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.
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.
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.
Stability Assessment during Active Back-Support Exoskeleton Use: Pressure–Time Integral Analysis
This study evaluates how active back-support exoskeletons influence stability and plantar pressure distribution across various construction carpentry tasks.
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.
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.
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
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.
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.
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 […]
Changes in Muscle Activation and Joint Motion During Walking After Transtibial Amputation with Sensory Feedback from Spinal Cord Stimulation: A Case Study
This case study included a participant with transtibial amputation who was implanted percutaneously with SCS electrodes over the lumbosacral enlargement for 84 days.
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.
Beyond Distance: How Sensor Insoles Enhance Clinical Walk Tests in Neurological Patients
This article explores how using sensor insoles to instrument patients during the 2MWT introduces a new approach to clinical gait assessment. Beyond the traditional quantitative measure of distance, this method provides a movement quality perspective, offering clinically relevant insights into load patterns, foot movements, timing, and symmetry.
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.
Extended reality and information and communications technology in therapy: Enhancing remote artistic and recreational engagement for physically impaired and socially isolated patients
This study explores how Extended Reality (XR) integrated with digital tools can enhance psycho-physical well-being and therapeutic effectiveness for physically impaired and socially isolated patients.
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.
The Timed Up & Go Test for assessing patients’ functional mobility
The Timed Up & Go Test is a clinical tool to assess mobility, balance, and fall risk. Instrumenting this test with sensor insoles offers advanced gait metrics, enhancing patient evaluations and improving predictive outcomes.
Testing patients’ balance skills with in-shoe measurement systems
Balance assessments play a crucial role in evaluating fall risk, especially in older adults and individuals with neurological conditions. While traditional tests offer practical insights, sensor-based measurements provide precise and objective data, allowing for a deeper understanding of balance in clinical and research settings.
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.
Gait analysis can distinguish patients with and without union of tibial shaft fractures as early as six weeks after surgery
Gait analysis outperforms the use of radiographs or patient-reported outcome measures in the detection of patients with a particularly high risk of tibial nonunion.
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.
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.
MultiSenseBadminton: Wearable Sensor–Based Biomechanical Dataset for Evaluation of Badminton Performance
This paper introduces a multi-sensor badminton dataset for forehand clear and backhand drive strokes, based on interviews with coaches for optimal usability.
A Proposal for Automatic Evaluation of Human Functional Limitations in Activities of Daily Living
This work introduces a novel proposal designed to automate the assessment of human functional limitations.
Feasibility Study of Real-Time Estimation of Knee Adduction Moment Using Wearable Insole Sensors and Artificial Neural Networks: A Case Report
Feasibility study on real-time knee adduction moment (KAM) estimation using Moticon OpenGo sensor insoles and artificial neural networks. Wearable sensor insoles show potential for monitoring knee load.
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.
A Study Of Biomechanical Effects Of Gait Pattern In Different Samples Of Human Population
This study evaluates gait analysis in sprinting using Moticon insoles to measure gait dynamics.
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.
Can the Effect of Radiotherapy on Painful Plantar Fasciopathy Be Objectively Measured Using Static and Dynamic Pedobarography
This study was about evaluating a new method of objective measuring the effectiveness of the radiotherapy for the painful plantar fasciitis.
Investigating the effects on postural control from prolonged resting in different horizontal positions
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.
Using Fitness Tracker Data to Overcome Pressure Insole Wear Time Challenges for Remote Musculoskeletal Monitoring
Here, we introduce a method for overcoming this issue with a wrist-worn fitness tracker that can be worn all day.
The trainer in your shoes – sensors for objectivizing screening tests in performance in sports
State-of-the-art foot sensors and automated testing algorithms enable sports professionals to provide evidence-based support for injured athletes through competition preparation. As these innovations transition from science to practice, they must offer flexible use, high data quality, and good usability.
Longitudinal weight and plantar pressure distribution while standing after tibial or malleolar fractures in patients with or without fracture union
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.
