Article
Chemistry, Analytical
Mitchell Ekdahl, Alex Loewen, Ashley Erdman, Sarp Sahin, Sophia Ulman
Summary: This study evaluates IMUs as an alternative method to measure joint angle range of motion and compares it to optical motion capture. The results suggest that IMUs can be a viable alternative for sport-specific lower-extremity ROM measurement, but the selection of sensor-to-segment calibration methods should be based on the specific tasks and variables of interest.
Article
Engineering, Electrical & Electronic
Shibo Cai, Mingyu Shao, Mingyu Du, Guanjun Bao, Bingfei Fan
Summary: Lower limb joint angles are important clinical indicators for mobility assessment and gait rehabilitation training. This article presents a binocular-camera-assisted alignment procedure to accurately estimate joint angles. A validation experiment on healthy participants demonstrated the effectiveness of the proposed procedure. The proposed alignment procedure shows great potential for practical joint angle estimation in clinical applications.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Yusen Lin, Lingjuan Miao, Zhiqiang Zhou, Changshen Xu
Summary: An error model for dual-axis RINS is established in this study, along with a new calibration method for nonorthogonal angles, which can accurately calibrate all angles. The observability analysis confirms that the proposed nonorthogonal angles are observable.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Bingfei Fan, Qingguo Li, Tian Tan, Peiqi Kang, Peter B. Shull
Summary: This study investigates the effects of sensor-to-segment misalignment and IMU orientation error on the accuracy of 3-D knee joint angle estimation. The results show that sensor-to-segment misalignment significantly affects knee abduction and internal rotation angle estimation, while IMU orientation error significantly affects knee flexion angle estimation.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Leonie Pacher, Christian Chatellier, Pierre Laguillaumie, Rodolphe Vauzelle, Laetitia Fradet
Summary: This study compares different S2S calibration methods for the lower limbs in terms of accuracy, repeatability, and usability, and determines their impact on lower body kinematics. The results provide insights into the strengths and weaknesses of the different methods and propose a scoring system for selecting the most suitable S2S calibration method based on experimental context or subject ability.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Long Liu, Jiayi Liu, Sen Qiu, Zhelong Wang, Hongyu Zhao, Masood Habib, Yongzhen Wang
Summary: This article proposes a motion-capture method based on inertial sensors to analyze the synchronized movements of two canoeists. The results show a significant correlation between the shoulder joint angles of the synchronized canoeists and the ability to analyze posture coordination. This research can help evaluate the synchronization effect of synchronized canoeing and improve technical movements, as well as assist coaches in selecting athletes with matching skills and styles.
IEEE SENSORS JOURNAL
(2023)
Article
Automation & Control Systems
Xin Zhang, Changle Zhou, Fei Chao, Chih-Min Lin, Longzhi Yang, Changjing Shang, Qiang Shen
Summary: This article presents a calibration method for low-cost IMU to improve accuracy by effectively deriving the nonlinear scale factors of the sensors. The validation on both synthetic and real-world data sets showed significantly smaller errors in acceleration and angular velocity compared to existing approaches, demonstrating a remarkable improvement of 64.12% and 47.90%, respectively.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Engineering, Electrical & Electronic
Hakan Carlsson, Isaac Skog, Joakim Jalden
Summary: This paper presents a maximum likelihood estimator for self-calibrating accelerometers and gyroscopes in an inertial sensor array, which does not require external equipment. The estimator uses a computationally efficient iterative optimization method and is evaluated through real-world experiments and simulations, showing consistent parameter estimation and significant improvement in accuracy.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Ufuk Guner, Janset Dasdemir
Summary: This article presents a novel method for self-calibration of IMU with distributed sensor architectures. The proposed method utilizes a servo system and piezoelectric actuator to generate sinusoidal movements for calibration. By analyzing the tangential and centripetal acceleration produced by the servo system, the bias, scale factor, and installation errors of accelerometer and gyroscope sensors can be determined.
IEEE SENSORS JOURNAL
(2023)
Review
Chemistry, Analytical
Zhou Fang, Sarah Woodford, Damith Senanayake, David Ackland
Summary: Inertial measurement units (IMUs) are widely used for evaluating human motion outside the laboratory. However, accurately quantifying upper limb motion using IMUs is still challenging. This systematic review evaluates different computational methods for converting IMU data to joint angles in the upper limb and assesses their accuracy compared to optoelectronic motion analysis. The review finds that the highest accuracy is achieved using Euler angle decomposition and Kalman-based filters. The study also highlights the difficulties in accurately tracking scapulothoracic and glenohumeral joint motion due to skin motion artifacts. Future research should focus on implementing functional joint axis calibrations and IMU-based scapula locators to address these challenges.
