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Buchmann A, Wenzler S, Welte L, Renjewski D. The effect of including a mobile arch, toe joint, and joint coupling on predictive neuromuscular simulations of human walking. Sci Rep 2024; 14:14879. [PMID: 38937584 PMCID: PMC11211509 DOI: 10.1038/s41598-024-65258-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 06/18/2024] [Indexed: 06/29/2024] Open
Abstract
Predictive neuromuscular simulations are a powerful tool for studying the biomechanics of human walking, and deriving design criteria for technical devices like prostheses or biorobots. Good agreement between simulation and human data is essential for transferability to the real world. The human foot is often modeled with a single rigid element, but knowledge of how the foot model affects gait prediction is limited. Standardized procedures for selecting appropriate foot models are lacking. We performed 2D predictive neuromuscular simulations with six different foot models of increasing complexity to answer two questions: What is the effect of a mobile arch, a toe joint, and the coupling of toe and arch motion through the plantar fascia on gait prediction? and How much of the foot's anatomy do we need to model to predict sagittal plane walking kinematics and kinetics in good agreement with human data? We found that the foot model had a significant impact on ankle kinematics during terminal stance, push-off, and toe and arch kinematics. When focusing only on hip and knee kinematics, rigid foot models are sufficient. We hope our findings will help guide the community in modeling the human foot according to specific research goals and improve neuromuscular simulation accuracy.
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Affiliation(s)
- Alexandra Buchmann
- Chair of Applied Mechanics, Technical University of Munich, 85748, Garching, Germany.
| | - Simon Wenzler
- Chair of Applied Mechanics, Technical University of Munich, 85748, Garching, Germany
| | - Lauren Welte
- Department of Mechanical Engineering, University of Alberta, Edmonton, AB, T6G 2R3, Canada
| | - Daniel Renjewski
- Chair of Applied Mechanics, Technical University of Munich, 85748, Garching, Germany
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Baček T, Sun M, Liu H, Chen Z, Manzie C, Burdet E, Kulić D, Oetomo D, Tan Y. A biomechanics and energetics dataset of neurotypical adults walking with and without kinematic constraints. Sci Data 2024; 11:646. [PMID: 38890343 PMCID: PMC11189391 DOI: 10.1038/s41597-024-03444-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 05/30/2024] [Indexed: 06/20/2024] Open
Abstract
Numerous studies have explored the biomechanics and energetics of human walking, offering valuable insights into how we walk. However, prior studies focused on changing external factors (e.g., walking speed) and examined group averages and trends rather than individual adaptations in the presence of internal constraints (e.g., injury-related muscle weakness). To address this gap, this paper presents an open dataset of human walking biomechanics and energetics collected from 21 neurotypical young adults. To investigate the effects of internal constraints (reduced joint range of motion), the participants are both the control group (free walking) and the intervention group (constrained walking - left knee fully extended using a passive orthosis). Each subject walked on a dual-belt treadmill at three speeds (0.4, 0.8, and 1.1 m/s) and five step frequencies ( - 10% to 20% of their preferred frequency) for a total of 30 test conditions. The dataset includes raw and segmented data featuring ground reaction forces, joint motion, muscle activity, and metabolic data. Additionally, a sample code is provided for basic data manipulation and visualisation.
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Affiliation(s)
- Tomislav Baček
- The University of Melbourne, Department of Mechanical Engineering, 3010, Melbourne, Australia.
| | - Mingrui Sun
- The University of Melbourne, Department of Mechanical Engineering, 3010, Melbourne, Australia
| | - Hengchang Liu
- The University of Melbourne, Department of Mechanical Engineering, 3010, Melbourne, Australia
| | - Zhongxiang Chen
- Monash University, Faculty of Engineering, 3800, Melbourne, Australia
| | - Chris Manzie
- The University of Melbourne, Department of Electrical and Electronic Engineering, 3010, Melbourne, Australia
| | - Etienne Burdet
- Imperial College London, Department of Bioengineering, London, United Kingdom
| | - Dana Kulić
- Monash University, Faculty of Engineering, 3800, Melbourne, Australia
| | - Denny Oetomo
- The University of Melbourne, Department of Mechanical Engineering, 3010, Melbourne, Australia
| | - Ying Tan
- The University of Melbourne, Department of Mechanical Engineering, 3010, Melbourne, Australia
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Riglet L, Delphin C, Claquesin L, Orliac B, Ornetti P, Laroche D, Gueugnon M. 3D motion analysis dataset of healthy young adult volunteers walking and running on overground and treadmill. Sci Data 2024; 11:556. [PMID: 38816523 PMCID: PMC11139954 DOI: 10.1038/s41597-024-03420-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 05/24/2024] [Indexed: 06/01/2024] Open
Abstract
Used on clinical and sportive context, three-dimensional motion analysis is considered as the gold standard in the biomechanics field. The proposed dataset has been established on 30 asymptomatic young participants. Volunteers were asked to walk at slow, comfortable and fast speeds, and to run at comfortable and fast speeds on overground and treadmill using shoes. Three dimensional trajectories of 63 reflective markers, 3D ground reaction forces and moments were simultaneously recorded. A total of 4840 and 18159 gait cycles were measured for overground and treadmill walking, respectively. Additionally, 2931 and 18945 cycles were measured for overground and treadmill running, respectively. The dataset is presented in C3D and CSV files either in raw or pre-processed format. The aim of this dataset is to provide a complete set of data that will help for the gait characterization during clinical gait analysis and in a sportive context. This data could be used for the creation of a baseline database for clinical purposes to research activities exploring the gait and the run.
