A public dataset of running biomechanics and the effects of running speed on lower extremity kinematics and kinetics Reginaldo K Fukuchi

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Biomechanical Gait Analysis of an Adult with Severe Hemophilia: A Case Report

Hemophilia is characterized by recurrent bleeding into the joints leading to irreversible chronic arthropathy with reduced joint range of motion (ROM), which may lead to changes in gait patterns. To analyze the gait pattern in a 35-year-old male with severe hemophilia A, three-dimensional biomechanical analysis was performed during overground walking. The control group data from a public gait dataset of 10 healthy male individuals were used for comparison. The clinical examination was assessed with the Functional Independence Score in Hemophilia (FISH), Haemophilia Activities List (HAL), and Hemophilia Joint Health Score (HJHS). The biomechanical analysis demonstrated a pattern for both left knee and ankle joints with greater similarity to the control group compared to the right knee and ankle joints. ROM based on the HJHS questionnaire also showed greater impairment of the right-side knee joint compared to the left-side knee joint. This unique pattern could be the result of a compensation mechanism due to limited movement during the walking task and the surgical treatment

A public dataset of running biomechanics and the effects of running speed on lower extremity kinematics and kinetics

Background The goals of this study were (1) to present the set of data evaluating running biomechanics (kinematics and kinetics), including data on running habits, demographics, and levels of muscle strength and flexibility made available at Figshare (DOI: 10.6084/m9.figshare.4543435); and (2) to examine the effect of running speed on selected gait-biomechanics variables related to both running injuries and running economy. Methods The lower-extremity kinematics and kinetics data of 28 regular runners were collected using a three-dimensional (3D) motion-capture system and an instrumented treadmill while the subjects ran at 2.5 m/s, 3.5 m/s, and 4.5 m/s wearing standard neutral shoes. Results A dataset comprising raw and processed kinematics and kinetics signals pertaining to this experiment is available in various file formats. In addition, a file of metadata, including demographics, running characteristics, foot-strike patterns, and muscle strength and flexibility measurements is provided. Overall, there was an effect of running speed on most of the gait-biomechanics variables selected for this study. However, the foot-strike patterns were not affected by running speed. Discussion Several applications of this dataset can be anticipated, including testing new methods of data reduction and variable selection; for educational purposes; and answering specific research questions. This last application was exemplified in the study’s second objective

A public dataset of overground and treadmill walking kinematics and kinetics in healthy individuals

In a typical clinical gait analysis, the gait patterns of pathological individuals are commonly compared with the typically faster, comfortable pace of healthy subjects. However, due to potential bias related to gait speed, this comparison may not be valid. Publicly available gait datasets have failed to address this issue. Therefore, the goal of this study was to present a publicly available dataset of 42 healthy volunteers (24 young adults and 18 older adults) who walked both overground and on a treadmill at a range of gait speeds. Their lower-extremity and pelvis kinematics were measured using a three-dimensional (3D) motion-capture system. The external forces during both overground and treadmill walking were collected using force plates and an instrumented treadmill, respectively. The results include both raw and processed kinematic and kinetic data in different file formats: c3d and ASCII files. In addition, a metadata file is provided that contain demographic and anthropometric data and data related to each file in the dataset. All data are available at Figshare (DOI: 10.6084/m9.figshare.5722711). We foresee several applications of this public dataset, including to examine the influences of speed, age, and environment (overground vs. treadmill) on gait biomechanics, to meet educational needs, and, with the inclusion of additional participants, to use as a normative dataset

A data set with kinematic and ground reaction forces of human balance

<p>This data set comprises data with the three-dimensional kinematics of the whole body and the ground reaction forces (with a dual force platform setup) of subjects standing still for 60 s in different conditions where vision and the standing surface were manipulated. Twenty-seven young subjects and 22 old subjects were evaluated.</p><p>The data set comprises a file with meta data plus 1813 files with the ground reaction force and kinematics data for the 49 subjects (3 files for each of the 12 trials plus one file for each subject). The file with meta data has information about the subject’s sociocultural, demographic, and health characteristics.</p><p>A companion Jupyter Notebook (available at <a href="https://github.com/demotu/datasets">https://github.com/demotu/datasets/tree/master/PDS</a>) presents the programming code to generate such analyses and other examples.<br></p

Biomechanical Gait Analysis of an Adult with Severe Hemophilia: A Case Report

Hemophilia is characterized by recurrent bleeding into the joints leading to irreversible chronic arthropathy with reduced joint range of motion (ROM), which may lead to changes in gait patterns. To analyze the gait pattern in a 35-year-old male with severe hemophilia A, three-dimensional biomechanical analysis was performed during overground walking. The control group data from a public gait dataset of 10 healthy male individuals were used for comparison. The clinical examination was assessed with the Functional Independence Score in Hemophilia (FISH), Haemophilia Activities List (HAL), and Hemophilia Joint Health Score (HJHS). The biomechanical analysis demonstrated a pattern for both left knee and ankle joints with greater similarity to the control group compared to the right knee and ankle joints. ROM based on the HJHS questionnaire also showed greater impairment of the right-side knee joint compared to the left-side knee joint. This unique pattern could be the result of a compensation mechanism due to limited movement during the walking task and the surgical treatment

Development of a skin temperature map for dermatomes in individuals with spinal cord injury: a cross-sectional study

The aim of this study was to map the skin temperature (Tsk) of individuals with SCI and compare able-bodied individuals, and among the groups to demonstrate the effects of differences in the levels of injury (paraplegia and tetraplegia with high and low injuries). Outpatient clinic, Brazil. Individuals with tetraplegia (n = 20), paraplegia (n = 21), and able-bodied (n = 11) individuals were recruited. A noncontact infrared thermometer (IRT) was used to measure three times the Tsk at the forehead, and at the C2 to S2 dermatomes. Core body temperature was measured at the axilla using the IRT and three other clinical thermometers. Autonomic regulation is impaired by the injury. A Tsk map was constructed for the three groups. Significant differences in the Tsk of dermatomes were observed when comparing individuals with SCI and the able-bodied at the following dermatomes: C3, C7, T2, T3, T8, T9, L1, L2, L4, and S2. When comparing individuals with tetraplegia and able-bodied individuals, the dermatomes that showed significant differences were C5, C6, C8, T1, T10, L3, and S1. Dermatomes C5–C7, and T5 showed significant differences between individuals with tetraplegia and those with paraplegia. For L5 and S1 in paraplegia significant differences were found when comparing high with low injury. A Tsk map on dermatomes in individuals with SCI was implemented, and showed a significant difference between able-bodied. As temperature is a parameter for analyzing autonomic function, the study could benefit rehabilitation by providing baseline values when constructing clinical protocols5810901095CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP140215/2014–02016/50253-