2. Universidad Cardenal Herrera-CEU
Permanent URI for this communityhttps://hdl.handle.net/10637/13
Search Results
- Wearable sensors detect differences between the sexes in lower limb electromyographic activity and pelvis 3D kinematics during running
2020-11-12 Each year, 50% of runners su er from injuries. Consequently, more studies are being published about running biomechanics; these studies identify factors that can help prevent injuries. Scientific evidence suggests that recreational runners should use personalized biomechanical training plans, not only to improve their performance, but also to prevent injuries caused by the inability of amateur athletes to tolerate increased loads, and/or because of poor form. This study provides an overview of the di erent normative patterns of lower limb muscle activation and articular ranges of the pelvis during running, at self-selected speeds, in men and women. Methods: 38 healthy runners aged 18 to 49 years were included in this work. We examined eight muscles by applying two wearable superficial electromyography sensors and an inertial sensor for three-dimensional (3D) pelvis kinematics. Results: the largest di erences were obtained for gluteus maximus activation in the first double float phase (p = 0.013) and second stance phase (p = 0.003), as well as in the gluteus medius in the second stance phase (p = 0.028). In both cases, the activation distribution was more homogeneous in men and presented significantly lower values than those obtained for women. In addition, there was a significantly higher percentage of total vastus medialis activation in women throughout the running cycle with the median (25th–75th percentile) for women being 12.50% (9.25–14) and 10% (9–12) for men. Women also had a greater range of pelvis rotation during running at self-selected speeds (p = 0.011). Conclusions: understanding the di erences between men and women, in terms of muscle activation and pelvic kinematic values, could be especially useful to allow health professionals detect athletes who may be at risk of injury.
- A random forest machine learning framework to reduce running injuries in young triathletes
2020-11-09 Background: The running segment of a triathlon produces 70% of the lower limb injuries. Previous research has shown a clear association between kinematic patterns and specific injuries during running. Methods: After completing a seven-month gait retraining program, a questionnaire was used to assess 19 triathletes for the incidence of injuries. They were also biomechanically analyzed at the beginning and end of the program while running at a speed of 90% of their maximum aerobic speed (MAS) using surface sensor dynamic electromyography and kinematic analysis. We used classification tree (random forest) techniques from the field of artificial intelligence to identify linear and non-linear relationships between di erent biomechanical patterns and injuries to identify which styles best prevent injuries. Results: Fewer injuries occurred after completing the program, with athletes showing less pelvic fall and greater activation in gluteus medius during the first phase of the float phase, with increased trunk extension, knee flexion, and decreased ankle dorsiflexion during the initial contact with the ground. Conclusions: The triathletes who had su ered the most injuries ran with increased pelvic drop and less activation in gluteus medius during the first phase of the float phase. Contralateral pelvic drop seems to be an important variable in the incidence of injuries in young triathletes.
- Analysis of the impact of the confinement resulting from COVID-19 on the lifestyle and psychological wellbeing of Spanish pregnant women : an Internet-based cross-sectional survey
2020-08-15 (1) Background: This study aimed to analyze the impact of the confinement due to the COVID-19 pandemics on the eating, exercise, and quality-of-life habits of pregnant women. (2) Methods: This was an internet-based cross-sectional survey which collected information about adherence to the Mediterranean diet, physical exercise, health-related quality of life (HRQoL), and perceived obstacles (in terms of exercise, preparation for delivery, and medical appointments) of pregnant women before and after the confinement. The survey was conducted in 18–31 May 2020. (3) Results: A total of 90 pregnant women participated in this study. There was a significant decrease in the levels of physical activity (p < 0.01) as well as in HRQoL (p < 0.005). The number of hours spent sitting increased by 50% (p < 0.001), 52.2% were unable to attend delivery preparation sessions because these had been cancelled. However, there were no significant di erences in the eating pattern of these women (p = 0.672). Conclusions: These results suggest the need to implement specific online programs to promote exercise and reduce stress, thus improving the HRQoL in this population, should similar confinements need to occur again for any reason in the future.
- Effects of unstable shoes on trunk muscle activity in patients with chronic low back pain
2018-07-20 Unstable shoe was developed as a walking device to strengthen the lower extremity muscles and reduce joint loading. A large number of studies have reported in asymptomatic adults increased electromyography (EMG) activity throughout the gait cycle in most of the lower limb muscles. However, no previous studies have explored the effects of wearing unstable shoes on trunk muscle activity in patients with chronic low back pain (CLBP). Therefore, the aim of the present study was to compare trunk muscle activity during gait using an unstable shoe and a conventional flat control shoe in patients with CLBP. Thirty-five CLBP patients (51.1±12.4 yrs.; 26±3.8 kg/m2; 9.3±5.2 Roland Morris Disability Questionnaire score) were recruited from the Orthopedic Surgery Service at the Hospital to participate in this cross-sectional study. All participants underwent gait analysis by simultaneously collecting surface electromyography (EMG) data from erector spinae (ES), rectus abdominis (RA), obliquus internus (OI) and obliquus externus (OE) muscles, while walking on a treadmill with flat control shoes and experimental unstable shoes. The results showed significantly higher %EMG activity in ES (mean difference: 1.8%; 95% confidence interval [CI] 1.3 to 2.2), RA (mean difference: 1.5%; 95% CI 0.3 to 2.7), and OI (mean difference: 1.5%; 95% CI 0.2 to 2.8) in the unstable shoes condition compared to the flat shoes condition. Based on these findings, the use of unstable shoes may have potential implications in promoting spine stability, particularly in improving neuromuscular control of trunk muscles in CLBP treatment.
- Test-retest reliability and minimal detectable change scores for the short physical performance battery, one-legged standing test and timed up and go test in patients undergoing hemodialysis
2018-08-22 Functional tests are commonly used for chronic kidney disease (CKD) patients undergoing hemodialysis (HD). However, the relative and absolute reliability of such physical performance-outcome assessments must first be determined in specific patient cohorts. The aims of this study were to assess the relative and the absolute reliability of the Short Physical Performance Battery (SPPB), One-Legged Stance Test (OLST), and Timed Up and Go (TUG) test, as well as the minimal detectable change (MDC) scores for these tests in CKD patients receiving HD. Seventy-one end-stage CKD patients receiving HD therapy, aged between 21 and 90 years, participated in the study. The patients completed two testing sessions one to two weeks apart and performed by the same examiner, comprising the following tests: the SPPB (n = 65), OLST (n = 62), and TUG test (n = 66). High intraclass correlation coefficients ( 0.90) were found for all the tests, suggesting that their relative reliability is excellent. The MDC scores for the 90% confidence intervals were as follows: 1.7 points for the SPPB, 11.3 seconds for the OLST, and 2.9 seconds for the TUG test. The reliability of the SPPB, OLST, and TUG test for this sample were all considered to be acceptable. The MDC data generated by these tests can be used to monitor meaningful changes in the functional capacity of the daily living-related activity of CKD patients on HD.