scholarly journals Foot Modeling and Smart Plantar Pressure Reconstruction from Three Sensors

2014 ◽  
Vol 8 (1) ◽  
pp. 84-92 ◽  
Author(s):  
Hussein Abou Ghaida ◽  
Serge Mottet ◽  
Jean-Marc Goujon
Keyword(s):  
Pressure Distribution ◽  
Plantar Pressure ◽  
Soft Tissues ◽  
Pressure Sensors ◽  
Biomechanical Model ◽  
Standing Position ◽  
Average Error ◽  
Pressure Measurements ◽  
Human Foot ◽  
Plantar Pressure Distribution

In order to monitor pressure under feet, this study presents a biomechanical model of the human foot. The main elements of the foot that induce the plantar pressure distribution are described. Then the link between the forces applied at the ankle and the distribution of the plantar pressure is established. Assumptions are made by defining the concepts of a 3D internal foot shape, which can be extracted from the plantar pressure measurements, and a uniform elastic medium, which describes the soft tissues behaviour. In a second part, we show that just 3 discrete pressure sensors per foot are enough to generate real time plantar pressure cartographies in the standing position or during walking. Finally, the generated cartographies are compared with pressure cartographies issued from the F-SCAN system. The results show 0.01 daN (2% of full scale) average error, in the standing position.

scholarly journals Plantar Pressure Distribution among Older Persons with Different Types of Foot and Its Correlation with Functional Reach Distance

Scientifica ◽  
2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Aisyah Mohd Said ◽  
Maria Justine ◽  
Haidzir Manaf
Keyword(s):  
Pressure Distribution ◽  
Plantar Pressure ◽  
Older Persons ◽  
Rank Correlation ◽  
Community Dwelling ◽  
Human Foot ◽  
Functional Reach ◽  
Plantar Pressure Distribution ◽  
Foot Posture ◽  
Post Hoc

Background.Changes in biomechanical structures of human foot are common in the older person, which may lead to alteration of foot type and plantar pressure distribution. We aimed to examine how foot type affects the plantar pressure distribution and to determine the relationship between plantar pressure distribution and functional reach distance in older persons.Methods.Fifty community-dwelling older persons (age:69.98±5.84) were categorized into three groups based on the Foot Posture Index. The plantar pressure (max⁡P) and contact area were analyzed using Footscan® RSScan platform. The Kruskal-Wallis test was used to compare the plantar pressure between foot types and Spearman’s correlation coefficient was used to correlate plantar pressure with the functional reach distance.Results.There were significant differences ofmax⁡Pin the forefoot area across all foot types. The post hoc analysis found significantly lowermax⁡Pin the pronated foot compared to the supinated foot. A high linear rank correlation was found between functional reach distance andmax⁡Pof the rearfoot region of the supinated foot.Conclusions.These findings suggested that types of the foot affect the plantar maximal pressure in older persons with functional reach distance showing some associations.

A portable plantar pressure system: Specifications, design, and preliminary results

2020 ◽  
Vol 28 (5) ◽  
pp. 553-560
Author(s):  
Michal Ostaszewski ◽  
Jolanta Pauk ◽  
Kacper Lesniewski
Keyword(s):  
Healthy Volunteer ◽  
Pressure Distribution ◽  
Plantar Pressure ◽  
Pressure Sensors ◽  
Pressure System ◽  
Distribution Measurement ◽  
Plantar Pressure Distribution ◽  
Portable System ◽  
Linearity Error ◽  
The Difference

BACKGROUND: In recent years, there has been an increasing interest in developing in-shoe foot plantar pressure systems. Although such devices are not novel, devising insole devices for gait analysis is still an important issue. OBJECTIVE: The goal of this study is to develop a new portable system for plantar pressure distribution measurement based on a three-axis accelerometer. METHODS: The portable system includes: PJRC Teensy 3.6 microcontroller with 32-bit ARM Cortex-M4 microprocessor with a clock speed of 180 MHz; HC-11 radio modules (transmitter and receiver); a battery; a fixing band; pressure sensors; MPU-9150 inertial navigation module; and FFC tape. The pressure insole is leather-based and consists of seven layers. It is divided into 16 areas and the outcome of the system is data concerning plantar pressure distribution under foot during gait. The system was tested on 22 healthy volunteer subjects, and the data was compared with a commercially available system: Medilogic. RESULT: The SNR value for the proposed sensor is 28.27 dB. For a range of pressure of 30–100 N, the sensitivity is 0.0066 V/N while the linearity error is 0.05. The difference in plantar pressure from both the portable plantar pressure system and Medilogic is not statistically significant. CONCLUSION: The proposed system could be recommended for research applications both inside and outside of a typical gait laboratory.

