An Exploration of Visual Gait Assessment of Horses by Physiotherapists

Journal of Equine Rehabilitation, Journal Year: 2025, Volume and Issue: unknown, P. 100020 - 100020

Published: Jan. 1, 2025

Language: Английский

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Quantitative Gait and Balance Outcomes for Ataxia Trials: Consensus Recommendations by the Ataxia Global Initiative Working Group on Digital-Motor Biomarkers

The Cerebellum, Journal Year: 2023, Volume and Issue: 23(4), P. 1566 - 1592

Published: Nov. 13, 2023

With disease-modifying drugs on the horizon for degenerative ataxias, ecologically valid, finely granulated, digital health measures are highly warranted to augment clinical and patient-reported outcome measures. Gait balance disturbances most often present as first signs of cerebellar ataxia reported disabling features in disease progression. Thus, gait constitute promising relevant performance outcomes trials.This narrative review with embedded consensus will describe evidence sensitivity evaluating severity progression, propose a protocol establishing metrics natural history studies trials, discuss issues their use outcomes.

Language: Английский

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Gait Analysis in Neurorehabilitation: From Research to Clinical Practice

Bioengineering, Journal Year: 2023, Volume and Issue: 10(7), P. 785 - 785

Published: June 30, 2023

When brain damage occurs, gait and balance are often impaired. Evaluation of the cycle, therefore, has a pivotal role during rehabilitation path subjects who suffer from neurological disorders. Gait analysis can be performed through laboratory systems, non-wearable sensors (NWS), and/or wearable (WS). Using these tools, physiotherapists neurologists have more objective measures motion function plan tailored specific training early to achieve better outcomes improve patients’ quality life. However, most innovative tools used for research purposes (especially systems NWS), although they deserve attention in field, considering their potential improving clinical practice. In this narrative review, we aimed summarize patients, shedding some light on value implications neurorehabilitation

Language: Английский

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Position paper on how technology for human motion analysis and relevant clinical applications have evolved over the past decades: Striking a balance between accuracy and convenience

Gait & Posture, Journal Year: 2024, Volume and Issue: 113, P. 191 - 203

Published: June 13, 2024

Language: Английский

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Fall Prevention after Hip and Knee Arthroplasty

Orthopedic Clinics of North America, Journal Year: 2024, Volume and Issue: 56(2), P. 121 - 134

Published: June 21, 2024

Language: Английский

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Kinematic Analysis of Human Gait in Healthy Young Adults Using IMU Sensors: Exploring Relevant Machine Learning Features for Clinical Applications

Bioengineering, Journal Year: 2024, Volume and Issue: 11(2), P. 105 - 105

Published: Jan. 23, 2024

Background: Gait is the manner or style of walking, involving motor control and coordination to adapt surrounding environment. Knowing kinesthetic markers normal gait essential for diagnosis certain pathologies generation intelligent ortho-prostheses treatment prevention disorders. The aim present study was identify key features human using inertial unit (IMU) recordings in a walking test. Methods: analysis conducted on 32 healthy participants (age range 19–29 years) at speeds 2 km/h 4 treadmill. Dynamic data were obtained microcontroller (Arduino Nano 33 BLE Sense Rev2) with IMU sensors (BMI270). collected processed analyzed custom script (MATLAB 2022b), including labeling four relevant phases events (Stance, Toe-Off, Swing, Heel Strike), computation statistical (64 features), application machine learning techniques classification (8 classifiers). Results: Spider plot revealed significant differences created by most features. Among different classifiers tested, Support Vector Machine (SVM) model Cubic kernel achieved an accuracy rate 92.4% when differentiating between computed Conclusions: This identifies optimal acceleration gyroscope during gait. findings suggest potential applications injury performance optimization individuals engaged activities creation spider plots proposed obtain personalised fingerprint each patient’s that could be used as diagnostic tool. A deviation from pattern can Moving forward, this information has use clinical gait-related disorders developing novel orthoses prosthetics prevent falls ankle sprains.

