Gait physiotherapy with motor imagery in people with Parkinson’s disease: a protocol for randomized control GAITimagery trial DOI Creative Commons
Constanza San Martín Valenzuela,

Eduar Murcia,

Estela Aznar-Requena

и другие.

Frontiers in Neurology, Год журнала: 2025, Номер 15

Опубликована: Янв. 17, 2025

According to people with Parkinson's disease (PD), gait impairments are the most disabling motor symptoms of PD. Recently, imagery (MI) has gained notoriety as a training technique due flexibility its use, however, it not been demonstrated that causes superior effect when included in physiotherapy. This study aims determine if combined MI greater on PD than just training. The GAITimagery is designed double-blind, randomized control trial, including convenience sample 2 parallel groups (1:1) two interventions sessions per week during 6-week and 8-week follow-up. initial recruitment will be 88 participants idiopathic unimpaired cognition state, who randomly divided into groups: (GiG) or active Gait group (GaG). Both perform same exercises but only GiG include speed primary outcome, while Maximum (m/s) variability secondary results. tertiary outcomes related Quality life, Daily life activities, Freezing gait, Balance, Mobility, performance measures psychometrics biomechanics instruments. All results measured at baseline (t0), post-training (t1), follow-up assessment (t2) 8 weeks after finished physiotherapy programs. program standardizes application improvement parkinsonian time monitoring vividness referred by session session. effectiveness this MI-exclusive includes subjective objective measurement tools detect minimal changes still-to-be-finish support therapeutic decisions whether allocate depending size achieved comparison

Язык: Английский

Quantitative Gait and Balance Outcomes for Ataxia Trials: Consensus Recommendations by the Ataxia Global Initiative Working Group on Digital-Motor Biomarkers DOI Creative Commons
Winfried Ilg, Sarah Milne, Tanja Schmitz‐Hübsch

и другие.

The Cerebellum, Год журнала: 2023, Номер 23(4), С. 1566 - 1592

Опубликована: Ноя. 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.

Язык: Английский

Процитировано

33
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 DOI
Paolo Bonato, Véronique Feipel, Giulia Corniani

и другие.

Gait & Posture, Год журнала: 2024, Номер 113, С. 191 - 203

Опубликована: Июнь 13, 2024

Язык: Английский

Процитировано

10
An Exploration of Visual Gait Assessment of Horses by Physiotherapists DOI Creative Commons

Anna Dubaniewicz-Pearce,

Gillian Tabor,

Emma B Davies

и другие.

Journal of Equine Rehabilitation, Год журнала: 2025, Номер unknown, С. 100020 - 100020

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

2
Gait Analysis in Neurorehabilitation: From Research to Clinical Practice DOI Creative Commons
Mirjam Bonanno, Alessandro Marco De Nunzio, Angelo Quartarone

и другие.

Bioengineering, Год журнала: 2023, Номер 10(7), С. 785 - 785

Опубликована: Июнь 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

Язык: Английский

Процитировано

23
Fall Prevention after Hip and Knee Arthroplasty DOI
Kevin A. Wu, Katherine Kutzer,

David N. Kugelman

и другие.

Orthopedic Clinics of North America, Год журнала: 2024, Номер 56(2), С. 121 - 134

Опубликована: Июнь 21, 2024

Язык: Английский

Процитировано

8
Kinematic Analysis of Human Gait in Healthy Young Adults Using IMU Sensors: Exploring Relevant Machine Learning Features for Clinical Applications DOI Creative Commons
Xavier Marimon, Itziar Mengual, Carlos López‐de‐Celis

и другие.

Bioengineering, Год журнала: 2024, Номер 11(2), С. 105 - 105

Опубликована: Янв. 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.

Язык: Английский

Процитировано

7
In-sensor human gait analysis with machine learning in a wearable microfabricated accelerometer DOI Creative Commons
Guillaume Dion, Albert Tessier-Poirier,

Laurent Chiasson-Poirier

и другие.

Communications Engineering, Год журнала: 2024, Номер 3(1)

Опубликована: Март 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.

Язык: Английский

Процитировано

6
Functional assessment in patients undergoing total hip arthroplasty DOI
Richard Rivera, Theofilos Karasavvidis, Cale Pagan

и другие.

The Bone & Joint Journal, Год журнала: 2024, Номер 106-B(8), С. 764 - 774

Опубликована: Авг. 1, 2024

Conventional patient-reported surveys, used for patients undergoing total hip arthroplasty (THA), are limited by subjectivity and recall bias. Objective functional evaluation, such as gait analysis, to delineate a patient's capacity customize surgical interventions, may address these shortcomings. This systematic review endeavours investigate the application of objective assessments in appraising individuals THA.

Язык: Английский

Процитировано

6
Multibody dynamics-based musculoskeletal modeling for gait analysis: a systematic review DOI Creative Commons
Muhammad Abdullah, Abdul Aziz Hulleck, Rateb Katmah

и другие.

Journal of NeuroEngineering and Rehabilitation, Год журнала: 2024, Номер 21(1)

Опубликована: Окт. 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.

Язык: Английский

Процитировано

5
Human Walking Gait Classification Utilizing an Artificial Neural Network for the Ergonomics Study of Lower Limb Prosthetics DOI Open Access
Farika Tono Putri, Wahyu Caesarendra, Grzegorz Królczyk

и другие.

Prosthesis, Год журнала: 2023, Номер 5(3), С. 647 - 665

Опубликована: Июль 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.

Язык: Английский

Процитировано

12