A Novel Smart-Shoe Architecture for Podiatric Monitoring

Faragó, Paul; Cirlugea, Mihaela; Hintea, Sorin

doi:10.1109/tsp49548.2020.9163549

Cited by 6 publications

(6 citation statements)

References 12 publications

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“…Further increases in force result in further decreases in resistance. It can be explained by the Equations ( 1 ) and ( 2 ), where a change in orientation of conduction path results in a change of R

, change in tunneling distance results in a change of R

, which in turn change the junction and deformation of MWCNT change in R

, which results in overall resistance decreases [ 28 ].…”

Section: Methodsmentioning

confidence: 99%

“…On the other hand, piezoresistive pressure sensors are easy to interface with peripheral circuits, less susceptible to noise and can miniaturize the sensors [ 23 ]. Earlier, commercial sensors called force-sensing resistor (FSR) were used in foot pressure measurement systems [ 24 , 25 , 26 , 27 , 28 ], which are ultra-thin, flexible, and have a low power consumption, such as FSR402, LDT0-028K. Investigations show that over time of use, they have been deformed, and their sensitivity was degraded.…”

Section: Introductionmentioning

confidence: 99%

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Flexible Ultra-Thin Nanocomposite Based Piezoresistive Pressure Sensors for Foot Pressure Distribution Measurement

Rajendran

Ramalingame

Palaniyappan

et al. 2021

Sensors

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Foot pressure measurement plays an essential role in healthcare applications, clinical rehabilitation, sports training and pedestrian navigation. Among various foot pressure measurement techniques, in-shoe sensors are flexible and can measure the pressure distribution accurately. In this paper, we describe the design and characterization of flexible and low-cost multi-walled carbon nanotubes (MWCNT)/Polydimethylsiloxane (PDMS) based pressure sensors for foot pressure monitoring. The sensors have excellent electrical and mechanical properties an show a stable response at constant pressure loadings for over 5000 cycles. They have a high sensitivity of 4.4 kΩ/kPa and the hysteresis effect corresponds to an energy loss of less than 1.7%. The measurement deviation is of maximally 0.13% relative to the maximal relative resistance. The sensors have a measurement range of up to 330 kPa. The experimental investigations show that the sensors have repeatable responses at different pressure loading rates (5 N/s to 50 N/s). In this paper, we focus on the demonstration of the functionality of an in-sole based on MWCNT/PDMS nanocomposite pressure sensors, weighing approx. 9.46 g, by investigating the foot pressure distribution while walking and standing. The foot pressure distribution was investigated by measuring the resistance changes of the pressure sensors for a person while walking and standing. The results show that pressure distribution is higher in the forefoot and the heel while standing in a normal position. The foot pressure distribution is transferred from the heel to the entire foot and further transferred to the forefoot during the first instance of the gait cycle.

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, change in tunneling distance results in a change of R

, which in turn change the junction and deformation of MWCNT change in R

, which results in overall resistance decreases [ 28 ].…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Flexible Ultra-Thin Nanocomposite Based Piezoresistive Pressure Sensors for Foot Pressure Distribution Measurement

Rajendran

Ramalingame

Palaniyappan

et al. 2021

Sensors

View full text Add to dashboard Cite

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“…where V CC is the supply voltage and V R is the 1 MΩ resistance voltage drop. The resistance voltage drops were read with the ATmega328P µC with a f s_FSR = 100 Hz sampling frequency and, after filtering with a second-order f c_FSR = 35 Hz cutoff frequency Butterworth lowpass filter for noise removal [1,26], the FSR resistance values were determined according to (1).…”

Section: Plantar Pressures Ssessmentmentioning

confidence: 99%

“…As an essential function of the human body, examination and treatment procedures of walking are directed towards the preservation and restauration of good body mechanics in posture and in movement. Indeed, good body mechanics requires adequate joint range of motion, normal flexibility, a good neuro-muscular control, and even a good proprioception, all built on a good and healthy posture [1,2].…”

Section: Introductionmentioning

confidence: 99%

“…This paper is an extended version of our paper published in 2020 43rd International Conference on Telecommunications and Signal Processing (TSP) [1]. In the respective work, we have proposed a smart-shoe architecture based on an array of resistive pressure sensors and an electromyogram (EMG) acquisition frontend, aiming for gait monitoring in the context of activity.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Wearable Foot and Ankle Monitoring System for the Assessment of Gait Biomechanics

2020

Self Cite

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Walking is the most basic form of human activity for achieving mobility. As an essential function of the human body, the examination of walking is directed towards the assessment of body mechanics in posture and during movement. This work proposes a wearable smart system for the monitoring and objective evaluation of foot biomechanics during gait. The proposed solution assumes the cross-correlation of the plantar pressure with lower-limb muscular activity, throughout the stance phase of walking. Plantar pressure is acquired with an array of resistive pressure sensors deployed onto a shoe insole along the center of gravity progression line. Lower-limb muscular activity is determined from the electromyogram of the tibialis anterior and gastrocnemius lower limb muscles respectively. Under this scenario, physiological gait assumes the interdependency of plantar pressure on the heel area with activation of the tibialis anterior, as well as plantar pressure on the metatarsal arch/toe area with activation of the gastrocnemius. As such, assessment of gait physiology is performed by comparison of a gait map, formulated based on the footprint–lower-limb muscle cross-correlation results, to a reference gait template. A laboratory proof of concept validates the proposed solution in a test scenario which assumes a normal walking and two pathological walking patterns.

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