scholarly journals THE RELATIONSHIP OF THE FOOT AND ANKLE STRUCTURE WITH OVERUSE INJURIES IN LICENSED FOOTBALLERS, A PROSPECTIVE COHORT

2020 ◽  
Author(s):  
ali sahillioglu ◽  
lale cerrahoglu
Keyword(s):  
Pressure Distribution ◽  
Plantar Pressure ◽  
Joint Hypermobility ◽  
Overuse Injuries ◽  
Pressure Measurements ◽  
Foot And Ankle ◽  
Ankle Eversion ◽  
Plantar Pressure Distribution ◽  
Foot Posture ◽  
One Year

The main purpose of this study was to compare the values determined in the clinical examination of the foot and ankle and the plantar pressure measurements of the foot in athletes who developed an overuse-type disability and in athletes who did not develop overuse-type disability, and was to find factors that might predispose to disability, during the one-year follow-up. 100 licensed football players were included in the study. Presence of joint hypermobility, foot posture assessment, ankle and first metatarsophalangeal (MTP) joint range of motion (ROM) measurements, pedobarographic plantar pressure assessment of foot was carried out. Then, the footballers were followed for 12 months for the development of new foot and ankle overuse injuries and the clinical and pedobarographic data of the footballers with at least one injury were compared with the group without injury. We found asymmetric pressure distribution between the preferred and non-preferred foot in the group who had an injury in the pedobarographic static foot plantar pressure measurements (p = .040). When we compared the ROM values of footballers who had an injury and footballers who did not have an injury, we found a significant limitation in the group that suffered an injury, in the ankle eversion, first MTP joint dorsiflexion and ankle plantarflexion degrees (p = .029, p = .023, p=.044, respectively). These findings suggest that impairments in foot plantar pressure distribution and limitations in ankle and foot joint ROM may be risk factors for the development of foot and ankle overuse injury.

Plantar Pressure Measurements During Ambulation in Weightbearing Conventional Short Leg Casts and Total Contact Casts

1996 ◽  
Vol 17 (8) ◽  
pp. 464-469 ◽  
Author(s):  
Stephen F. Conti ◽  
Rob L. Martin ◽  
E. Ruth Chaytor ◽  
Christopher Hughes ◽  
Leslie Luttrell
Keyword(s):  
Pressure Distribution ◽  
Surface Area ◽  
Mechanism Of Action ◽  
Plantar Pressure ◽  
Pressure Measurements ◽  
Plantar Surface ◽  
Plantar Pressure Distribution ◽  
Significant Difference

Total contact casts have been shown to be effective in healing plantar neuropathic ulcerations. The proposed mechanism of action is reduction of pressure over the ulcer during ambulation. However, there is little information to support this contention. Plantar pressure distribution was studied using standard short leg casts and total contact casts in normal feet. Both types of casts reduced forefoot pressure in study subjects. This occurred because of an increase in plantar surface area exposed to weightbearing forces. While increased force was shifted to the midfoot, there was no increase in pressure due to a corresponding increase in midfoot surface area exposed to this force. No significant difference was noted between standard short leg casts and total contact casts.

Effect of Modeling Assumptions in the Plantar Pressure Distribution of the Diabetic Foot Using the p-Version of the Finite Element Method

2004 ◽  
Author(s):  
Ricardo L. Actis ◽  
Liliana B. Ventura ◽  
Barna A. Szabo ◽  
Kirk E. Smith ◽  
Paul K. Commean ◽  
...  
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Pressure Distribution ◽  
Research Group ◽  
Diabetic Foot ◽  
Plantar Pressure ◽  
The Finite Element Method ◽  
Human Foot ◽  
Plantar Pressure Distribution ◽  
Element Method

This paper summarizes the modeling work performed by our research group in the last year utilizing the p-version of the finite element method for the simulation of the mechanical behavior of the human foot in regard to the plantar pressure distribution during push-off.

