Deformable Sensors for Pressure and Position Assessment Using Time-Domain Reflectometry in Motor Rehabilitation

This work presents the design and preliminary experimental validation of deformable sensors based on time-domain reflectometry (TDR) for rehabilitation-oriented interaction monitoring. Three architectures were investigated: a planar multilayer sensor and two coaxial configurations based on foam and engineered TPU–Hilbert structures. Controlled indentation tests were performed at different positions and deformation levels, extracting two TDR-derived features: the minimum reflection coefficient ρmin, related to deformation intensity, and the perturbation time tpert, related to contact localization. Preliminary calibration curves and two-dimensional maps were used to analyze the coupled dependence of the response on position and indentation depth. Application-oriented manual tests confirmed the different suitability of the three geometries for localized finger pressing, distributed two-hand grasping, and controlled single-hand squeezing. Overall, the results support TDR-based deformable sensors as low-complexity and geometry-adaptable tools for spatially resolved monitoring of motor rehabilitation interactions.

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Journal
Sensors
Published
2026-07-26
DOI
https://doi.org/10.3390/s26154732
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
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article

Deformable Sensors for Pressure and Position Assessment Using Time-Domain Reflectometry in Motor Rehabilitation

Giuseppina Monti, Erika Pittella, Emanuele Piuzzi, Andrea Cataldo et al.
Sensors
Advanced Sensor and Energy Harvesting Materials
article

Deformable Sensors for Pressure and Position Assessment Using Time-Domain Reflectometry in Motor Rehabilitation

Giuseppina Monti, Erika Pittella, Emanuele Piuzzi, Andrea Cataldo, Antonio Masciullo, Raissa Schiavoni
article en

Abstract

This work presents the design and preliminary experimental validation of deformable sensors based on time-domain reflectometry (TDR) for rehabilitation-oriented interaction monitoring. Three architectures were investigated: a planar multilayer sensor and two coaxial configurations based on foam and engineered TPU–Hilbert structures. Controlled indentation tests were performed at different positions and deformation levels, extracting two TDR-derived features: the minimum reflection coefficient ρmin, related to deformation intensity, and the perturbation time tpert, related to contact localization. Preliminary calibration curves and two-dimensional maps were used to analyze the coupled dependence of the response on position and indentation depth. Application-oriented manual tests confirmed the different suitability of the three geometries for localized finger pressing, distributed two-hand grasping, and controlled single-hand squeezing. Overall, the results support TDR-based deformable sensors as low-complexity and geometry-adaptable tools for spatially resolved monitoring of motor rehabilitation interactions.

SensorsVol. 26(15)
University of Salento (IT), Sapienza University of Rome (IT)
Good health and well-being
Openalex Percentile: Top 16%
Advanced Sensor and Energy Harvesting Materials
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Deformable Sensors for Pressure and Position Assessment Using Time-Domain Reflectometry in Motor Rehabilitation — Giuseppina Monti, Erika Pittella, et al. · Sensors (2026) | TGRS Research Map | TGRS