Multiplexing technique for quasi-distributed sensors arrays in polymer optical fiber intensity variation-based sensors

2019 ◽  
Vol 111 ◽  
pp. 81-88 ◽  
Author(s):  
Arnaldo G. Leal-Junior ◽  
Camilo R. Díaz ◽  
Carlos Marques ◽  
Maria José Pontes ◽  
Anselmo Frizera
Sensors ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 3356 ◽  
Author(s):  
Leticia M. Avellar ◽  
Arnaldo G. Leal-Junior ◽  
Camilo A. R. Diaz ◽  
Carlos Marques ◽  
Anselmo Frizera

This paper presents the development of a smart carpet based on polymer optical fiber (POF) for ground reaction force (GRF) and spatio-temporal gait parameter assessment. The proposed carpet has 20 intensity variation-based sensors on one fiber with two photodetectors for acquisition, each one for the response of 10 closer sensors. The used multiplexing technique is based on side-coupling between the light sources and POF lateral sections in which one light-emitting diode (LED) is activated at a time, sequentially. Three tests were performed, two for sensor characterization and one for validation of the smart carpet, where the first test consisted of the application of calibrated weights on the top of each sensor for force characterization. In the second test, the foot was positioned on predefined points distributed on the carpet, where a mean relative error of 2.9% was obtained. Results of the walking tests on the proposed POF-embedded smart carpet showed the possibility of estimating the GRF and spatio-temporal gait parameters (step and stride lengths, cadence, and stance duration). The obtained results make possible the identification of gait events (stance and swing phases) as well as the stance duration and double support periods. The proposed carpet is a low-cost and reliable tool for gait analysis in different applications.


Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3199
Author(s):  
Arnaldo Leal-Junior ◽  
Leticia Avellar ◽  
Jonathan Jaimes ◽  
Camilo Díaz ◽  
Wilian dos Santos ◽  
...  

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.


2021 ◽  
Vol 61 ◽  
pp. 102441
Author(s):  
Bar Gelkop ◽  
Linoy Aichnboim ◽  
Dror Malka

2021 ◽  
pp. 1-1
Author(s):  
Leticia Avellar ◽  
Gabriel Delgado ◽  
Eduardo Rocon ◽  
Carlos Marques ◽  
Anselmo Frizera ◽  
...  

2005 ◽  
Vol 23 (6) ◽  
pp. 2062-2072 ◽  
Author(s):  
K. Makino ◽  
T. Nakamura ◽  
T. Ishigure ◽  
Y. Koike

2021 ◽  
Vol 63 ◽  
pp. 102481
Author(s):  
Abdul Ghaffar ◽  
Mujahid Mehdi ◽  
YanYun Hu ◽  
Arnaldo G. Leal-Junior ◽  
Abdul Basit ◽  
...  

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