scholarly journals Early Detection of Freezing of Gait during Walking Using Inertial Measurement Unit and Plantar Pressure Distribution Data

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2246
Author(s):  
Scott Pardoel ◽  
Gaurav Shalin ◽  
Julie Nantel ◽  
Edward D. Lemaire ◽  
Jonathan Kofman
Keyword(s):  
Early Detection ◽  
Plantar Pressure ◽  
Inertial Measurement Unit ◽  
Binary Classification ◽  
Freezing Of Gait ◽  
Pressure Sensors ◽  
Measurement Unit ◽  
Distribution Data ◽  
Inertial Measurement ◽  
Plantar Pressure Distribution

Freezing of gait (FOG) is a sudden and highly disruptive gait dysfunction that appears in mid to late-stage Parkinson’s disease (PD) and can lead to falling and injury. A system that predicts freezing before it occurs or detects freezing immediately after onset would generate an opportunity for FOG prevention or mitigation and thus enhance safe mobility and quality of life. This research used accelerometer, gyroscope, and plantar pressure sensors to extract 861 features from walking data collected from 11 people with FOG. Minimum-redundancy maximum-relevance and Relief-F feature selection were performed prior to training boosted ensembles of decision trees. The binary classification models identified Total-FOG or No FOG states, wherein the Total-FOG class included data windows from 2 s before the FOG onset until the end of the FOG episode. Three feature sets were compared: plantar pressure, inertial measurement unit (IMU), and both plantar pressure and IMU features. The plantar-pressure-only model had the greatest sensitivity and the IMU-only model had the greatest specificity. The best overall model used the combination of plantar pressure and IMU features, achieving 76.4% sensitivity and 86.2% specificity. Next, the Total-FOG class components were evaluated individually (i.e., Pre-FOG windows, Freeze windows, transition windows between Pre-FOG and Freeze). The best model detected windows that contained both Pre-FOG and FOG data with 85.2% sensitivity, which is equivalent to detecting FOG less than 1 s after the freeze began. Windows of FOG data were detected with 93.4% sensitivity. The IMU and plantar pressure feature-based model slightly outperformed models that used data from a single sensor type. The model achieved early detection by identifying the transition from Pre-FOG to FOG while maintaining excellent FOG detection performance (93.4% sensitivity). Therefore, if used as part of an intelligent, real-time FOG identification and cueing system, even if the Pre-FOG state were missed, the model would perform well as a freeze detection and cueing system that could improve the mobility and independence of people with PD during their daily activities.

scholarly journals The Design and Simulation of a 16-Sensors Plantar Pressure Insole Layout for Different Applications: From Sports to Clinics, a Pilot Study

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1450
Author(s):  
Alfredo Ciniglio ◽  
Annamaria Guiotto ◽  
Fabiola Spolaor ◽  
Zimi Sawacha
Keyword(s):  
Pressure Distribution ◽  
Plantar Pressure ◽  
Center Of Pressure ◽  
Reaction Force ◽  
Weight Lifting ◽  
Lower Limbs ◽  
Plantar Pressure Distribution ◽  
Drop Landing ◽  
Mean Pressure ◽  
Footwear Design

The quantification of plantar pressure distribution is widely done in the diagnosis of lower limbs deformities, gait analysis, footwear design, and sport applications. To date, a number of pressure insole layouts have been proposed, with different configurations according to their applications. The goal of this study is to assess the validity of a 16-sensors (1.5 × 1.5 cm) pressure insole to detect plantar pressure distribution during different tasks in the clinic and sport domains. The data of 39 healthy adults, acquired with a Pedar-X® system (Novel GmbH, Munich, Germany) during walking, weight lifting, and drop landing, were used to simulate the insole. The sensors were distributed by considering the location of the peak pressure on all trials: 4 on the hindfoot, 3 on the midfoot, and 9 on the forefoot. The following variables were computed with both systems and compared by estimating the Root Mean Square Error (RMSE): Peak/Mean Pressure, Ground Reaction Force (GRF), Center of Pressure (COP), the distance between COP and the origin, the Contact Area. The lowest (0.61%) and highest (82.4%) RMSE values were detected during gait on the medial-lateral COP and the GRF, respectively. This approach could be used for testing different layouts on various applications prior to production.

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