Predicting the effect of individual weight-bearing on tibial load and fracture healing after tibial plateau fractures-introduction of a biomechanical simulation model
The study aims to introduce a simulation model that adequately predicts the effects of different weight-bearing amounts on stability and healing, based on the patient’s individual fracture pattern and treatment construct after tibial plateau fractures.
Step2Motion: Locomotion Reconstruction from Pressure Sensing Insoles
Machine Learning for early detection of motor dysfunction in Parkinson’s disease using 6-axis IMU data
This study investigates the effectiveness of traditional machine learning (ML) classifiers in differentiating gait characteristics of individuals with Parkinson’s Disease (PD) from healthy controls using 6-axis inertial measurement unit (IMU) data acquired via Moticon OpenGo smart insoles.
Foot Pressure-Based Abnormal Gait Recognition With Multi-Scale Cross-Attention Fusion
A real-time full-chain wearable sensor-based musculoskeletal simulation: an OpenSim-ROS Integration
Gait analysis reveals new outcome measures for monitoring disease progression in individuals with late-onset Pompe disease
This study explores the ability of biomechanical analysis using wearable technology to monitor disease activity in Peripheral Neuropathy (PN) patients by assessing gait parameters with integrated inertial sensors and plantar insoles.
Digital biomechanical assessment of gait in patients with peripheral neuropathies
This study explores the ability of biomechanical analysis using wearable technology to monitor disease activity in Peripheral Neuropathy (PN) patients by assessing gait parameters with integrated inertial sensors and plantar insoles.
Wireless Sensor Insoles for Assessing Load Distribution and Plantar Pressures in Persons with Orthopedic Conditions within a Home Environment: A Case Report
This study aimed to determine whether sensor insoles can effectively detect asymmetries in lower limb load and plantar pressures in an individual with orthopedic conditions during a sequence of activities of daily living in a home environment.
AI and Sensor Insoles Power the Future of Remote Leg Fracture Recovery
Post-injury complications significantly impact quality of life and increase healthcare costs for leg fracture patients. A $2.7 million NIH grant funds a collaborative project between Vanderbilt University and the University of Kentucky. They’re using Moticon’s sensor insoles to monitor real-world musculoskeletal loading, aiming to tailor rehabilitation and improve recovery outcomes.
Real-Time Biomechanical Analysis of Human Movement with Wearable Sensors and Musculoskeletal Modelling
This project aimed to validate a wearable sensor system that combines IMUs, pressure insoles, and musculoskeletal modelling for real-time estimation of hip, knee, and ankle joint angles and moments.
Recovery of Patient-Reported Outcome Measures vs Gait Parameters Obtained by Instrumented Insoles After Tibial and Malleolar Fractures: Prospective Longitudinal Observational Study
This study aimed to compare the recovery trajectories of patient-reported outcomes with objective gait parameters obtained using instrumented insoles after tibial and malleolar fractures.
Predicting the Effect of Individual Weight-Bearing on Tibial Load and Fracture Healing after Tibial Plateau Fractures – Introduction of a Biomechanical Simulation Model
This study introduces a simulation model to predict the effects of different weight-bearing amounts on stability and healing after tibial plateau fractures, using data from healthy participants and patient-specific fracture patterns.
PhysioSense: An Open-Source Multi-Modal Monitoring Framework for Human Movement and Behavior Analysis
The PhysioSense framework enables the capture and recording of data using a variety of tools for applications in human movement analysis, ergonomic assessment, skill capture, and human-robot interaction.
Assessing Single and Dual-Sensor IMU Setup for 3D Foot Modelling in Running
This study compares two IMU-based approaches for modelling foot segment motion: a dual-sensor setup, where both hindfoot and forefoot orientations are directly measured, and a single-sensor setup, where forefoot (FF) orientation is estimated from the hindfoot (HF) orientation.
Exploring Musical Feedback for Gait Retraining: A Novel Approach to Orthopedic Rehabilitation
This study highlights the potential of musical feedback for orthopedic rehabilitation.
Ankle Fracture Gait Training Through Musical Feedback: Case Study
This case study introduces an innovative approach using musical feedback to enhance gait training for patients recovering from trimalleolar ankle fractures.
