Normative 3D gait data of healthy adults walking at three different speeds on an instrumented treadmill in virtual reality
A normative gait dataset of 246 healthy adults (122 men / 124 women, range in age 18-91 years, body weight 46.80-116.10 kg, height 1.53-1.97 m and BMI 18.25-35.63 kg/m2) is presented and publicly shared for three walking speed conditions.Raw and processed data are presented for each subject separate...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-04-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340924002014 |
| _version_ | 1797256324121100288 |
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| author | Rachel Senden Rik Marcellis Paul Willems Marianne Witlox Kenneth Meijer |
| author_facet | Rachel Senden Rik Marcellis Paul Willems Marianne Witlox Kenneth Meijer |
| author_sort | Rachel Senden |
| collection | DOAJ |
| description | A normative gait dataset of 246 healthy adults (122 men / 124 women, range in age 18-91 years, body weight 46.80-116.10 kg, height 1.53-1.97 m and BMI 18.25-35.63 kg/m2) is presented and publicly shared for three walking speed conditions.Raw and processed data are presented for each subject separately and for each walking speed, including data of every single step of both legs. The subject demographics and results from the physical examination are also presented which allows researchers and clinicians to create a self-selected reference group based on specific demographics. Besides the data per individual, data are also presented in age and gender groups. This provides a quick overview of healthy gait parameters which is relevant for use in clinical practice.Three dimensional gait analysis was performed at the Computer Assisted Rehabilitation Environment (CAREN) at the Maastricht University Medical Centre (MUMC+). Subjects walked on the instrumented treadmill surrounded with twelve 3D cameras, three 2D cameras and a virtual industrial environment projected on a 180° screen using the Human Body Lower Limb Model with trunk markers (HBM-II) as biomechanical model [1,2].Subjects walked at comfortable walking speed, 30% slower and 30% faster. These walking speed conditions were applied in a random sequence. Comfortable walking speed was determined using a RAMP protocol: subjects started to walk at 0.5m/s and every second the speed was increased with 0.01 m/s until the preferred speed was reached. The average of three repetitions was considered the comfortable speed. For each walking speed condition, 250 steps were recorded.The 3D gait data was collected using the D-flow CAREN software. For each subject, raw data of each walking speed condition is provided in .mox files, including the output from the model such as subject data (e.g. gender, body mass, knee and ankle width), center of mass (CoM), marker and force data, kinematic data (joint angles) and kinetic data (joint moments, ground reaction forces (GRFs) and joint powers) for each single step of both legs. Unfiltered and filtered data are included. C3D files with raw marker and GRF data were recorded in Nexus (Vicon software, version 2.8.1) and are available upon request.Raw data were processed in Matlab (Mathworks 2016), including quality check, step determination and the exportation of data to .xls files. For each adult and for each walking speed, an .xls file was created, containing spatiotemporal parameters, medio-lateral (ML) and back-forward (BF) margins of stability (MoS), 3D joint angles, anterior-posterior (AP) and vertical GRFs, 3D joint moments and 3D joint power of each step of both legs. Overview files per walking speed condition are created in .xls, presenting the averaged gait parameters (calculated as average over all valid steps) of every subject. The processed data is also presented and visualized per gender for different age groups (18-29 years, 30-39 years, 40-49 years, 50-59 years, 60-69 years, ≥70 years). This can serve as normative data for treadmill based 3D gait analyses in adults, applicable for clinical and research purposes. Data is available at OSF.io (https://osf.io/t72cw/). |
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| id | doaj.art-275e3a77fc194e988ef86b5903a5248e |
| institution | Directory Open Access Journal |
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| language | English |
| last_indexed | 2024-04-24T22:19:56Z |
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| series | Data in Brief |
