Abstract

Advances in robotic systems for rehabilitation purposes have led to the development of specialized robot-assisted rehabilitation clinics. In addition, advantageous features of polymer optical fiber (POF) sensors such as light weight, multiplexing capabilities, electromagnetic field immunity and flexibility have resulted in the widespread use of POF sensors in many areas. Considering this background, this paper presents an integrated POF intensity variation-based sensor system for the instrumentation of different devices. We consider different scenarios for physical rehabilitation, resembling a clinic for robot-assisted rehabilitation. Thus, a multiplexing technique for POF intensity variation-based sensors was applied in which an orthosis for flexion/extension movement, a modular exoskeleton for gait assistance and a treadmill were instrumented with POF angle and force sensors, where all the sensors were integrated in the same POF system. In addition, wearable sensors for gait analysis and physiological parameter monitoring were also proposed and applied in gait exercises. The results show the feasibility of the sensors and methods proposed, where, after the characterization of each sensor, the system was implemented with three volunteers: one for the orthosis on the flexion/extension movements, one for the exoskeleton for gait assistance and the other for the free gait analysis using the proposed wearable POF sensors. To the authors’ best knowledge, this is the first time that optical fiber sensors have been used as a multiplexed and integrated solution for the simultaneous assessment of different robotic devices and rehabilitation protocols, where such an approach results in a compact, fully integrated and low-cost system, which can be readily employed in any clinical environment.

Highlights

  • The advances in rehabilitation therapies have been driven by the disruptive technologies with advances in the medicine and robotics fields, and by the increase in the life expectancy of the general population [1]

  • In the context of a rehabilitation clinic, where all the aforementioned rehabilitation approaches will be integrated in the same room, the first and the second scenarios are instrumented with a single polymer optical fiber (POF) cable in order to increase the system integration, compactness and cost-effectiveness

  • This paper presented the development of an integrated solution based on POFs for the instrumentation of multiple robotic devices for physical rehabilitation as well as wearable sensors for gait analysis

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Summary

Introduction

The advances in rehabilitation therapies have been driven by the disruptive technologies with advances in the medicine and robotics fields, and by the increase in the life expectancy of the general population [1]. If polymer optical fibers (POFs) are analyzed, there are additional advantages related to their material features These advantages include higher flexibility, higher strain limits, a lower Young’s modulus (leads to higher sensor sensitivity to mechanical loadings) and higher fracture toughness [16], which make these fibers suitable for the instrumentation of soft actuator structures that require a flexible sensing solution with electromagnetic field immunity. In order to obtain a low-cost solution for exoskeleton instrumentation using POFs, the intensity variation-based principle was used for the development of sensor systems for wearable robots, where the possibility of measuring joint angles [21], human–robot interaction forces [22], ground reaction forces (GRFs) [23] and microclimate conditions [24] was demonstrated. Such a novel approach opens up new avenues for integrated instrumentation at a robot-assisted rehabilitation clinic, where a single optical fiber cable can be used in the instrumentation of all robotic devices, which leads to a substantial reduction in the cost and size of the systems

Instrumentation System Design and Operation Principle
POF Sensor System Characterization
Implementation of the POF-Instrumented Robot-Assisted Rehabilitation Clinic
Findings
Conclusions
Full Text
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