Selection of insole pressure sensors for ground reaction force estimation through studying principal component analysis
The study aimed to identify the optimal number and location of pressure sensors in insoles, specifically Moticon and Fscan, for accurate estimation of Ground Reaction Force (GRF) components during walking, utilizing Principal Component Analysis (PCA) and Artificial Neural Networks (ANN).
Possible load after initial implantation of a total hip arthroplasty (THA): comparison of minimal invasive anterolateral approach with direct lateral transgluteal approach according to Bauer
This study examined whether the surgical approach affects ground reaction force symmetry in total hip arthroplasty (THA) patients during early rehabilitation.
Individual postoperative and preoperative workflow for patients with fractures of the lower extremities
This study aimed to establish a patient-specific treatment workflow to determine the mechanical fracture environment and allow for an estimation of its healing potential from the clinical data of real patients.
Augmenting Rehabilitation Robotics with Spinal Cord Neuromodulation: A Proof of Concept
This study developed a closed-loop implantable spinal cord neuroprosthesis to augment robot-assisted rehabilitation, promoting robust muscle activity and neurological improvements in individuals with paralysis.
AI and Wearables Unite for Advanced Patient Monitoring
Summary Ephion Health is a technology company that has developed a digital platform for capturing patients’ functional movement capacity. The platform allows for the precise and objective monitoring of patients in both inpatient and outpatient care as well as in research settings. The company was founded in 2021 and is based in Barcelona, Spain. Ephion […]
Assisting Gait Stability in Walking Aid Users Exploiting Biomechanical Variables Correlation
This letter proposes an innovative approach to assessing users’ stability while walking with WANDER, a novel gait assistive device, by exploiting the correlation between the eXtrapolated Center of Mass (XCoM) and the Base of Support (BoS) edges.
Gait cycle and pressure load values of the foot on different surfaces with Moticon Insole2 in a healthy cohort
The aim of this study was to determine reference values for pedobarographic insoles based on a foot-healthy collective.
Deep learning-based extension of gait segmentation to abnormal patterns using inertial measurement units
This study aims to develop a novel gait segmentation framework using IMUs and deep learning to effectively analyze both normal and abnormal gait patterns, enhancing its applicability in medical contexts.
Prospective and experimental clinical study on the effects of knee joint deformities and the implantation of a total knee arthroplasty on the ankle joint
This prospective clinical study aimed to validate the observed phenomenon of ankle pain after total knee arthroplasty, investigating the influence of knee joint deformities and TKA on the ankle joint to identify risk factors for postoperative ankle pain.
Gait analysis with smart insoles can identify patients at risk of tibial shaft fracture nonunion as early as six weeks after surgery: longitudinal and cross-sectional study
This study aimed to determine if gait analysis with instrumented insoles and PROMIS questionnaires could identify patients at risk of tibial shaft fracture nonunion during the healing phase.
Long-term continuous instrumented insole-based gait analyses in daily life have advantages over longitudinal gait analyses in the lab to monitor healing of tibial fractures
Straight walking data of patients were collected during clinical visits and in between those visits the instrumented insoles recorded all stepping activities of the patients during daily life.
Asymmetry of peak plantar pressure in transfemoral amputees during indoor and outdoor walking
This study investigates the differences in peak plantar pressure between the amputated and intact limbs of transfemoral amputees when walking outdoors.
GaitWay Gait Data-Based VR Locomotion Prediction System Robust to Visual Distraction
This study involved 11 participants navigating a visually distracting three-tiered VR environment while performing designated tasks.
Characteristic changes of the stance-phase plantar pressure curve when walking uphill and downhill – implications for long-term monitoring of gait patterns via insoles for smart healthcare
For walking on a slope, typical changes in the stance phase curve measured by insoles were hypothesized.
Modeling Foot–Floor Interactions during Walking for Normal and Abnormal Gaits
In this study, we modeled the dynamic foot–floor interactions during human walking through footstep-induced floor vibrations induced by normal and abnormal gaits.
Influence of age, height, weight, body mass index, grip strength, and incline and decline on ground reaction forces during the gait cycle
The aim of this study was therefore to evaluate the relationship or effect of age, body weight, height, handgrip strength, and the slope and inclination of a gait plane on ground reaction forces or plantar pressure progression during the physiological gait cycle.
Estimating 3D GRF Using a Minimal Sensor Setup: Exploiting the Concept of VPP
This paper introduces a novel method for the estimation of 3D Ground Reaction Forces (GRF) using a minimal sensing setup, aiming to overcome the limitations associated with conventional subject-specific approaches.
