Toward model-based individualized fitting of hip-flexion exosuits for persons with unilateral transfemoral amputation

Wearable Technologies, Год журнала: 2025, Номер 6

Опубликована: Янв. 1, 2025

Abstract The muscular restructuring and loss of function that occurs during a transfemoral amputation surgery has great impact on the gait mobility individual. hip residual limb adopts number functional roles would previously be controlled by lower joints. In absence active plantar flexors, swing initiation must achieved through an increased flexion moment. high activity is major contributor to discomfort fatigue experienced individuals with amputations walking. other patient populations, both passive exosuits have been shown positively affect mechanics. We believe exosuit configured aid could well applied amputation. this article, we model effects such device whole-body, subject-specific kinematic simulations level ground simulated for 18 K2 K3 Medicare classification levels. A user-specific profile generated via three-axis moment-matching optimization using interior-point algorithm. employ two related cost functions reflect form device. hypothesized optimal configuration highly variable across subjects but variance within groups lower. From results, partially accept hypothesis, as some parameters had subjects. However, did not consistently trend down when dividing into groups, highlighting need design.

Язык: Английский

Real-Time IMU-Based Kinematics in the Presence of Wireless Data Drop

IEEE Journal of Biomedical and Health Informatics, Год журнала: 2024, Номер 28(11), С. 6512 - 6524

Опубликована: Июль 23, 2024

Wireless inertial motion capture holds promise for real-time human-machine interfaces and home-based rehabilitation applications. However, wireless data drop can cause significant estimation errors deteriorating performance or even making the system unusable. It is currently unclear how to estimate non-periodic kinematics with wearable measurement units (IMUs) in presence of (packet loss). We thus propose a novel inference encoder-decoder network model during dynamic movement. Twenty-four healthy subjects performed yoga, golf, swimming, dance, badminton movement activities while wearing IMUs 10-90% each IMU's were randomly removed determine effects on accuracy without proposed model. Results demonstrated reduction RMSE 45.2% 51.5% upper limb kinematic compared No Prediction strategy, 19.1% 31.3% an baseline LSTM In addition, has significantly less error (p<0.05) than strategy 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80% drop. These results could enable wearable, IMU analysis assessment reduced varying amounts further facilitate interaction medical treatment.

Язык: Английский

Myoelectric-Based Estimation of Vertical Ground Reaction Force During Unconstrained Walking by a Stacked One-Dimensional Convolutional Long Short-Term Memory Model

Sensors, Год журнала: 2024, Номер 24(23), С. 7768 - 7768

Опубликована: Дек. 4, 2024

The volitional control of powered assistive devices is commonly performed by mapping the electromyographic (EMG) activity lower limb to joints' angular kinematics, which are then used as input for regulation. However, during walking, ground reaction force (GRF) plays a central role in modulation gait, providing dynamic stability and propulsion stance phase. Including this information within loop prosthetic can improve quality final output, more physiological walking dynamics that enhances usability patient comfort. In work, we explored feasibility estimation vertical component (VGRF) using only EMG activities thigh shank muscles. We compared two deep learning models three experiments involved different muscular configurations. Overall, outcomes show signals could be leveraged obtain reliable VGRF muscles alone represent viable solution if reduced recording setup needed. On other hand, failed performance enhancements, either when or together with results outline including GRF an EMG-driven scheme devices.

Язык: Английский