A limited number of studies have explored lower-limb biomechanics during high-heeled jogging and running, and most studies have failed to clarify the wearing experience of subjects. This protocol describes the differences in lower-limb kinematics and ground reaction force (GRF) between experienced wearers (EW) and inexperienced wearers (IEW) during moderate high-heeled jogging and running. A three-dimensional (3D) motion analysis system with a configured force platform was used to synchronously capture lower-limb joint movements and GRF. 36 young females volunteered to participate in this study and were asked about high-heeled shoe-wearing experience, including frequency, duration, heel types, and heel heights. Eleven who had the experience of 3 to 6 cm heels for a minimum of three days per week (6 h per day) for at least two years and eleven who wore high heels less than twice per month participated. Subjects performed jogging and running at comfortable low and high speeds, respectively, with the right foot completely stepping onto a force platform when passing by along a 10 m walkway. EW and IEW adopted different biomechanical adaptations while jogging and running. IEW exhibited a generally larger range of joint movement, while EW showed a dramatically larger loading rate of GRF during running. Hence, further studies on the lower-limb biomechanics of high-heeled gait should strictly control the wearing experience of the subjects.
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http://dx.doi.org/10.3791/55714 | DOI Listing |
Nanoscale
December 2024
Nanomaterials and Systems Laboratory, Major of Mechatronics Engineering, Faculty of Applied Energy Systems, Jeju National University, Jeju-si, Republic of Korea.
Metal-organic frameworks (MOFs) are porous crystalline materials with a metal ion coordinated to a ligand molecule. Recently, MOFs are being explored extensively for energy harvesting triboelectrification. However, the majority of MOFs are brittle and hard to grow, thus leading to poor device stability and flexibility.
View Article and Find Full Text PDFFront Public Health
December 2024
College of Architecture and Urban Planning, Tongji University, Shanghai, China.
Objective: To explore the correlation between park view elements and their combinations on the heart rate (HR) and speed of walkers, joggers, and runners in different groups of people's profiles and walking types, provide suggestions for the planning and design of walking suitability of walking trails in parks, and guide people with different walking needs to scientifically choose walking trails in parks.
Methods: Profile data and exercise data of users who recorded walking activities in Century Park are collected on Strava, and the park view images (PVIs) were taken and segmented semantically. Data are grouped according to gender, age, weight and exercise type, and the quantitative relationship between HR, speed and 17 park view elements is studied by Spearman correlation analysis.
Network
December 2024
Department of Biomedical Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India.
Human Activity Recognition (HAR) systems are designed to continuously monitor human behaviour, mainly in the areas of entertainment and surveillance in intelligent home environments. In this manuscript, Human Activity Recognition utilizing optimized Attention Induced Multi head Convolutional Neural Network with Mobile Net V1 from Mobile Health Data (HAR-AMCNN-MNV1) is proposed. The input data is collected through MHEALTH and UCI HAR datasets.
View Article and Find Full Text PDFCJC Pediatr Congenit Heart Dis
October 2024
Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada.
Musculoskeletal Care
December 2024
Department of Primary Health Care and General Practice, University of Otago, Wellington, New Zealand.
Background: Many outcome measures used in lower-limb osteoarthritis (OA) present ceiling effects. This compromises the ability of those measures to accurately assess people with higher levels of physical function. Understanding of the difficulty and importance of physical activities would enable the inclusion of challenging and meaningful activities in new outcome measures.
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