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Affiliation(s)
- Louis Riglet
- INSERM, CIC 1432, Module Plurithématique, Plateforme d'Investigation Technologique, 21000, Dijon, France.
- CHU Dijon-Bourgogne, Centre d'Investigation Clinique, Module Plurithématique, Plateforme d'Investigation Technologique, 21000, Dijon, France.
| | - Corentin Delphin
- INSERM, CIC 1432, Module Plurithématique, Plateforme d'Investigation Technologique, 21000, Dijon, France
- CHU Dijon-Bourgogne, Centre d'Investigation Clinique, Module Plurithématique, Plateforme d'Investigation Technologique, 21000, Dijon, France
| | - Lauranne Claquesin
- INSERM, CIC 1432, Module Plurithématique, Plateforme d'Investigation Technologique, 21000, Dijon, France
- CHU Dijon-Bourgogne, Centre d'Investigation Clinique, Module Plurithématique, Plateforme d'Investigation Technologique, 21000, Dijon, France
| | - Baptiste Orliac
- INSERM, CIC 1432, Module Plurithématique, Plateforme d'Investigation Technologique, 21000, Dijon, France
- CHU Dijon-Bourgogne, Centre d'Investigation Clinique, Module Plurithématique, Plateforme d'Investigation Technologique, 21000, Dijon, France
| | - Paul Ornetti
- INSERM, CIC 1432, Module Plurithématique, Plateforme d'Investigation Technologique, 21000, Dijon, France
- CHU Dijon-Bourgogne, Centre d'Investigation Clinique, Module Plurithématique, Plateforme d'Investigation Technologique, 21000, Dijon, France
- INSERM, UMR1093-CAPS, Univ. Bourgogne Franche-Comté, UB, 21000, Dijon, France
- Rheumatology department, CHU Dijon-Bourgogne, 21000, Dijon, France
- Collaborative Research Network STARTER, Innovative Strategies and Artificial Intelligence for Motor Function Rehabilitation and Autonomy Preservation, 21000, Dijon, France
| | - Davy Laroche
- INSERM, CIC 1432, Module Plurithématique, Plateforme d'Investigation Technologique, 21000, Dijon, France
- CHU Dijon-Bourgogne, Centre d'Investigation Clinique, Module Plurithématique, Plateforme d'Investigation Technologique, 21000, Dijon, France
- INSERM, UMR1093-CAPS, Univ. Bourgogne Franche-Comté, UB, 21000, Dijon, France
- Collaborative Research Network STARTER, Innovative Strategies and Artificial Intelligence for Motor Function Rehabilitation and Autonomy Preservation, 21000, Dijon, France
| | - Mathieu Gueugnon
- INSERM, CIC 1432, Module Plurithématique, Plateforme d'Investigation Technologique, 21000, Dijon, France.
- CHU Dijon-Bourgogne, Centre d'Investigation Clinique, Module Plurithématique, Plateforme d'Investigation Technologique, 21000, Dijon, France.
- INSERM, UMR1093-CAPS, Univ. Bourgogne Franche-Comté, UB, 21000, Dijon, France.
- Collaborative Research Network STARTER, Innovative Strategies and Artificial Intelligence for Motor Function Rehabilitation and Autonomy Preservation, 21000, Dijon, France.