Article
Chemistry, Multidisciplinary
Tsige Tadesse Alemayoh, Jae Hoon Lee, Shingo Okamoto
Summary: Gait analysis is important in various applications. This study proposes a neural network-based method for estimating lower-limb joint angles from a single inertial sensor unit and demonstrates that using ankle and thigh positions for the sensor is effective.
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Analytical
Mohsen Sharifi Renani, Abigail M. Eustace, Casey A. Myers, Chadd W. Clary
Summary: This study developed a method to train neural networks using synthetic data to predict joint rotations during gait, showing that models trained on synthetic data generally outperformed those trained only on measured data.
Article
Medicine, General & Internal
Jorge Posada-Ordax, Julia Cosin-Matamoros, Marta Elena Losa-Iglesias, Ricardo Becerro-de-Bengoa-Vallejo, Laura Esteban-Gonzalo, Carlos Martin-Villa, Cesar Calvo-Lobo, David Rodriguez-Sanz
Summary: The study examined the accuracy and repeatability of a commercially available IMU in healthy subjects. Results showed that the IMU is reliable at high speeds but loses reliability at low speeds.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Engineering, Electrical & Electronic
Chunzhi Yi, Seungmin Rho, Baichun Wei, Chifu Yang, Zhen Ding, Zhiyuan Chen, Feng Jiang
Summary: This study proposes a computationally lightweight method to detect and correct IMU movements in real time. The method is validated using both synthetic data and real-user data and shows good performance in detecting IMU movements and restoring the accuracy of joint angle estimation (JAE).
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Biophysics
Joshua A. Goreham, Michel Ladouceur, Kathleem F. E. Maclean
Summary: This research aimed to validate the use of a low-cost IMU system for measuring upper-limb joint angles. By comparing it to passive optical motion capture measures, it was found that the Notch (R) IMUs had significant differences and errors in measuring joint angles during simple ROM and complex functional daily tasks.
JOURNAL OF BIOMECHANICS
(2022)
Article
Engineering, Biomedical
P-A Deleu, A. Naaim, L. Cheze, R. Dumas, Bernhard Devos Bevernage, L. Goubau, J-L Besse, T. Leemrijse
Summary: This study investigated the effects of ankle and hindfoot malalignment on the kinematics and kinetics of multiple joints in the foot and ankle complex in patients with post-traumatic ankle osteoarthritis. The findings revealed significant differences in foot kinematics and kinetics between different alignment groups, highlighting the importance of considering concomitant foot and ankle deformities in future studies.
CLINICAL BIOMECHANICS
(2021)
Article
Neurosciences
Paul-Andre Deleu, Alexandre Naaim, Thibaut Leemrijse, Raphael Dumas, Bernhard Devos Bevernage, Jean-Luc Besse, Xavier Crevoisier, Laurence Cheze
Summary: The study found significant differences in estimating the impact of total ankle replacement on patients' biomechanical performance between one-segment and multi-segment foot models. The use of multi-segment foot modeling is clinically important when assessing the outcome of therapeutic interventions.
Article
Orthopedics
Etienne Deroche, Alexandre Naaim, Timothy Lording, Raphael Dumas, Elvire Servien, Laurence Cheze, Sebastien Lustig, Cecile Batailler
Summary: The study aimed to assess the reliability of femorotibial alignment measured by image-free robotic assistance, comparing measurements taken during surgery with preoperative radiographs and gait analysis. The results showed no significant difference in the femorotibial axis measurements, indicating acceptable reliability of intra-operative robotic-assisted measurements.
ARCHIVES OF ORTHOPAEDIC AND TRAUMA SURGERY
(2022)
Article
Biophysics
R. Dumas, S. Duprey
Summary: This study assessed the influence of four different subject-specific gleno-humeral joint models within multi-body kinematics optimisation, with results indicating that the gleno-humeral sphere-on-sphere joint provided slightly better results, showing promise for shoulder multi-body kinematics optimisation.
JOURNAL OF BIOMECHANICS
(2022)
Article
Biophysics
Paul-Andre Deleu, Alexandre Naaim, Laurence Cheze, Raphael Dumas, Bernhard Devos Bevernage, Ivan Birch, Jean-Luc Besse, Thibaut Leemrijse
Summary: Three-dimensional gait analysis using a multi-segment foot model can provide an objective assessment of total ankle replacement (TAR) for end-stage ankle osteoarthritis. The study found that TAR maintains pre-operative ankle range of motion and improves the biomechanics of foot joints distal to the affected ankle joint.
