Open Kinematic Dataset of Walking at Different Speeds in Type 2 Diabetes and Control Participants
<p>The dataset includes kinematics data recorded by a Motion Capture System (Vicon Motion System, Oxford, UK) at 100Hz. Data were filtered (fourth-order zero-lag Butterworth low-pass filter with a cutoff frequency of 6 Hz) and exported with Vicon’s Nexus 2.15 software.</p> <p><b> DM2_kinematics_data...
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| Other Authors: | , |
| Format: | dataset |
| Published: |
2025
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| Online Access: | https://doi.org/10.60895/redata/SB0OXW |
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| Summary: | <p>The dataset includes kinematics data recorded by a Motion Capture System (Vicon Motion System, Oxford, UK) at 100Hz. Data were filtered (fourth-order zero-lag Butterworth low-pass filter with a cutoff frequency of 6 Hz) and exported with Vicon’s Nexus 2.15 software.</p> <p><b> DM2_kinematics_data (JSON Dataset)</b></p> <p><b> CG_kinematics_data (JSON Dataset)</b></p> <p>These datasets contain walking trials data collected across 37 subjects: 15 with type 2 diabetes mellitus (DM2) and 22 healthy participants (CG). The groups were paired for age and sex. Each participant performed 5 sessions on a treadmill at different constant speeds: the individual's self-selected walking speed (SSWS), two speeds above and two speeds below the SSWS. During each session, up to three 30-second trials were recorded by the MOCAP system. The data is stored as a hierarchical JSON file for ease of parsing, analysis, and expansion.</p> --- <p><b> Structure</b></p> <p>The data is organized in four hierarchical levels:</p> <p>Subject ID → Speed → Trial Number → Kinematic Variables (markers 3D position)</p> <p>Where:</p> <p>-- **Subject ID**: A numeric string (e.g., `"7"`), - **Speed**: Integer string representing the gait speedin hm/h (e.g., `"18"` means 1.8 km/h). Speed values can be easily converted to m/s by dividing for 36 (e.g. 18/36 = 0.5 m/s). - **Trial Number**: A string ID for each 30-second trial (e.g., `"1"`, `"2"`, etc.)</p> <p>-Each trial entry contains a dictionary of 56 sampled variables over time: Frame and Subframe are index vars - The following variables are grouped by three, and named as right or left (R, L) + the name of the body marker + the axis (e.g. RLOBx, RLOBy, RLOBz, for a total of 9 anatomical positions and 18 markers). LOB = Temporal lobe; SH = Acromion; ELB = Elbow; WR = Ulnar stiloyd process; GT = Great Trochanter; KN = Knee (lateral); AN = Malleolus lateral; HEE = Heel; MT = 5th Metatarsal. The 3D space was calibrated following the right hand rule, with the axis "X" = mediolateral; "Y" = anteroposterior; "Z" = vertical. Values are in mm.</p> <p><b> Subjects_groups_db (CSV File)</b></p> <p>This table contains the participants' data</p> --- </head> <body> <p><b> Example </b></p> <pre><code>{ { "7": { "45": { "1": { "Frame": [1, 2, 3, ...], "Subframe": [0, 0, 0, ...], "RLOBx": [61.44, 61.92, 60.88, ...], "RLOBy": [56.09, 56.09, 54.58, ...], ... } } } }</code></pre> </body> </html> |
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