Distinguishing Gait Patterns in PD Patients under Different Treatments via Recurrence Plots and Vision Transformer Fusion
The study aims to establish a deep learning framework using recurrence plots and Vision Transformers to objectively distinguish gait signatures in Parkinson’s patients receiving different treatments compared to healthy controls.
From treadmill to outdoor overground walking: Enhancing ground contact timing detection for older adults using transfer learning
This study evaluates the effectiveness of transfer learning to adapt deep learning models trained on young adult treadmill data for accurate ground contact timing detection in older adults across diverse outdoor terrains.
HERMES: A Unified Open-Source Framework for Realtime Multimodal Physiological Sensing, Edge AI, and Intervention in Closed-Loop Smart Healthcare Applications
The study aims to deliver HERMES, an open-source Python framework designed to bridge the gap in real-time multimodal sensing and AI processing for closed-loop healthcare applications, such as intelligent prostheses.
Maximum Pressure Gradient Based Fall Risk Comparison of Passive and Active Back-Support Exoskeletons
This study compares the impact of active and passive back-support exoskeletons on worker stability by analyzing plantar pressure distribution to determine associated fall risks during carpentry tasks.
Wearable environmental sensing to forecast how legged systems will interact with upcoming terrain
This study evaluates the feasibility of using a shank-mounted camera and machine learning to forecast foot center-of-pressure and impact timing during level-ground to stair-ascent transitions to inform anticipatory control in assistive systems.
Validity of a Wearable Digital Insole for Assessing Gait ON and OFF in Parkinson’s Disease
This study evaluates the concordance of the Moticon ReGo digital insole with the GAITRite system for measuring spatiotemporal gait parameters in Parkinson’s disease patients during ON and OFF medication states.
Sensor Insoles: A Review
This review evaluates the state of the art in sensor insole technology, highlighting the transition from stationary laboratory infrastructure to mobile, wearable systems for natural gait analysis.
T-AMMFN: a Spatio-Temporal Attention-based Multi-Modal Fusion Network for gait data simulation and rehabilitation effect prediction in ankle injury patients
This study develops a multi-modal deep learning network to accurately predict rehabilitation outcomes and simulate synthetic gait data for patients recovering from ankle injuries.
Estimation of Ground Reaction Force with Wearable Accelerometers and Deep Learning: Comparative Analysis between Temporal Architectures
This study evaluates deep learning architectures to predict vertical ground reaction forces using a single wearable accelerometer compared against gold-standard force data.
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.
Changes in plantar pressure distribution during stance in the course of fracture healing of the lower leg and the upper ankle joint
This study investigates how weight-bearing and plantar pressure distribution evolve during the standing phase of the healing process following lower leg and ankle fractures.
FootFormer: Estimating Stability from Visual Input
The study aims to develop a unified deep learning architecture called FootFormer that jointly estimates dense foot pressure, ground contact, and center of mass from video sequences to quantify human postural stability.
Single-Task vs. Dual-Task: Age Differences in Balance and Cognition
This study investigated the impact of dual-tasking on balance and cognitive performance across different age groups using wearable sensor technology.
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.
Step2Motion: Locomotion Reconstruction from Pressure Sensing Insoles
Gender differences in gait parameters during the healing of fractures of the lower leg and the upper ankle joint
This study investigated whether gender-specific differences exist in gait patterns and rehabilitation progress during the healing process of lower leg and ankle fractures.
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.
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 […]
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.
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.
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.
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.
Validation of an instrumented shoe insole framework for analyzing spatiotemporal gait metrics in healthy and neurodegenerative populations
This study validates an instrumented shoe insole framework for analyzing spatiotemporal gait metrics in healthy individuals and those with multiple sclerosis and Parkinson’s disease.
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.
Flexible 3D-printed sensors for wearable motion analysis and assistive devices
This study aims to evaluate and develop wearable, 3D-printable transducer technologies, specifically ferroelectrets, to enhance human gait analysis, motion intention detection, and health monitoring for mobile assistive devices.
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
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.
Validity and Reliability of the Insole3 Instrumented Shoe Insole for Ground Reaction Force Measurement during Walking and Running
This study evaluated whether the Insole3 is a valid and reliable alternative to force plates for measuring vGRF.
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).
Prediction of Physical Frailty in Orthogeriatric Patients Using Sensor Insole–Based Gait Analysis and Machine Learning Algorithms: Cross-sectional Study
A gait analysis based on machine learning algorithms using sensor insoles is superior to the SARC-F and the TUG test to identify physical frailty in orthogeriatric patients.
Forces at the Feet, Gait Timing, and Trunk Flexion/Extension Excursion While Walking with a Gear Belt or Gear Vest Load
The aim of this study was to evaluate the differences in gait and trunk posture for gear load carried on a gear belt and a gear vest.
A Study on Foot Pressure and Kinematic Analysis by Event in Performing Speed Climbing
This study aimed to examine the kinematic characteristics of speed climbing on the magnitude of foot pressure when performing start climbing movement.