JOURNAL OF BIOMECHANICS
(2022)
Article
Biophysics
Sacha Guitteny, Yoann Lafon, Vincent Bonnet, Rachid Aissaoui, Raphael Dumas
Summary: Modeling the interface between lower limb segments and external devices is crucial for their design and assessment. This study aimed to estimate soft tissue stiffness at the thigh and shank during daily activities. The results showed that the stiffness coefficients varied depending on the task, subject, segment, and anatomical direction. The use of smooth orthogonal decomposition allowed for estimation of a task-dependent stiffness matrix, which is useful in modeling and assessment of the devices.
JOURNAL OF BIOMECHANICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Y. Blache, I Rogowski, M. Degot, R. Trama, R. Dumas
Summary: The variability of kinematic model parameters has an influence on scapulothoracic angle estimates. This study identifies the parameters that have the largest effect on scapulothoracic angle estimates and shows that altering these parameters can lead to significant variations in scapulothoracic angles. The clavicle length is found to be the most influential parameter in explaining the variance of scapulothoracic angles.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
(2022)
Article
Orthopedics
Paul-Andre Deleu, Alexandre Naaim, Laurence Cheze, Raphael Dumas, Bernhard Devos Bevernage, Ivan Birch, Jean-Luc Besse, Thibaut Leemrijse
Summary: This study found that after total ankle replacement (TAR), the contribution of the ankle joint to the total foot and ankle positive work significantly increased, while the contribution of the Chopart joint significantly decreased. In addition, the overall mechanical work of the foot joints also increased after surgery.
FOOT & ANKLE INTERNATIONAL
(2022)
Article
Neurosciences
Mickael Fonseca, Raphael Dumas, Stephane Armand
Summary: This study proposes a new auto-selection approach to improve the accuracy of gait event detection. By retrospectively analyzing pathological gait data from 272 patients with cerebral palsy and idiopathic toe walking, the results show that this approach outperforms other implemented methods in terms of accuracy.
Article
Engineering, Biomedical
Louis Riglet, Anthony Viste, Tristan De Leissegues, Alexandre Naaim, Herve Liebgott, Raphael Dumas, Michel Henri Fessy, Laure-Lise Gras
Summary: This study aims to visualize and quantify the accuracy of liner orientation for Dual Mobility Cup (DMC) using ultrasound imaging, showing promising results in submerged and cadaveric experiments. It demonstrates the feasibility of measuring liner orientation using ultrasound imaging and lays the foundation for in vivo analysis of DMC movement.
MEDICAL ENGINEERING & PHYSICS
(2022)
Article
Multidisciplinary Sciences
M. Fonseca, M. Bergere, J. Candido, F. Leboeuf, R. Dumas, S. Armand
Summary: Clinical gait analysis is crucial for treatment decisions of patients with motor disorders. However, marker misplacement can affect the reproducibility of measurements, leading to variability in gait analysis. This study assessed the sensitivity of the Conventional Gait Model to marker placement and identified markers that need careful placement to obtain more reliable gait data.
SCIENTIFIC REPORTS
(2022)
Article
Robotics
Filip Becanovic, Vincent Bonnet, Raphael Dumas, Kosta Jovanovic, Samer Mohammed
Summary: Human gait patterns have been extensively investigated to understand and compensate pathologies, but the muscle-force sharing problem remains controversial due to the difficulty of acquiring individual muscle force measurements. Recent studies suggest that muscle-force sharing may be an optimization process. This study proposes using inverse optimal control to identify an objective function and compares its performance to existing biological cost functions.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Engineering, Biomedical
Sacha Guitteny, Rachid Aissaoui, Raphael Dumas
Summary: This study customized a lower limb musculoskeletal model using experimental data from six patients with instrumented total knee arthroplasty. The customized model accurately predicted tibiofemoral contact forces and contact moments, improving predictions compared to a generic model. However, there was variability in the prediction of anterior-posterior force.
ANNALS OF BIOMEDICAL ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Xavier Gasparutto, Alice Bonnefoy-Mazure, Michael Attias, Raphael Dumas, Stephane Armand, Hermes Miozzari
Summary: This preliminary study compared passive knee kinematics measured during surgery with active kinematics measured during walking. The study found that there was weak correlation between the two measurements over the whole gait cycle, indicating low kinematic consistency. However, correlations were better at the phase level, especially the swing phase.
Article
Sport Sciences
Bhrigu K. K. Lahkar, Antoine Muller, Raphael Dumas, Lionel Reveret, Thomas Robert
Summary: Markerless motion capture system shows potential in estimating skeletal kinematics, with higher differences observed at elbow joint positions compared to shoulder and wrist. Segment velocities exhibit good-to-excellent agreement across all segments.
FRONTIERS IN SPORTS AND ACTIVE LIVING
(2022)
