Article
Chemistry, Analytical
Alfonso Maria Ponsiglione, Carlo Ricciardi, Francesco Amato, Mario Cesarelli, Giuseppe Cesarelli, Giovanni D'Addio
Summary: Neurodegenerative disorders have a negative impact on quality of life and healthcare expenditure. This study proposes a methodology to analyze and extract kinematic parameters in upper limb movements, and identifies a subset of significant parameters that could serve as potential indicators of rehabilitation outcome in Parkinson's disease.
Article
Automation & Control Systems
Jin Huang, Guoxin Li, Hang Su, Zhijun Li
Summary: This article proposes a new continuous control scheme for the upper-limb prosthesis using EMG signals, which improves the performance of the prosthesis. Experimental results demonstrate the effectiveness of the proposed algorithm in achieving reach and grasp tasks, highlighting the importance of an adequate control scheme for EMG-guided prostheses.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Review
Psychology, Multidisciplinary
Sonia Betti, Umberto Castiello, Chiara Begliomini
Summary: This review investigates how reach-to-grasp movements are influenced by multisensory information, emphasizing the importance of multisensory elements in shaping prehensile behavior and providing some considerations for future research developments.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Medicine, General & Internal
Ines Bersch, Jan Friden
Summary: The study found that direct electrical stimulation can increase the muscle thickness and pennation angle of denervated intrinsic and extrinsic hand muscles in patients with spinal cord injury and tetraplegia.
Article
Clinical Neurology
Hyoseon Choi, Dongho Park, Dong-Wook Rha, Hyo Suk Nam, Yea Jin Jo, Deog Young Kim
Summary: This study aimed to evaluate the kinematic movement patterns during a reach-and-grasp task in post-stroke patients according to the upper extremity impairment severity. The severe group showed distinct movement patterns including longer movement time, lower peak velocity, and higher number of movement units. The Fugl-Meyer Assessment (FMA) score was significantly associated with various kinematic parameters.
FRONTIERS IN NEUROLOGY
(2023)
Article
Multidisciplinary Sciences
Giovanni Ottoboni, Fabio La Porta, Roberto Piperno, Rabih Chattat, Annalisa Bosco, Patrizia Fattori, Alessia Tessari
Summary: This study aims to explore the acceptability of AI-assisted technologies for enhancing recovery in acquired brain injury and spinal cord injury patients. By interviewing patients and caregivers, their needs and expectations for the functionalities and services of assistive devices are assessed, taking into account technical, health-related, and psycho-social factors.
Article
Multidisciplinary Sciences
Vonne van Polanen
Summary: The study found that the planning and execution of reach-to-grasp movements do not reliably affect the perception of object size. Even when adjusting the size during grasping, it does not bias the perception of object size or alter discrimination performance.
Article
Biochemistry & Molecular Biology
Luke Shaw, Kuan Hong Wang, Jude Mitchell
Summary: Primates have developed sophisticated reaching behaviors for interacting with dynamic objects during foraging. Previous research focused on constrained reaching paradigms, but a recent study in marmoset monkeys showed the predictive aspects of visually guided reaching in a more natural setting. To explore this further, the researchers developed an unrestrained reach-to-grasp task involving live crickets. By using high-speed cameras and machine vision algorithms, they found that reaching for dynamic targets can occur with very short visuo-motor delays, with predictions of future location compensating for these delays. These findings suggest the importance of visual prediction in facilitating online movement adjustments for dynamic prey.
Article
Automation & Control Systems
Chang He, Xiao-Wei Xu, Xiong-Fei Zheng, Cai-Hua Xiong, Quan-Lin Li, Wen-Bin Chen, Bai-Yang Sun
Summary: This article presents a computational framework for generating anthropomorphic reaching movement with human motion characteristics, imitating the mechanism in the control and realization of human upper limb motions. By establishing a continuous task parametric model using Gaussian mixture regression method, the proposed method achieves smooth trajectory and natural obstacle avoidance in anthropomorphic motion generation.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Engineering, Biomedical
Anne Schwarz, Miguel M. C. Bhagubai, Saskia H. G. Nies, Jeremia P. O. Held, Peter H. Veltink, Jaap H. Buurke, Andreas R. Luft
Summary: This study provides a comprehensive assessment of upper limb kinematics in stroke subjects, revealing differences between gesture and grasp movements and changes with impairment level. The study also identifies consistent metric expressions and relationships between different tasks and subgroups. These findings have important implications for future research and task/study comparisons.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2022)
Article
Engineering, Electrical & Electronic
L. Truppa, E. Bergamini, P. Garofalo, G. Vannozzi, A. M. Sabatini, A. Mannini
Summary: The study aims to validate a magnetic-free version of the UKF algorithm for upper limb kinematic analysis. The algorithm was tested on ten expert yoga practitioners during complex 3-D movements. The results showed high accuracy of the algorithm and no significant differences compared to another method (EKF).
