Non-Invasive Insole Optical Fiber Sensor Architecture for Monitoring Foot Anomalies

Domingues, M. Fátima; Tavares, Cátia; Alberto, Nélia; Leitão, Cátia; Antunes, Paulo; André, Paulo; Lima, Eduardo Rocón de; Sucasas, Victor; Radwan, Ayman; Rodrı́guez, Jonathan

doi:10.1109/glocom.2017.8255026

Cited by 7 publications

(16 citation statements)

References 20 publications

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“…Vertical force sensors are nowadays required for a wide number of applications, in diverse areas such as industrial production and structural health monitoring, artificial intelligence, robotic exoskeletons and other health applications [2][3][4], [8][9][10][11][12][13][14][15]. There are several types of F V sensors, which are characterized essentially by the transduction mechanisms and technology used for converting forces into electrical signals, such as piezo resistivity and capacitance [10,[13][14][15].…”

Section: Related Workmentioning

confidence: 99%

“…There are several types of F V sensors, which are characterized essentially by the transduction mechanisms and technology used for converting forces into electrical signals, such as piezo resistivity and capacitance [10,[13][14][15]. In addition to these electronic mechanisms, other transduction methods, as OFSs are also frequently used for the measurement of these type of forces [2][3][4]16].…”

Section: Related Workmentioning

confidence: 99%

“…Specifically, sensors capable of measuring F V and F S simultaneously are highly required for haptic perception of robotic hands, prosthetic skin and to monitor the stress under the foot to prevent its ulceration [2][3][4][17][18][19][20][21][22][23].…”

Section: Related Workmentioning

confidence: 99%

“…Basically, e-Health is seen as an approach to help elder generations and patients with chronic illness to live an active life, without comprising their mobility or daily routine. Following this direction and towards improving the quality of life of physically impaired citizens by increasing their mobility, our team has been working in different practical solutions for continuous remote monitoring of patients [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

“…Our previous efforts have concentrated on the pressure distribution, through a strategically placed network of optical fiber sensors (OFSs) [2][3][4]. In the presented work, we take a step forward by presenting the design and implementation of a fiber Bragg grating (FBG)-based platform, for simultaneous measurement of shear and vertical forces, which can be useful in various applications, in addition to e-Health.…”

Section: Introductionmentioning

confidence: 99%

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Insole Optical Fiber Sensor Architecture for Remote Gait Analysis—An e-Health Solution

Domingues

Alberto

Leitão

et al. 2019

IEEE Internet Things J.

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Abstract-In an era of unprecedented progress in sensing technology and communications, health services are able to evolve towards a close monitoring of patients and elderly citizens, without jeopardizing their daily routines, through health applications on their mobile devices, in what is known as e-Health. Within this field, we propose an optical fiber sensor (OFS) based system for simultaneous monitoring of shear and plantar pressure during gait movement. These parameters are considered to be two key factors in gait analysis which can help in early diagnosis of multiple anomalies, such as diabetic foot ulcerations or in physical rehabilitation scenarios.The proposed solution is a biaxial OFS based on two in-line fiber Bragg gratings (FBGs), which were inscribed in the same optical fiber and placed individually in two adjacent cavities, forming a small sensing cell. Such design presents a more compact and resilient solution with higher accuracy, when compared to the existing electronic systems.The implementation of the proposed elements into an insole is also described, showing the compactness of the sensing cells, which can be easily integrated into a non-invasive mobile e-Health solution for a continuous remote gait analysis of patients and elder citizens. The reported results show that the proposed system outperforms existing solutions, in the sense that it is able to dynamically discriminate shear and plantar pressure during gait.

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