Browsing by Subject "Gait"

Now showing 1 - 4 of 4
  • Thumbnail Image
    Publication
    Open Access
    Changes in the lower limb alignment during the gait in advanced phases of pregnancy and the efect of special footwear
    (Universidad de Murcia, 2018) Gimunová, Marta; Zvonař, Martin; Šagat, Peter; Duvač, Igor
    The hip, knee and foot pain are common complaints during pregnancy as pregnancy afects the musculoskeletal health. he purpose of the study was to investigate the pregnancy gait adaptations and the efect of special footwear. 16 pregnant women divided into a control and experimental group, who obtained the special footwear, participating at 27, 32 and 37 gestational weeks in data collection sessions. At each session participants were asked to go barefoot in a space captured by the Simi Motion®. To compare the diferences between diferent collection sessions, efect size obtained by Cohen’s d was used. Results of this study showed, that using the tested footwear enabled a verticalization of the pelvic segment, increase of the maximum hip extension angle, reduction of foot-loor angle and maintaining the same height of the knee during walking in the experimental group, possibly decreasing the risk of pain development in these body segments during pregnancy.
  • Thumbnail Image
    Publication
    Open Access
    Effects of virtual reality on gait and balance in patients with Parkinson's disease: A systematic review
    (Servicio de Publicaciones. Universidad de Murcia, 2025) Cremades-Santiago, María de las Nieves; Ruiz-López, Inmaculada; León Garzón, Martha Cecilia; Palop-Montoro, María Victoria; Sin departamento asociado
    La enfermedad de Parkinson provoca un alto nivel de discapacidad motora y funcional. Las nuevas técnicas de realidad virtual pueden mejorar la sintomatología de estos pacientes. Este estudio tuvo como objetivo conocer los efectos de la realidad virtual sobre la marcha y el equilibrio en pacientes con Parkinson, así como describir las técnicas de realidad virtual y las herramientas utilizadas para medir estas variables en esta patología. Se realizó una revisión sistemática siguiendo la normativa PRISMA. Las bases de datos utilizadas fueron PubMed/Medline, LILACS e IBECS, Cochrane Library, CINAHL, Sport Discus, Psycinfo y Web of Science. La última búsqueda se realizó en mayo de 2023. Un total de 8 estudios forman parte de esta revisión y demuestran que los pacientes con Parkinson pueden mejorar el equilibrio y la marcha utilizando diferentes modalidades de realidad virtual como las videoconsolas Wii Fit y Xbox 360. Las herramientas más empleadas para medir el equilibrio fueron Sensory Organization Test y Berg Balance Scale, y aquellas para medir la marcha fueron Timed Up and Go y Dynamic Gait Index. La realidad virtual como terapia mejora la marcha y el equilibrio en los pacientes con Parkinson y no se muestran efectos adversos tras su utilización.
  • Thumbnail Image
    Publication
    Open Access
    Fall risk detection mechanism in the elderly, based on electromyographic signals, through the use of artificial intelligence
    (Universidad de Murcia, Servicio de Publicaciones, 2023) Arias-Poblete, Leónidas; Álvarez‐Arangua, Sebastián; Jerez-Mayorga, Daniel; Chamorro, Claudio; Ferrero‐Hernández, Paloma; Ferrari, Gerson; Farías‐Valenzuela, Claudio
    Introduction: The tests used to classify older adults at risk of falls are questioned in literature. Tools from the field of artificial intelligence are an alternative to classify older adults more precisely. Objective: To identify the risk of falls in the elderly through electromyographic signals of the lower limb, using tools from the field of artificial intelligence. Methods: A descriptive study design was used. The unit of analysis was made up of 32 older adults (16 with and 16 without risk of falls). The electrical activity of the lower limb muscles was recorded during the functional walking gesture. The cycles obtained were divided into training and validation sets, and then from the amplitude variable, select attributes using the Weka software. Finally, the Support Vector Machines (SVM) classifier was implemented. Results: A classifier of two classes (elderly adults with and without risk of falls) based on SVM was built, whose performance was: Kappa index 0.97 (almost perfect agreement strength), sensitivity 97%, specificity 100%. Conclusions: The SVM artificial intelligence technique applied to the analysis of lower limb electromyographic signals during walking can be considered a precision tool of diagnostic, monitoring and follow-up for older adults with and without risk of falls.
  • Thumbnail Image
    Publication
    Open Access
    Impact of peripheral refractive errors in mobility performance
    (Association for Research in Vision and Ophthalmology, ) García Pedreño, Clara; Tabernero de Paz, Juan Francisco; Benito Galindo, Antonio; Artal Soriano, Pablo; Electromagnetismo y Electrónica
    Purpose: The purpose of this study was to investigate the functional effects of peripheral refractive errors on mobility performance through a stair negotiation task. Methods: Twenty-one young, normal sighted subjects navigated through an obstacle with steps, wearing spectacles that altered only their peripheral refraction. Lenses were used to induce positive defocus (+2 diopters [D] and +4 D), negative defocus (−2 D and −4 D), or astigmatism (+1.75 D and −3.75 D, axis 45 degrees) in the periphery. Feet trajectories were analyzed, and several gait assessment parameters were obtained. Statistical tests were conducted to determine significant performance differences between the lenses. Peripheral refraction in each subject was measured using a scanning Hartmann-Shack wavefront sensor to assess the impact of intrinsic peripheral refraction on the experiment. Results: Statistically significant differences in performance appeared when peripheral errors were superimposed. Crossing time with respect to plano lenses increased by 6.2%, 7.6%, 19.2%, and 29.6% for the −2 D, +2 D, −4 D, and +4 D lenses, respectively (P < 0.05 in the last 3 cases). Subjects exhibited slower walking speeds, increased step count, and adopted precautionary measures. High-power positive defocus lenses had the biggest impact on performance, and differences were observed in distance to steps between induced positive and negative defocus. Conclusions: In this laboratory-based study without an adaptation period, peripheral refractive errors affected stair negotiation, causing cautious behavior in subjects. Performance differences among types of peripheral defocus may result from magnification effects and intrinsic peripheral refraction. These results highlight the importance of understanding the effects of induced peripheral errors by myopia