| spelling | doaj.art-275e3a77fc194e988ef86b5903a5248e2024-03-20T06:10:13ZengElsevierData in Brief2352-34092024-04-0153110230Normative 3D gait data of healthy adults walking at three different speeds on an instrumented treadmill in virtual realityRachel Senden0Rik Marcellis1Paul Willems2Marianne Witlox3Kenneth Meijer4Corresponding author at: MUMC+, dept. Physical Therapy PO box 5800, 6202 AZ Maastricht, the Netherlands.; Department of Physical Therapy, Maastricht University Medical Center (MUMC+), Maastricht, the NetherlandsDepartment of Physical Therapy, Maastricht University Medical Center (MUMC+), Maastricht, the NetherlandsDepartment of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the NetherlandsDepartment of Orthopaedic Surgery, MUMC+, Maastricht, the Netherlands; Research School CAPHRI, Maastricht University, Maastricht, the NetherlandsDepartment of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the NetherlandsA normative gait dataset of 246 healthy adults (122 men / 124 women, range in age 18-91 years, body weight 46.80-116.10 kg, height 1.53-1.97 m and BMI 18.25-35.63 kg/m2) is presented and publicly shared for three walking speed conditions.Raw and processed data are presented for each subject separately and for each walking speed, including data of every single step of both legs. The subject demographics and results from the physical examination are also presented which allows researchers and clinicians to create a self-selected reference group based on specific demographics. Besides the data per individual, data are also presented in age and gender groups. This provides a quick overview of healthy gait parameters which is relevant for use in clinical practice.Three dimensional gait analysis was performed at the Computer Assisted Rehabilitation Environment (CAREN) at the Maastricht University Medical Centre (MUMC+). Subjects walked on the instrumented treadmill surrounded with twelve 3D cameras, three 2D cameras and a virtual industrial environment projected on a 180° screen using the Human Body Lower Limb Model with trunk markers (HBM-II) as biomechanical model [1,2].Subjects walked at comfortable walking speed, 30% slower and 30% faster. These walking speed conditions were applied in a random sequence. Comfortable walking speed was determined using a RAMP protocol: subjects started to walk at 0.5m/s and every second the speed was increased with 0.01 m/s until the preferred speed was reached. The average of three repetitions was considered the comfortable speed. For each walking speed condition, 250 steps were recorded.The 3D gait data was collected using the D-flow CAREN software. For each subject, raw data of each walking speed condition is provided in .mox files, including the output from the model such as subject data (e.g. gender, body mass, knee and ankle width), center of mass (CoM), marker and force data, kinematic data (joint angles) and kinetic data (joint moments, ground reaction forces (GRFs) and joint powers) for each single step of both legs. Unfiltered and filtered data are included. C3D files with raw marker and GRF data were recorded in Nexus (Vicon software, version 2.8.1) and are available upon request.Raw data were processed in Matlab (Mathworks 2016), including quality check, step determination and the exportation of data to .xls files. For each adult and for each walking speed, an .xls file was created, containing spatiotemporal parameters, medio-lateral (ML) and back-forward (BF) margins of stability (MoS), 3D joint angles, anterior-posterior (AP) and vertical GRFs, 3D joint moments and 3D joint power of each step of both legs. Overview files per walking speed condition are created in .xls, presenting the averaged gait parameters (calculated as average over all valid steps) of every subject. The processed data is also presented and visualized per gender for different age groups (18-29 years, 30-39 years, 40-49 years, 50-59 years, 60-69 years, ≥70 years). This can serve as normative data for treadmill based 3D gait analyses in adults, applicable for clinical and research purposes. Data is available at OSF.io (https://osf.io/t72cw/).http://www.sciencedirect.com/science/article/pii/S2352340924002014Gait analysisHealthy adultsCARENSpatiotemporal parametersJoint anglesGround reaction forces |
| spellingShingle | Rachel Senden Rik Marcellis Paul Willems Marianne Witlox Kenneth Meijer Normative 3D gait data of healthy adults walking at three different speeds on an instrumented treadmill in virtual reality Data in Brief Gait analysis Healthy adults CAREN Spatiotemporal parameters Joint angles Ground reaction forces |
| title | Normative 3D gait data of healthy adults walking at three different speeds on an instrumented treadmill in virtual reality |
| title_full | Normative 3D gait data of healthy adults walking at three different speeds on an instrumented treadmill in virtual reality |
| title_fullStr | Normative 3D gait data of healthy adults walking at three different speeds on an instrumented treadmill in virtual reality |
| title_full_unstemmed | Normative 3D gait data of healthy adults walking at three different speeds on an instrumented treadmill in virtual reality |
| title_short | Normative 3D gait data of healthy adults walking at three different speeds on an instrumented treadmill in virtual reality |
| title_sort | normative 3d gait data of healthy adults walking at three different speeds on an instrumented treadmill in virtual reality |
| topic | Gait analysis Healthy adults CAREN Spatiotemporal parameters Joint angles Ground reaction forces |
| url | http://www.sciencedirect.com/science/article/pii/S2352340924002014 |
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