Assessing Dual Task Gait Asymmetries in Older Adults Using Wireless Instrumented Shoe Insoles
Our aim was to assess the influence of a cognitive load on gait asymmetries in older adults using wireless instrumented shoe insoles.
Objective gait assessment and quantified recurrence analysis using foot-worn wearable sensor for healthy individuals
This work determined the concurrent validity and repeatability of the proposed foot-worn gait evaluation system using objective gait features and recurrence quantification analysis from 52 participants.
Concurrent validity of instrumented insoles measuring gait and balance metrics in Parkinson’s disease
The purpose of this study was to examine the concurrent validity of the sensor insole for measuring temporal and vertical force variables during sprinting.
Accuracy of the fully integrated Insole3’s estimates of spatiotemporal parameters during walking
This study investigated the accuracy of the Insole3 wireless shoe device in estimating several clinically useful spatiotemporal parameters (STPs).
FDA Employs Moticon Insoles to Evaluate Neurodegenerative Therapies
FDA’s Office of Science and Engineering Labs has initiated a clinical study aiming at fostering neurodegenerative disease assessment and building an open-access gait database using Moticon’s wireless sensor insoles
A dataset of asymptomatic human gait and movements obtained from markers, IMUs, insoles and force plates
The proposed dataset has been established on 10 asymptomatic adults. Participants were asked to walk at different speeds on a 10-meters walkway in a laboratory and to perform different movements such as squats or knee flexion/extension tasks.
A wearable real-time kinetic measurement sensor setup for human locomotion
This study established a fully wearable system, based on commercially available sensors (inertial measurement units + pressure insoles), that can measure both kinematic and kinetic motion data simultaneously and support wireless frame-by-frame streaming.
Modified stepping behaviour during outdoor winter walking increases resistance to forward losses of stability
They investigated changes in gait stability behaviour when walking outdoors in the summer and winter, hypothesizing that as ground conditions worsened in the winter, the stepping strategy would be hindered.
Real-Time Musical Feedback From Pressure-Sensing Insoles For Asymmetric Gait Retraining
The study hypothesized that this sonification of plantar pressure data would lead to a more symmetric weight-bearing, step timing and pressure under the toes during terminal stance between the affected and healthy legs.
Effects of age, body height, body weight, body mass index and handgrip strength on the trajectory of the plantar pressure stance-phase curve of the gait cycle
The study hypothesized characteristic changes of age, body height, body weight, body mass index and handgrip strength on the plantar pressure curve trajectory during gait in healthy participants.
Parkinson’s Disease Gait Evaluation Leveraging Wearable Insoles and Deep Learning Approach
The objective of this study is to use a smart insole dataset for the assessment of computational techniques focusing on gait evaluation.
The Classification of Multiple Interacting Gait Abnormalities Using Insole Sensors and Machine Learning
In this work we investigate the effectiveness of a wireless in-shoe pressure sensing system used in combination with machine learning referred to as long term short term memory networks to classify multiple gait patterns
Evaluating Gait Impairment in Parkinson’s Disease from Instrumented Insole and IMU Sensor Data
The aim of this endeavor is to provide new insights by achieving the following goals: First, to compare the performance of instrumented pressure insoles and IMU sensors when applied to the same task.
Multidimensional Biomechanics-Based Score to Assess Disease Progression in Duchenne Muscular Dystrophy
There is a clear need for the establishment of precise clinical endpoints to measure patient mobility using the 6MWT.
Functional gait analysis reveals insufficient hindfoot compensation for varus and valgus osteoarthritis of the knee
The aim of this study was, therefore, to assess dynamic foot posture during gait using pressure-sensitive wireless insoles in patients with osteoarthritis of the knee and frontal knee deformities.
Stability in the Outdoors: Winter conditions elicit modied stepping behaviour but no additional compensation from the ankle or trunk strategies
We investigated changes in gait stability behaviour when walking outdoors in the summer and winter, hypothesizing that as ground conditions worsened in the winter, the stepping strategy would be hindered.
Machine learning analysis of a digital insole versus clinical standard gait assessments for digital endpoint development
This work demonstrates how a digital insole measuring osteoarthritis-specific gait signatures yields similar results to the clinical gait-lab standard.