Language: Английский

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In-sensor human gait analysis with machine learning in a wearable microfabricated accelerometer

Communications Engineering, Journal Year: 2024, Volume and Issue: 3(1)

Published: March 16, 2024

Abstract In-sensor computing could become a fundamentally new approach to the deployment of machine learning in small devices that must operate securely with limited energy resources, such as wearable medical and for Internet Things. Progress this field has been slowed by difficulty find appropriate using physical degrees freedom can be coupled directly perform sensing. Here we leverage reservoir natural framework do system, show micro-electromechanical system implement sensing accelerations coupling displacement suspended microstructures. We present complete attached foot identify gait patterns human subjects real-time. The efficiency power consumption in-sensor is then compared conventional separate sensor digital computer. For similar capabilities, much better expected highly-integrated devices, thus providing path ubiquitous edge devices.

Language: Английский

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Multibody dynamics-based musculoskeletal modeling for gait analysis: a systematic review

Journal of NeuroEngineering and Rehabilitation, Journal Year: 2024, Volume and Issue: 21(1)

Published: Oct. 5, 2024

Beyond qualitative assessment, gait analysis involves the quantitative evaluation of various parameters such as joint kinematics, spatiotemporal metrics, external forces, and muscle activation patterns forces. Utilizing multibody dynamics-based musculoskeletal (MSK) modeling provides a time cost-effective non-invasive tool for prediction internal Recent advancements in development biofidelic MSK models have facilitated their integration into clinical decision-making processes, including diagnostics, functional assessment prosthesis implants, devising data-driven rehabilitation protocols. Through an extensive search meta-analysis over 116 studies, this PRISMA-based systematic review comprehensive overview different existing platforms, generic templates, methods personalization to individual subjects, solutions used address statically indeterminate problems. Additionally, it summarizes post-processing techniques practical applications tools. In field biomechanics, indispensable simulating understanding human movement dynamics. However, limitations which remain elusive include absence templates based on female anatomy underscores need further area.

Language: Английский

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Human Walking Gait Classification Utilizing an Artificial Neural Network for the Ergonomics Study of Lower Limb Prosthetics

Prosthesis, Journal Year: 2023, Volume and Issue: 5(3), P. 647 - 665

Published: July 12, 2023

Prosthetics and orthotics research, studies, technologies have been evolving through the years. According to World Health Organization (WHO) data, it is estimated that, globally, 35–40 million people require prosthetics usage in daily life. demand increasing due certain factors. One of factors vascular-related disease, which leads amputation. Prosthetic can increase an amputee’s quality Therefore, studies ergonomic design are important. The factor delivers prosthetic products that comfortable for use. way incorporate by studying human walking gait. This paper presents a multiclassification gait based on electromyography (EMG) signals using machine learning method. An EMG sensor was attached bicep femoris longus gastrocnemius lateral head acquire signal. experiment conducted volunteers during normal activity at various speeds movements were segmented as initial contact, labeled gait; loading response terminal stance, mid-gait; pre-swing swing, final signal then characterized artificial neural network (ANN) compared six training accuracy methods, i.e., Levenberg–Marquardt backpropagation algorithm, quasi-Newton method, Bayesian regulation gradient descent backpropagation, with adaptive rate one-step secant backpropagation. study performed well classification three classes overall (training, testing, validation) 96% data will be used explore lower limb future research.

Language: Английский

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Devices for Gait and Balance Rehabilitation: General Classification and a Narrative Review of End Effector-Based Manipulators

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(10), P. 4147 - 4147

Published: May 14, 2024

Gait and balance have a direct impact on patients’ independence quality of life. Due to higher life expectancy, the number patients suffering neurological disorders has increased exponentially, with gait impairments being main side effects. In this context, use rehabilitation robotic devices arises as an effective complementary tool recover functions. Among devices, end effectors present some advantages shown encouraging outcomes. The objective study is twofold: propose general classification for provide review existing such purposes. We classified into five groups: treadmills, exoskeletons, patient-guided systems, perturbation platforms, effectors. Overall, 55 were identified in literature, which 16 commercialized. found disproportionate capable providing both types (2/55) those focused either (21/55) or (32/55). analysis their features from mechanical standpoint (degrees freedom, topology, training mode) allowed us identify potential parallel manipulators driving mechanisms effector suggest several future research directions.

Language: Английский

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