AIMC Topic: Gait

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Uncovering locomotor learning dynamics in people with Parkinson's disease.

PloS one Jul 31, 2025
Locomotor learning is important for improving gait and balance impairments in people with Parkinson's disease (PD). While PD disrupts neural networks involved in motor learning, there is a limited understanding of how PD influences the time course of...
Learning Female Aged Male Humans Bayes Theorem Gait Locomotion Motor Skills Middle Aged Case-Control Studies Parkinson Disease
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Evidence Based Gait Analysis Interpretation Tools (EB-GAIT) treatment recommendation and outcome prediction models to support decision-making based on clinical gait analysis data.

PloS one Jul 29, 2025
Clinical gait analysis (CGA) has historically relied on clinician experience and judgment, leading to modest, stagnant, and unpredictable outcomes. This paper introduces Evidence-Based Gait Analysis Interpretation Tools (EB-GAIT), a novel framework l...
Humans Bayes Theorem Gait Gait Analysis Machine Learning Clinical Decision-Making Treatment Outcome
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Gait training using powered robotic exoskeleton for a person with spinal cord injury: a case report.

Spinal cord series and cases Jul 28, 2025
INTRODUCTION: Robotic Exoskeleton-assisted gait training is an emerging approach in spinal cord injury (SCI) rehabilitation. This case report evaluates the effectiveness of Powered-Robotic exoskeleton-based gait training in an individual with chronic...
Exoskeleton Device Paraplegia Humans Adult Male Exercise Therapy Spinal Cord Injuries Robotics Gait
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Objective monitoring of motor symptom severity and their progression in Parkinson's disease using a digital gait device.

Scientific reports Jul 15, 2025
Digital technologies for monitoring motor symptoms of Parkinson's Disease (PD) underwent a strong evolution during the past years. Although it has been shown for several devices that derived digital gait features can reliably discriminate between hea...
Machine Learning Female Aged Humans Severity of Illness Index Parkinson Disease Gait Male Middle Aged Disease Progression
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Integrating deep learning in stride-to-stride muscle activity estimation of young and old adults with wearable inertial measurement units.

Scientific reports Jul 9, 2025
Deep learning has become powerful and yet versatile tool that allows for the extraction of complex patterns from rich datasets. One field that can benefits from this advancement is human gait analysis. Conventional gait analysis requires a specialize...
Gait Gait Analysis Adult Male Middle Aged Muscle, Skeletal Walking Deep Learning Wearable Electronic Devices Female Aged Young Adult Humans Neural Networks, Computer
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Utility of synthetic musculoskeletal gaits for generalizable healthcare applications.

Nature communications Jul 4, 2025
Deep-neural-network-based artificial intelligence enables quantitative gait analysis with commodity sensors. However, current gait-analysis models are usually specialized for specific clinical populations and sensor settings due to the limited size a...
Gait Analysis Humans Neural Networks, Computer Artificial Intelligence Deep Learning Female Gait Male
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Interpretable machine learning for depression recognition with spatiotemporal gait features among older adults: a cross-sectional study in Xiamen, China.

BMC geriatrics Jul 2, 2025
OBJECTIVE: Depression in older adults is a growing public health concern, yet there is still a lack of convenient and real-time methods for depressive symptoms identification. This study aims to develop a gait-based depression recognition method for ...
Female Aged Humans Machine Learning Aged, 80 and over Depression Middle Aged Cross-Sectional Studies Gait China Male
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Recognition of anxiety and depression using gait data recorded by the kinect sensor: a machine learning approach with data augmentation.

Scientific reports Jul 2, 2025
Anxiety and depression disorders are increasingly common, necessitating methods for real-time assessment and early identification. This study investigates gait analysis as a potential indicator of mental health, using the Microsoft Kinect sensor to c...
Gait Analysis Support Vector Machine Bayes Theorem Humans Gait Machine Learning Male Female Anxiety Anxiety Disorders Young Adult Depression Adult Biomechanical Phenomena
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FSID: a novel approach to human activity recognition using few-shot weight imprinting.

Scientific reports Jul 1, 2025
Accurate recognition of human activities from gait sensory data plays a vital role in healthcare and wellness monitoring. However, conventional deep learning models for Human Activity Recognition (HAR) often require large labeled datasets and extensi...
Deep Learning Gait Human Activities Humans Algorithms
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Neural mechanisms underlying the improvement of gait disturbances in stroke patients through robot-assisted gait training based on QEEG and fNIRS: a randomized controlled study.

Journal of neuroengineering and rehabilitation Jun 18, 2025
BACKGROUND: Robot-assisted gait training is more effective in improving lower limb function and walking ability in stroke patients compared to conventional rehabilitation, but the neural mechanisms remain unclear. This study aims to explore the effec...
Stroke Rehabilitation Spectroscopy, Near-Infrared Adult Motor Cortex Treatment Outcome Humans Gait Electroencephalography Male Gait Disorders, Neurologic Robotics Female Stroke Exercise Therapy Middle Aged Aged
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