AIMC Topic: Walking
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Improving trunk posture control in children with CP through a cable-driven robotic hippotherapy: A randomized controlled feasibility study.
Gait & posture
Jun 20, 2024
BACKGROUND: Many children with cerebral palsy (CP) show impairments in trunk posture control, one crucial factor contributing to impairments in gait and arm manipulation.
Self-Supervised Learning Improves Accuracy and Data Efficiency for IMU-Based Ground Reaction Force Estimation.
IEEE transactions on bio-medical engineering
Jun 19, 2024
OBJECTIVE: Recent deep learning techniques hold promise to enable IMU-driven kinetic assessment; however, they require large extents of ground reaction force (GRF) data to serve as labels for supervised model training. We thus propose using existing ...
Exploring the Impact of the Class on In-the-Wild Human Activity Recognition.
Sensors (Basel, Switzerland)
Jun 16, 2024
Monitoring activities of daily living (ADLs) plays an important role in measuring and responding to a person's ability to manage their basic physical needs. Effective recognition systems for monitoring ADLs must successfully recognize naturalistic ac...
Real-Time Tracking Data and Machine Learning Approaches for Mapping Pedestrian Walking Behavior: A Case Study at the University of Moratuwa.
Sensors (Basel, Switzerland)
Jun 13, 2024
The growing urban population and traffic congestion underline the importance of building pedestrian-friendly environments to encourage walking as a preferred mode of transportation. However, a major challenge remains, which is the absence of such ped...
Experiment-free exoskeleton assistance via learning in simulation.
Nature
Jun 12, 2024
Exoskeletons have enormous potential to improve human locomotive performance. However, their development and broad dissemination are limited by the requirement for lengthy human tests and handcrafted control laws. Here we show an experiment-free meth...
AiCarePWP: Deep learning-based novel research for Freezing of Gait forecasting in Parkinson.
Computer methods and programs in biomedicine
Jun 7, 2024
BACKGROUND AND OBJECTIVES: Episodes of Freezing of Gait (FoG) are among the most debilitating motor symptoms of Parkinson's Disease (PD), leading to falls and significantly impacting patients' quality of life. Accurate assessment of FoG by neurologis...
Prediction of Achilles Tendon Force During Common Motor Tasks From Markerless Video.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jun 3, 2024
Remodeling of the Achilles tendon (AT) is partly driven by its mechanical environment. AT force can be estimated with neuromusculoskeletal (NMSK) modeling; however, the complex experimental setup required to perform the analyses confines use to the l...
Deep Learning for Electromyographic Lower-Limb Motion Signal Classification Using Residual Learning.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jun 3, 2024
Electromyographic (EMG) signals have gained popularity for controlling prostheses and exoskeletons, particularly in the field of upper limbs for stroke patients. However, there is a lack of research in the lower limb area, and standardized open-sourc...
FP-GCN: Frequency Pyramid Graph Convolutional Network for Enhancing Pathological Gait Classification.
Sensors (Basel, Switzerland)
May 23, 2024
Gait, a manifestation of one's walking pattern, intricately reflects the harmonious interplay of various bodily systems, offering valuable insights into an individual's health status. However, the current study has shortcomings in the extraction of t...
Robot-assisted gait training improves walking and cerebral connectivity in children with unilateral cerebral palsy.
Pediatric research
May 20, 2024
BACKGROUND: Robot-assisted gait training (RAGT) is promising to help walking rehabilitation in cerebral palsy, but training-induced neuroplastic effects have little been investigated.
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