is developed, which achieves 99% accuracy in handwritten digit recognition by integrating neural network models. This research presents a viable strategy for developing next-generation wearable medical devices and intelligent human–machine interfaces.

Authors

Institutions

Publication Details

Journal
ACS Applied Polymer Materials
Published
2026-02-02
DOI
https://doi.org/10.1021/acsapm.5c04142
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 Wireless and Passive Flexible Pressure Sensor with High Sensitivity and Wide Range for Rehabilitation Monitoring

Chengxue Hu, Mingyang Yan, Jiahui Wu, Xiaofeng Gu et al.
ACS Applied Polymer Materials
Advanced Sensor and Energy Harvesting Materials
article

A Wireless and Passive Flexible Pressure Sensor with High Sensitivity and Wide Range for Rehabilitation Monitoring

Chengxue Hu, Mingyang Yan, Jiahui Wu, Xiaofeng Gu, Yi-Xiang Wang, Enkang Wu, Junge Liang, Xiaoqing Yang
article en

Abstract

This work introduces a wireless, passive, and flexible pressure sensor by combining a radio frequency (RF) sensor with a porous polymer. The porous Ecoflex with tunable porosity and interconnectivity is fabricated by the sacrificial template method, which exhibits superior mechanical compressibility and highly reversible deformation behavior. Then, this porous Ecoflex was sandwiched by flexible electrodes and leveraged electromagnetic coupling for wireless signal transmission to construct a passive pressure sensor. A remarkable sensitivity of 3.04 kPa/MHz across an ultrawide pressure range from 0 to 700 kPa was achieved when the mass ratio of Ecoflex to NaCl was 1:2. It also demonstrates a fast response, excellent cycling stability, and the ability to detect subtle pressure change. Practical applications demonstrate that the sensor can accurately capture motion characteristics during upper limb rehabilitation training, allowing real-time monitoring of multidimensional movements such as wrist flexion and extension and forearm rotation. Moreover, an intelligent recognition system based on this sensor is developed, which achieves 99% accuracy in handwritten digit recognition by integrating neural network models. This research presents a viable strategy for developing next-generation wearable medical devices and intelligent human–machine interfaces.

ACS Applied Polymer MaterialsVol. 8(3)
Jiangnan University (CN), Kwangwoon University (KR), Bio-Medical Science (South Korea) (KR)
Openalex Percentile: Top 70%
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.