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Biomedical
Giuseppe Cesarelli, Leandro Donisi, Francesco Amato, Maria Romano, Mario Cesarelli, Giovanni D'Addio, Alfonso M. Ponsiglione, Carlo Ricciardi
Summary: This study used upper limb motion tasks to extract 24 motion signals, and built models through binary logistic regression and machine learning analysis to distinguish patients with Parkinson's Disease and healthy controls. The results showed that the maximum jerk during upper limb motion was of great importance in distinguishing Parkinson's Disease, and the machine learning analysis achieved an accuracy of over 95%.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Health Care Sciences & Services
Daniela B. Kuchen, Beatrice Hubacher, Andris Ladner, Inge-Marie Velstra, Mario Widmer
Summary: This article describes the implementation of technology-assisted upper limb training in a Swiss spinal cord injury rehabilitation center and reports the observed changes. Data analysis showed improvements in functional goals, muscle strength, and other areas over the course of training.
Article
Computer Science, Information Systems
Francisco J. Ruiz-Ruiz, Juan M. Gandarias, Francisco Pastor, Jesus M. Gomez-De-Gabriel
Summary: Assistive and rehabilitation robotics have seen significant progress in recent years, but challenges related to intentional physical contact with humans persist. This paper proposes a pose estimation method using a compliant robotic manipulator for upper-limb manipulation, addressing the lack of work in intentionally manipulating human body parts. The methodology, based on estimation of human arm kinematic parameters, demonstrates repeatability and effectiveness in various experimental scenarios, offering potential applications in rehabilitation robotics.
Article
Medicine, General & Internal
Saad Javeed, Jacob K. Greenberg, Justin K. Zhang, Christopher F. Dibble, Jawad M. Khalifeh, Ying Liu, Thomas J. Wilson, Lynda J. Yang, Yikyung Park, Wilson Z. Ray
Summary: Accurate prediction of upper limb recovery following traumatic cervical spinal cord injury (SCI) is crucial for guiding reconstructive therapies. This study developed a clinical prediction rule to prognosticate upper limb functional recovery based on early neurological variables. The results showed that the prediction rule was effective in distinguishing dependent from independent patients and outperformed AIS grading.
Letter
Rehabilitation
Sebastien Mateo, Vance Bergeron, Maxime Cheminon, Amandine Guinet-Lacoste, Marie-Caroline Pouget, Sophie Jacquin-Courtois, Jacques Luaute, Julie-Anne Nazare, Chantal Simon, Gilles Rode
ANNALS OF PHYSICAL AND REHABILITATION MEDICINE
(2021)
Article
Chemistry, Analytical
Federica Ragni, Leonardo Archetti, Agnes Roby-Brami, Cinzia Amici, Ludovic Saint-Bauzel
Summary: Detecting human motion and predicting human intentions through body signals analysis are challenging but fundamental steps for human-robot interaction applications. The study compared linear discriminant analysis and random forest in predicting intentions and detecting health conditions, showing that random forest had better performance in both aspects.
Article
Dentistry, Oral Surgery & Medicine
Caroline Alvarado, Audrey Arminjon, Clovis Damieux-Verdeaux, Claire Lhotte, Chloe Condemine, Sebastien Mateo
Summary: The Tongue and Mouth Imagery Questionnaire (TMIQ) developed in this study demonstrates good reliability and construct validity, and can be used to assess imagined movements of the temporomandibular region in both healthy individuals and patients with temporomandibular disorders (TMD).
JOURNAL OF ORAL REHABILITATION
(2022)
Article
Surgery
Lin Dong, Nicolas Perrin, Florian Richer, Agnes Roby-Brami, Guillaume Morel
Summary: This paper discusses the application of variable viscosity control in co-manipulation. A method for stably achieving the desired behavior by using a first-order linear filter to slow down the viscosity variation is proposed. Experimental results demonstrate that this method significantly improves user performance in human-robot experiments.
INTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY
(2022)
Letter
Rehabilitation
Jennifer Zauderer, Marie-Martine Lefevre-Colau, Elise Davoine, Maryvonne Hocquart, Franois Rannou, Agnes Roby-Brami, Christelle Nguyen, Alexandra Roren
ANNALS OF PHYSICAL AND REHABILITATION MEDICINE
(2022)
Article
Rehabilitation
Maxime Teremetz, Alicia Garcia Alvarez, Sylvain Hanneton, Agnes Roby-Brami, Nicolas Roche, Djamel Bensmail, Pavei Lindberg, Johanna V. G. Robertson
Summary: This study compared the effects of upper limb rehabilitation using interactive gaming (Nintendo Wii) and conventional therapy on individuals with chronic stroke. The results showed that Wii therapy resulted in similar recovery of elbow extension and did not enhance compensatory trunk movement. However, more sessions may be needed for greater improvements.
