Iskanje po repozitoriju

A+ | A- | | SLO | ENG

Povzetek: Gait dynamics, encompassing both spatial and temporal parameters, undergo significant changes with aging, often leading to increased gait variability and, consequentially, a higher risk of falls. While cognitive and musculoskeletal factors have been demonstrated to contribute to these alterations, the role of the neural system is crucial and yet not fully understood. This review aims to synthesize the existing evidence on the age-related deterioration in locomotor functioning, with a specific emphasis on the neural mechanisms involved. Besides summarizing appropriate measures to quantify gait variability, several neural factors including cortical, neurotransmitter, and sensory system degeneration, are explored as key contributors to the observed changes in locomotion during aging. Additionally, the review discusses the potential use of diverse interventions to enhance gait variability during aging to reduce the risk of falls. By elucidating the complex interplay between aging, gait dynamics, and neural function, this review underscores the importance of targeted interventions aimed at preserving neural health to maintain gait stability and reduce fall risk in the aging population. The findings suggest that further research is needed to develop and refine strategies for the early detection and prevention of gait-related impairments linked to neural decline.
Ključne besede: gait, variability, aging, motor control
Objavljeno v DiRROS: 24.02.2026; Ogledov: 210; Prenosov: 108
Celotno besedilo (2,90 MB)
Gradivo ima več datotek! Več...

Povzetek: Background: Freezing of gait (FoG) is one of the most debilitating motor symptoms in Parkinson’s disease (PD). It often leads to falls and reduces quality of life due to the risk of injury and loss of independence. Several types of wearable sensors have emerged as promising tools for the detection of FoG in clinical and real-life settings. Objective: The main objective of this systematic review was to critically evaluate the current usability of wearable sensor technologies for FoG detection in PD patients. The focus of the study is on sensor types, sensor combinations, placement on the body and the applications of such detection systems in a naturalistic environment. Methods: PubMed, IEEE Explore and ACM digital library were searched using a search string of Boolean operators that yielded 328 results, which were screened by title and abstract. After the screening process, 43 articles were included in the review. In addition to the year of publication, authorship and demographic data, sensor types and combinations, sensor locations, ON/OFF medication states of patients, gait tasks, performance metrics and algorithms used to process the data were extracted and analyzed. Results: The number of patients in the reviewed studies ranged from a single PD patient to 205 PD patients, and just over 65% of studies have solely focused on FoG + PD patients. The accelerometer was identified as the most frequently utilized wearable sensor, appearing in more than 90% of studies, often in combination with gyroscopes (25.5%) or gyroscopes and magnetometers (20.9%). The best overall sensor configuration reported was the accelerometer and gyroscope setup, achieving nearly 100% sensitivity and specificity for FoG detection. The most common sensor placement sites on the body were the waist, ankles, shanks and feet, but the current literature lacks the overall standardization of optimum sensor locations. Real-life context for FoG detection was the focus of only nine studies that reported promising results but much less consistent performance due to increased signal noise and unexpected patient activity. Conclusions: Current accelerometer-based FoG detection systems along with adaptive machine learning algorithms can reliably and consistently detect FoG in PD patients in controlled laboratory environments. The transition of detection systems towards a natural environment, however, remains a challenge to be explored. The development of standardized sensor placement guidelines along with robust and adaptive FoG detection systems that can maintain accuracy in a real-life environment would significantly improve the usefulness of these systems.
Ključne besede: Parkinson’s disease, wearable sensors, freezing of gait, symptoms
Objavljeno v DiRROS: 24.11.2025; Ogledov: 672; Prenosov: 190
Celotno besedilo (1,05 MB)
Gradivo ima več datotek! Več...

Povzetek: Parkinson’s disease (PD) is generally associated with abnormally increased beta band oscillations in the cortico-basal ganglia loop during walking. PD patients with freezing of gait (FOG) exhibit a more distinct, prolonged narrow band of beta oscillations that are locked to the initiation of movement at ∼18 Hz. Upon initiation of cycling movements, this oscillation has been reported to be weaker and rather brief in duration. Due to the suppression of the overall beta band power during cycling and its continuous nature of the movement, cycling is considered to be less demanding for cortical networks compared to walking, including reduced need for sensorimotor processing, and thus unimpaired continuous cycling motion. Furthermore, cycling has been considered one of the most efficient non-pharmacological therapies with an influence on the subthalamic nucleus (STN) beta rhythms implicative of the deep brain stimulation effects. In the current review, we provide an overview of the currently available studies and discuss the underlying mechanism of preserved cycling ability in relation to the FOG in PD patients. The mechanisms are presented in detail using a graphical scheme comparing cortical oscillations during walking and cycling in PD.
Ključne besede: gait, freezing of gait, Parkinson's disease, cycling, cortical oscillations, beta band
Objavljeno v DiRROS: 21.06.2022; Ogledov: 1604; Prenosov: 1311
Celotno besedilo (469,86 KB)
Gradivo ima več datotek! Več...