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Wiles TM, Mangalam M, Sommerfeld JH, Kim SK, Brink KJ, Charles AE, Grunkemeyer A, Kalaitzi Manifrenti M, Mastorakis S, Stergiou N, Likens AD. NONAN GaitPrint: An IMU gait database of healthy young adults. Sci Data 2023; 10:867. [PMID: 38052819 PMCID: PMC10698035 DOI: 10.1038/s41597-023-02704-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 10/31/2023] [Indexed: 12/07/2023] Open
Abstract
An ongoing thrust of research focused on human gait pertains to identifying individuals based on gait patterns. However, no existing gait database supports modeling efforts to assess gait patterns unique to individuals. Hence, we introduce the Nonlinear Analysis Core (NONAN) GaitPrint database containing whole body kinematics and foot placement during self-paced overground walking on a 200-meter looping indoor track. Noraxon Ultium MotionTM inertial measurement unit (IMU) sensors sampled the motion of 35 healthy young adults (19-35 years old; 18 men and 17 women; mean ± 1 s.d. age: 24.6 ± 2.7 years; height: 1.73 ± 0.78 m; body mass: 72.44 ± 15.04 kg) over 18 4-min trials across two days. Continuous variables include acceleration, velocity, position, and the acceleration, velocity, position, orientation, and rotational velocity of each corresponding body segment, and the angle of each respective joint. The discrete variables include an exhaustive set of gait parameters derived from the spatiotemporal dynamics of foot placement. We technically validate our data using continuous relative phase, Lyapunov exponent, and Hurst exponent-nonlinear metrics quantifying different aspects of healthy human gait.
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Affiliation(s)
- Tyler M Wiles
- Division of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE, 68182, USA
| | - Madhur Mangalam
- Division of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE, 68182, USA
| | - Joel H Sommerfeld
- Division of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE, 68182, USA
| | - Seung Kyeom Kim
- Division of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE, 68182, USA
| | - Kolby J Brink
- Division of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE, 68182, USA
| | - Anaelle Emeline Charles
- Division of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE, 68182, USA
| | - Alli Grunkemeyer
- Division of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE, 68182, USA
| | - Marilena Kalaitzi Manifrenti
- Division of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE, 68182, USA
| | - Spyridon Mastorakis
- College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE, 68182, USA
| | - Nick Stergiou
- Division of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE, 68182, USA
- Department of Physical Education and Sport Science, Aristotle University, Thessaloniki, Greece
| | - Aaron D Likens
- Division of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE, 68182, USA.
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Zhu R, Yang X, Chong LC, Shao S, István B, Gu Y. Biomechanics of Topspin Forehand Loop in Table Tennis: An Application of OpenSim Musculoskeletal Modelling. Healthcare (Basel) 2023; 11:healthcare11091216. [PMID: 37174758 PMCID: PMC10177840 DOI: 10.3390/healthcare11091216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 04/20/2023] [Accepted: 04/22/2023] [Indexed: 05/15/2023] Open
Abstract
Topspin is one of the most attacking strokes in table tennis, and topspin forehand loop is an effective way to score. The aim of this study was to investigate the kinematics of the lower extremities in topspin forehand loop between different levels via OpenSim Musculoskeletal Modelling. Ten elite athletes (NL1) and ten medium athletes (NL2) performed the topspin forehand loop without muscle and joint injuries. An eight-camera Vicon motion capture system was used to measure the kinematics data. During the topspin forehand loop, the forward phase (FP) and the entire phase (EP) of the NL1 were significantly shorter than that of the NL2. In the sagittal plane, NL1 significantly had greater hip and ankle flexion and extension at range of motion (ROM) but less hip flexion and knee flexion at FP and less ankle flexion at BP than NL2. In the frontal plane, NL1 displayed less ROM in the hip joint and significantly less hip abduction ROM at the backward phase (BP). In the transverse plane, NL1 had a significantly greater ROM in the hip joint and displayed significantly less hip ROM at the BP. The level differences presented in this study could help table tennis athletes to improve performance and coaches to develop technical training.
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Affiliation(s)
- Ruizhe Zhu
- Faculty of Sports Science, Ningbo University, Ningbo 315211, China
| | - Xiaoyi Yang
- Faculty of Sports Science, Ningbo University, Ningbo 315211, China
| | - Luis C Chong
- Faculty of Sports Science, Ningbo University, Ningbo 315211, China
| | - Shirui Shao
- Faculty of Sports Science, Ningbo University, Ningbo 315211, China
| | - Bíró István
- Faculty of Engineering, University of Szeged, 6720 Szeged, Hungary
| | - Yaodong Gu
- Faculty of Sports Science, Ningbo University, Ningbo 315211, China
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