Publications related to Intelligent plantar pressure offloading for the prevention of diabetic foot ulcers and amputations

Related publications (17)

A Tunable Self-Offloading Module for Plantar Pressure Regulation in Diabetic Patients

Yves Perriard, Yoan René Cyrille Civet, Paolo Germano, Christian Köchli, Sofia Lydia Ntella, Bhawnath Tiwari, Kenny Jeanmonod

Plantar pressure plays a crucial role in the pathogenesis of foot ulcers among patients with diabetes and peripheral polyneuropathy. Pressure relief is a key requirement for both the prevention and treatment of plantar ulcers. Conventional medical practice ...

2024

Prototyping and Experimental Analysis of Active Offloading Footwear for Patients With Diabetes Using an Array of Magnetorheological Fluid–Based Modules

Yves Perriard, Yoan René Cyrille Civet, Paolo Germano, Christian Köchli, Bhawnath Tiwari

Diabetic foot ulceration is a serious challenge worldwide which imposes an immense risk of lower extremity amputation and in many cases may lead to the death. The presented work focuses on the offloading requirements using an active approach and considers ...

2024

Cognitive Impairment and Metabolite Profile Alterations in the Hippocampus and Cortex of Male and Female Mice Exposed to a Fat and Sugar-Rich Diet are Normalized by Diet Reversal

João Miguel das Neves Duarte, Adélaïde Alice Mohr

Diabetes impacts on brain metabolism, structure, and function. Alterations in brain metabolism have been observed in obesity and diabetes models induced by exposure to diets rich in saturated fat and/or sugar and have been linked to memory impairment. Howe ...

INT SOC AGING & DISEASE2022

Pressure Offloading Device for Diabetic Footwear Based on Magnetorheological Fluids

Yves Perriard, Yoan René Cyrille Civet, Christian Köchli, Sofia Lydia Ntella, Kenny Jeanmonod

Diabetes is a rapidly growing disease, with important complications that decrease the quality of life of patients. Diabetic Foot Ulceration is a major complication of diabetes and can lead to gangrene and amputation. It is related to high pressure develope ...

IEEE2022

What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from theENIGMABipolar Disorder Working Group

Erick Jorge Canales Rodriguez, Jorge Miguel Dias Almeida Rodrigues Soares

MRI-derived brain measures offer a link between genes, the environment and behavior and have been widely studied in bipolar disorder (BD). However, many neuroimaging studies of BD have been underpowered, leading to varied results and uncertainty regarding ...

Wiley2022

Design optimization of Miniature Magnetorheological Valves with Self-Sensing Capabilities Used for a Wearable Medical Application

Yves Perriard, Yoan René Cyrille Civet, Sofia Lydia Ntella, Minh Trung Duöng

Magnetorheological (MR) fluids are materials characterized as “intelligent” since their rheological properties may be controlled by the excitation of an external magnetic field. The application of the latter brings the fluid from a liquid to a semi-solid s ...

IEEE2020

Non-Exponential Variations for Classical Results in First Passage Percolation

Jacques Saliba

We study in this thesis the asymptotic behavior of optimal paths on a random graph model, the configuration model, for which we assign continuous random positive weights on its edges. We start by describing the asymptotic behavior of the diameter and the f ...

EPFL2020

Competitive Neural Layer-based Method to Identify People with High Risk for Diabetic Foot

André Anjos

Background and objective: To automatically identify patients with diabetes mellitus (DM) who have high risk of developing diabetic foot, via an unsupervised machine learning technique. Methods: We collected a new database containing 54 known risk factors f ...

2020

Involvement of the PlGF/VEGFR1 pathway in diabetes and type 1 retinal telangiectasia

Laura Emmanuelle Kowalczuk

WILEY2019

PREC 2019: Personal Robots for Exercising and Coaching

Ayberk Özgür, Arzu Güneysu Özgür

Exercising is strongly recommended for prevention and treatment of pathologies with high prevalence such as cardiovascular diseases, cancer, and diabetes. The World Health Organization (WHO) states that insufficient physical activity is one of the leading ...

IEEE2019

Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo

Nisheeth Vishnoi, Oren Rami Mangoubi

Hamiltonian Monte Carlo (HMC) is a widely deployed method to sample from high-dimensional distributions in Statistics and Machine learning. HMC is known to run very efficiently in practice and its popular second-order "leapfrog" implementation has long bee ...

NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)2018

Design, Modelling and Sensing Possibilities of Magneto-Rheological Based Devices

Daniel Grivon

This thesis has been put in place during the development of an innovative medical device which consists in an intelligent footwear for foot plantar pressure redistribution in diabetic patients. In fact, despite the several sophisticated techniques develope ...

EPFL2017

New optical tools for non-invasive imaging and quantification of glucose and nicotinamide riboside in living cells and animals

Aleksandra Konovalova

Glucose is one of the most important metabolites that plays a key role in living organisms, as it is the primary energy source. Glucose metabolism is also an integral part in the pathogenesis of diabetes and cancer. Despite this tremendous impact of glucos ...

EPFL2016

Variational Gaussian Inference for Bilinear Models of Count Data

Young Jun Ko, Mohammad Emtiyaz Khan

Bilinear models of count data with Poisson distribution are popular in applications such as matrix factorization for recommendation systems, modeling of receptive fields of sensory neurons, and modeling of neural-spike trains. Bayesian inference in such mo ...

2014

Statistical Distributions of Lightning Currents Associated With Upward Negative Flashes Based on the Data Collected at the Säntis Tower in 2010 and 2011

Farhad Rachidi-Haeri, Marcos Rubinstein, Mario Paolone, Carlos Alberto Romero Romero

This paper presents statistical distributions of lightning current parameters based on the lightning current and current-derivative waveforms measured at the Säntis Tower site in 2010 and 2011. The total number of flashes analyzed in this study was 167, wh ...

Ieee-Inst Electrical Electronics Engineers Inc2013

COUP-TFII Controls Mouse Pancreatic beta-Cell Mass through GLP-1-beta-Catenin Signaling Pathways

Anne Grapin-Botton

Background: The control of the functional pancreatic beta-cell mass serves the key homeostatic function of releasing the right amount of insulin to keep blood sugar in the normal range. It is not fully understood though how beta-cell mass is determined. ...

2012

A Comparison Between Joint Coordinate System and Attitude Vector for Multi-segment foot Kinematics

Kamiar Aminian, Julien Favre, Hossein Rouhani, Xavier Crevoisier

The joint angles of multi-segment foot models have been primarily described using two mathematical methods: the joint coordinate system and the attitude vector. This study aimed to determine whether the angles obtained through these two descriptors are com ...

Elsevier2012