ANNALS OF PHYSICAL AND REHABILITATION MEDICINE
(2022)
Article
Dentistry, Oral Surgery & Medicine
Caroline Alvarado, Audrey Arminjon, Clovis Damieux-Verdeaux, Claire Lhotte, Chloe Condemine, Anne-Sabine Cousin, Nicolas Sigaux, Pierre Bouletreau, Sebastien Mateo
Summary: This study aimed to investigate the accuracy of tongue placement as a measure of tongue motor control in patients with TMD. The results showed that TMD impairs the motor control of the tongue. Therefore, the sharpest tongue pointing test may be a simple and accessible clinical tool to assess the accuracy of tongue placement in TMD patients.
CLINICAL AND EXPERIMENTAL DENTAL RESEARCH
(2022)
Article
Engineering, Biomedical
Lana Popovic-Maneski, Sebastien Mateo
Summary: MotiMove is a battery-powered functional electrical stimulator that has been developed over 40 years of academic research. It can be used for therapeutic intervention, clinical research, and fitness training, and offers real-time control of stimulation parameters and multiple sensors.
Article
Automation & Control Systems
Lin Dong, Florian Richer, Agnes Roby-Brami, Guillaume Morel
Summary: This paper aims to propose a solution to the instability problem caused by the variation of viscosity in robot comanipulation. The authors experimentally demonstrate the effectiveness of their proposed method in stabilizing the dynamics of comanipulation and restoring the natural behavior of humans.
ASSEMBLY AUTOMATION
(2022)
Article
Biochemical Research Methods
Etienne Moullet, Agnes Roby-Brami, Emmanuel Guigon
Summary: When humans encounter a force field that distorts their movement trajectories, they adapt their motor behavior to recover straight trajectories. Computational models predict that early and late trajectories should have opposite curvature, but experimental results do not support this, suggesting adaptation may occur at the level of goal selection.
PLOS COMPUTATIONAL BIOLOGY
(2022)
Article
Multidisciplinary Sciences
Mahdi Khoramshahi, Agnes Roby-Brami, Ross Parry, Nathanael Jarrasse
Summary: Understanding and quantifying inter-joint coordination is important in fields such as neurorehabilitation and robotic prosthetics. Most existing approaches focus on analyzing endpoint trajectories or correlation of joint rotations without considering the underlying task. This work goes beyond these limitations by using a model-based approach to quantify inter-joint coordination. The proposed algorithm estimates Inverse Kinematics weights to measure spatial coordination between joints. The algorithm is applied to two experiments, showing its effectiveness in capturing changes in individuals' strategies and quantifying the contribution of a robotic prosthetic arm.
Article
Multidisciplinary Sciences
Amelie Touillet, Adrienne Gouzien, Marina Badin, Pierrick Herbe, Noel Martinet, Nathanael Jarrasse, Agnes Roby-Brami
Summary: This observational case study investigated the kinematics of grasping in 10 below-elbow amputated patients fitted with myoelectric prostheses. The results showed that these patients experienced temporal and spatial impairments in prosthetic grasping, with prolonged grasping phase and uncoupling of reaching and grasping components. Compensatory strategies involved trunk and proximal upper-limb movements, and hand orientation varied depending on the object. A detailed kinematic analysis provides insight into the mechanisms of these compensatory strategies.
Article
Neurosciences
Lisa Fleury, Lea Dreyer, Rola El Makkaoui, Elise Leroy, Yves Rossetti, Christian Collet
Summary: Prism adaptation through motor imagery can lead to transferable after-effects, providing potential for further investigation into the role of cognitive aspects in sensorimotor adaptation.
Article
Chemistry, Analytical
Dorine Arcangeli, Oceane Dubois, Agnes Roby-Brami, Sylvain Famie, Giovanni de Marco, Gabriel Arnold, Nathanael Jarrasse, Ross Parry
Summary: This study examined the impact of upper limb exoskeletons on the perception of handheld objects. The results indicated that using the exoskeleton did not significantly affect the perception of the objects.
Review
Orthopedics
Charles Philip Gabel, Hamid Reza Mokhtarinia, Markus Melloh, Sebastien Mateo
Summary: Low back pain (LBP) is a common musculoskeletal condition with multiple causes and diagnoses, commonly referred to as non-specific LBP (NSLBP). Current interventions for NSLBP vary in costs and supportive evidence, with a consensus on cost-effective, self-administered, educational, exercise-based, and multi-disciplinary approaches. Slacklining, as an adjuvant therapy, has shown promising results in addressing muscle deficiencies related to NSLBP, potentially through neural mechanisms such as overriding muscle inhibition and promoting neuroplasticity. Further research is recommended to explore the neurophysiological effects of slacklining as a potential intervention for NSLBP.
WORLD JOURNAL OF ORTHOPEDICS
(2021)