A Wearable Musical Feedback System for Medical Knee Osteoarthritis: Feasability and Biomechanical Effects
This study aims to evaluate the feasibility, acceptability, and biomechanical effects of a novel musical-feedback gait retraining device designed to reduce medial knee loading in a chronic knee pain cohort.
Optimal Sensor Placement and Minimal Sensor Combination for Step Width Estimation Using Inertial Measurement Unit-based Gait Data
Optimal IMU sensor placement for step width estimation was evaluated in 24 healthy adults, with insole-type sensors achieving the best single-sensor accuracy.
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.
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.
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.
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 […]
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.
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.
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.
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.
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.
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.
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.
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 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.
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.
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.
Developing AI-powered Wearable Digital Biomarker for Multiple Sklerosis
This remarkable cooperation aims to harness the power of artificial intelligence (AI) and real-time gait analysis to improve the lives of the approximately 2.8 million people worldwide affected by this chronic disease of the central nervous system.
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.
Is remote active feedback gait retraining comparable to in-person retraining 2 years post anterior cruciate ligament reconstruction
Recent advancements in wearable technologies render active feedback gait retraining feasible in natural environments. It is unknown whether in-person and remote gait retraining would have similar effects on the KAM.
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.
Movement Strategies adopted by individuals with medial knee OA in response to pressure-based auditory feedback gait reraining
Based on real-time pressure data and individualized training thresholds, the use of plantar pressure-based auditory feedback to shift weight medially was found to reduce the KAM in individuals with medial knee OA.
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.
Assessing lower extremity loading during activities of daily living using continuous-scale physical functional performance 10 and wireless sensor insoles: a comparative study between younger and older adults
This study aims to investigate the lower extremity loading during activities of daily living (ADLs) using the Continuous Scale of Physical Functional Performance (CS-PFP 10) test and wireless sensor insoles in healthy volunteers.
Gait analysis and biofeedback training for trauma patients
Biofeedback training with trauma patients helps to control partial weight bearing as well as with normalizing the gait pattern, and enhances patient involvement
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.
What are the advantages of longterm patient monitoring with sensor insoles?
Moticon OpenGo sensor insoles can be of great help monitoring gait. The built- in smart recording feature collects data when you walk and stops if you rest or sit. This makes it possible that you do up to two weeks non stop gait monitoring.
