19 research outputs found
Various methods to assess knee proprioception: A review
No full textIntroduction: Proprioception is a vital aspect of motor control and when degraded or lost can have a profound impact on function in diverse clinical populations. This systematic review aimed to identify clinically related tools to measure proprioceptive acuity. The major purpose of this systematic review was to identify and categorise the methods that have been developed and utilised to test proprioceptive accuracy in a comprehensive manner. Methods: The pub med, Scopus, Web of Science and the other search engine/databases used: Cochrane database / SCIRE / PEDro / CINAHL/ EMBASE, ERIC were systematically searched. Conclusions: The TTDPM method has less relative ecological validity, but has high conceptual purity, Although JPR tests may have less relative test validity, but more clinically feasible, The AMEDA method appears to have better ecological validity and relatively better test validity and data validity
Association of quadriceps angle with gender, anthropometric measurements and quadriceps muscle strength in middle age group: A systemic review
No full textThis study aims to determine the relationship between quadriceps angle, anthropometric measurements and quadriceps muscle strength. The quadriceps angle (Q angle) consider clinically as a very important parameter which displays the biomechanical effect of the quadriceps muscle on the knee and it is also a crucial factor for the proper posture and movement of the knee. Quadriceps angle is routinely and regularly used as an assessment parameter during the diagnosis of many knee-related problems. This study shows the inverse relation between quadriceps angle and height and quadriceps muscle strength. Also it provides information of the proportional relation between quadriceps angle and weight
Sustainable Attainment of Solar E-waste Recycling Concerning to COVID-19 Crisis: A Review
No full textAssociation of Quadriceps Angle (Q Angle) with Gender, Anthropometric Measurements and Quadriceps Muscle Strength in Healthy Young Adults
No full text
Background: Quadriceps angle is the angle produced between the quadriceps muscle and the patellar tendon, which is also known as Q angle. It is also regarded as a key component for the correct knee posture and movement. Q angle is frequently employed as a diagnostic indicator for knee-related issues such as anterior knee pain, degenerative knee disorders, osteoarthritis etc. It has a great clinical and biomechanics significance and this angle gives useful information about alignment of lower limb. Present study shows association of Q angle with gender, various anthropometric measurements and Quadriceps muscle strength. Methods: Total 150 healthy young individuals (20 male and 130 female) between the age of 18 to 30 years from the different constituent institutes of Sumandeep Vidyapeeth University were included in the study. Q angle was measured in degrees by using universal goniometer on both sides. Anthropometric measurements - Height, weight. Body mass index, Waist and Hip circumference, Intercondylar distance between femur and Quadriceps muscle strength were measured. Results: In this study, the correlation between Q angle and Anthropometric measurements were analyzed. The mean Q angle on right side was 18.87 and on left side was 18.87. Bilaterally, no significant differences were found in Q angle. The angle of right and left side was significantly correlated with weight, height, BMI, intercondylar distance and quadriceps muscle strength. However, these angles are not correlated with WHR. Conclusion: This study supported positive correlation of weight and BMI with Q angle; negative correlation of height, intercondylar distance of femur and quadriceps muscle strength with Q angle. Although, no significant correlation was found between Q angle and WHR
Association of Age, Gender and Body Mass Index with Proprioception in Knee Joint in Healthy Individuals
No full textBackground: The word proprioception is derived from Latin word “proprius” means it is one’s own and “reception” means it receives. In Musculoskeletal rehabilitation, proprioception plays significant role in maintaining normal motor control. The proprioception is an important non-invasive clinical procedure which helps in diagnosing pre-existing and treating knee conditions. Proprioception assessment is foremost because loss in proprioception will lead to altered weight bearing at joints and alteration of normal body movement causing fall or injury. Purpose of this study is to find out the association of knee joint proprioception with age, gender and BMI in healthy individuals. Methods: Total 132 participants are included in the study. Their height and weight was measured to calculate their BMI. After that, proprioception was assessed with the help of goniometer mounted on the stand. Knee joint proprioception was measured for Test angles 30°, 45° and 60° toward extension. At all angles test was performed three times in sequence. Result: The collected data were analyzed in SPSS software version 21.0. At 30° correlations between both side of knee joint proprioception with Age, Gender and BMI was non-significant except left side of proprioception with gender. However, at 45° correlations between both side of knee joint proprioception with Age, Gender and BMI was found significant. Additionally, similar of most result was found at 60° except left side of knee joint proprioception was found not significant with BMI. Conclusion: Knee joint proprioception decreases with ageing and are more in females than males. This study finds weak to moderate correlation with BMI
Classifying flexible pavement defects using hybrid machine learning approach
No full textThe transportation infrastructure sector significantly impacts a country’s gross domestic product (GDP), particularly in developing nations striving to manage and maintain road networks as valuable assets. While asset generation is integral, the more intricate challenge lies in effective maintenance. Pavement monitoring, a crucial component of pavement maintenance and management systems (PMMS), evaluates defect severity, road maintenance prioritization, and maintenance types. To enhance road health monitoring, the present study introduces a hybrid machine learning (ML) method, integrating support vector machine (SVM) and convolutional neural network (CNN). The proposed semi-automated detection system aims to reduce human supervision in traditional surveys, thereby cutting down the cost of pavement distress maintenance The research utilizes data collected by the authors from Ahmedabad city, Gujarat, following Indian road congress (IRC) guidelines for defect selection. Training involves 1,000 images for each crack type, with testing on 100 images. Results indicate that the SVM-CNN model achieves 87% accuracy in training and 91% accuracy in testing for road defect classification, showcasing its efficiency in pavement maintenance and management. The system presents the potential to significantly enhance the efficiency of road maintenance processes, making it a valuable asset for developing nations striving for a more streamlined approach to road network preservation
Analyzing the key factors and perspectives of stakeholders in pavement maintenance
No full textRoad infrastructure is important for societal and economic development; therefore, it is crucial to maintain the durability and safety of the pavements. The present study investigates the domain of pavement maintenance by thoroughly analyzing the factors affecting the quality of pavement considering diverse groups of stakeholders. The study explored various flexible pavement defects (distress factors i.e., potholes, alligator cracks, longitudinal cracks, transverse cracks, hungry surfaces, streaking, shoving, rutting, and raveling). The opinions of stakeholders from various sectors such as public, private, and academia are collected through surveys, interviews, and detailed discussions. The collected data is analyzed using advanced statistical tools such as analysis of variance (ANOVA), post hoc test, criticality index, and Spearman rank correlation, which revealed patterns and correlations between stakeholder views. This study highlights diverse perspectives on pavement distress factors, providing valuable insights into the decision-making process. The findings of this research will help policymakers prioritize pavement maintenance based on the prevailing distresses, highlighting the importance of informed decision-making in pavement maintenance and management practices
Knowledge and Attitude towards Sports Injury Prevention and Management among Sports Playing College Students: A Cross-sectional Study
No full textIntroduction: Sports is an emerging field among young people and has gained popularity worldwide. Consequently, the prevalence of sports-related injuries has increased day by day. To address this issue, all types of studies have been conducted. However, the knowledge and attitude of athletes are considered two key factors in preventing sports injuries.
Aim: To determine the current status of knowledge and attitude regarding Sports Injury Prevention and Management (SIPM) among college students engaged in sports.
Materials and Methods: This cross-sectional study was conducted under the affiliation of the College of Physiotherapy, Sumandeep Vidyapeeth, in the Vadodara district, Gujarat, India, from June 2022 to May 2023. A total of 141 male and female participants were included. Demographic details, including gender, number of total practice days per week and prior sports injury experience, were collected. Participants who had experience in playing various outdoor sports were included. The investigator conducted interviews with the participants and the information was noted. The t-test was used for statistical analysis.
Results: The t-test was applied to the SIPM knowledge and attitude scales to analyse differences across demographic factors such as gender, total practice days per week and sports injury experience in the past year. The results showed no significant differences among subjects (t(141)=1.89, p-value>0.05). Pearson’s correlation analysis revealed that total knowledge scores and total attitude scores of SIPM among student athletes were positively correlated (r=0.3, p-value=0.003).
Conclusion: The study concluded a positive correlation between knowledge and attitude, indicating that higher levels of knowledge are associated with a more positive attitude towards prevention and management of sports injuries
Pavement health 4.0: a novel AI-enabled PavementVision approach for pavement health monitoring and classification
No full textTo determine the extent of pavement damage and forms of pavement distress, road pavement conditions must be precisely assessed. As a result, monitoring systems are regarded as an important stage in the maintenance procedure. In recent times, numerous investigations have been carried out to track the condition of pavement and monitor road surfaces. In the undertaken study, we have proposed a novel artificial intelligent (AI) and computer vision-enabled PavementCarevision 4.0 approach to detect and classify pavement health conditions i.e., defects. In this study, a customized pavement-2000 dataset has been designed which contains more than 2,000 images of a variety of pavement defects. In the initial phase, we pre-processed and enhanced pavement images using the customized adjustable linear contrast enhancement methodology. The enhanced pavement image samples were fed to the proposed customized YOLOV8 enabled PavementHealth 4.0 framework for pavement condition detection of a variety of pavement defects such as longitudinal cracks, alligator cracks, transverse cracks, and potholes. The proposed customized YOLOV8 enabled PavementHealth 4.0 framework has achieved an accuracy of 99.20 percent; an receiver operating characteristic (ROC) value of 0.98 and outperformed existing AI-based state-of-the-art methodologies such as pose NET, YOLOv7, YOLOv5, long short-term memory network (LSTM), Mask region-based convolutional neural network (R-CNN), and decision tree
