Article
Physiology
Shashwati Geed, Megan L. Grainger, Abigail Mitchell, Cassidy C. Anderson, Henrike L. Schmaulfuss, Seraphina A. Culp, Eilis R. McCormick, Maureen R. McGarry, Mystee N. Delgado, Allysa D. Noccioli, Julia Shelepov, Alexander W. Dromerick, Peter S. Lum
Summary: This study investigates the validity of using machine learning to measure real-world functional upper extremity use in stroke patients. The study hypothesizes that machine learning classification using wrist-worn accelerometry is as accurate as frame-by-frame video labeling. The study also validates the machine learning classification against measures of impairment, function, dexterity, and self-reported use. The results show that machine learning is a valid method for measuring functional upper extremity use.
FRONTIERS IN PHYSIOLOGY
(2023)
Article
Clinical Neurology
Anne-Lisa Heye, Christine Kersting, Malte Kneer, Anne Barzel
Summary: This article systematically reviewed the association between accelerometry and clinical scales in stroke patients, finding that accelerometers can provide reliable data on daily arm use frequency but do not capture information about movement quality or restrictions on everyday activities. Currently, there is no accelerometer device identified as most suitable for measuring upper limb activity, with high correlations suggesting multi-dimensional accelerometers may be preferred.
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.
Review
Neurosciences
Maria Munoz-Novoa, Morten B. Kristoffersen, Katharina S. Sunnerhagen, Autumn Naber, Margit Alt Murphy, Max Ortiz-Catalan
Summary: This review and meta-analysis evaluated the effectiveness of different types of sEMG-driven interventions on upper limb function in stroke patients. The results did not show significant differences between sEMG interventions compared to non-sEMG interventions or between different types of sEMG interventions in improving upper limb function. Further research with larger sample sizes is needed to determine the specific effects of sEMG interventions on upper limb function in stroke populations.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Review
Medicine, General & Internal
Maira Hussain, Arooj Fatima, Ashfaq Ahmad, Syed Amir Gilani
Summary: This systematic review examined the effects of task-oriented rehabilitation on upper extremity function in stroke patients and found scientific evidence supporting its beneficial effects. Among the evaluated studies, all of them showed significant results in improving upper extremity function through task-oriented training rehabilitation in stroke patients.
JOURNAL OF THE PAKISTAN MEDICAL ASSOCIATION
(2022)
Article
Medicine, General & Internal
Mahmoud M. M. Dboba, Nor Azlin Mohd Nordin, Haidzir Manaf, Hanif Farhan Mohd Rasdi
Summary: This study aims to summarize the evidence on the effects of neuromuscular electrical stimulation combined with constraint-induced movement therapy in stroke patients. Various databases were used for literature review, and the study will include independent article selection, data extraction, and quality evaluation. The results will provide therapists with the available evidence to choose the best treatment for upper extremity dysfunction in stroke patients.
Article
Clinical Neurology
Amanda A. Vatinno, Christian Schranz, Annie N. Simpson, Viswanathan Ramakrishnan, Leonardo Bonilha, N. J. Seo
Summary: This study investigates whether pre-intervention sensorimotor connectivity can predict post-stroke upper extremity motor improvement following therapy. The results show that higher ipsilesional sensorimotor connectivity is associated with greater motor improvement. This EEG connectivity may have predictive utility in the rehabilitation treatment of stroke patients.
NEUROREHABILITATION
(2022)
Review
Medicine, General & Internal
Adel Elfeky, Kristiaan D'Aout, Rebecca Lawson, Lauren R. Hepworth, Nicholas D. A. Thomas, Abigail Clynch, Fiona J. Rowe
Summary: The review gathered evidence on the biomechanical changes to visual field loss following stroke, revealing significant differences in fixation and saccade parameters between simulated and true hemianopia compared to controls.
SYSTEMATIC REVIEWS
(2021)
Article
Multidisciplinary Sciences
Florian Fischer, Miroslav Bachinski, Markus Klar, Arthur Fleig, Joerg Mueller
Summary: This study found that in a complex human upper extremity skeletal model, the assumptions of signal-dependent and constant motor noise, along with the objective of movement time minimization, are sufficient to reproduce complex phenomena of human movement, particularly Fitts' Law and the 23 Power Law.
SCIENTIFIC REPORTS
(2021)
Review
Clinical Neurology
Jing Zhang, Hongsheng Feng, Jinpeng Lin, Hua Zhai, Xia Shen
Summary: This study reviewed several articles and found that Constraint-Induced Movement Therapy (CIMT) can produce certain therapeutic effects in the short term but not in the long term for lower limb function recovery in stroke patients. Within the CIMT method, using a weight strapped around the non-paretic leg may have a negative impact on treatment effects.
FRONTIERS IN NEUROLOGY
(2023)
Article
Engineering, Biomedical
Majid Abedi, Saeed Behzadipour
Summary: Background: Although kinematic assessment has potentials for better evaluation of the movement quality, they are not widely used in clinics. Besides the equipment cost, the contradictory results of their clinimetric analysis are presumed as a major reason. This raises concerns about whether the current kinematic indices are intrin-sically sound and truly reflect the quality of the subjects' movement.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Review
Health Care Sciences & Services
Xiaoyi Wang, Yan Fu, Bing Ye, Jessica Babineau, Yong Ding, Alex Mihailidis
Summary: This systematic review analyzes the application of technology-based methods in assessing and detecting compensation during stroke upper extremity (UE) rehabilitation. The findings indicate that body-worn technology, marker-based motion capture system, and marker-free vision sensor technology are the most commonly used sensor technologies. Furthermore, most studies utilize statistical methods for compensation assessment, while machine learning algorithms are applied for automatic detection. The review suggests exploring technology-based compensation predictions and overcoming the drawbacks of each sensor in compensation assessment and detection.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2022)
Article
Behavioral Sciences
Laila Craighero, Sonia Mele, Valentina Gaifas, Emma Bonaguri, Sofia Straudi
Summary: Observation of actions has been effective in stroke motor rehabilitation, but it was unclear if it could activate the motor system of a limb unable to perform the observed action. A study using an action prediction paradigm found that even when the impaired hand couldn't perform the observed action, action observation still involved the motor system, supporting the use of Action Observation Training (AOT) in stroke motor rehabilitation.
Article
Rehabilitation
Adam de Havenon, Laura Heitsch, Abimbola Sunmonu, Robynne Braun, Keith R. Lohse, John W. Cole, Eva Mistry, Arne Lindgren, Bradford B. Worrall, Steven C. Cramer
Summary: The study aimed to develop a simple and effective risk score for predicting persistent impairment of upper extremity motor function in stroke patients at 90 days poststroke. By analyzing data from multiple clinical trials, the researchers identified the PUPPI index as a predictive tool in the validation cohort.
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION
(2022)
Article
Rehabilitation
Shashwati Geed, Christianne J. Lane, Monica A. Nelsen, Steven L. Wolf, Carolee J. Winstein, Alexander W. Dromerick
Summary: The study found that in stroke rehabilitation trials, using a Rasch-rescaled UEFM can improve the accuracy of effect size, reduce the required sample size, decrease costs, shorten duration, and decrease the number of subjects exposed to experimental risks compared to using the simple summation of ordinal UEFM items.
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION
(2021)
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
Multidisciplinary Sciences
Christoph M. Kanzler, Giuseppe Averta, Anne Schwarz, Jeremia P. O. Held, Roger Gassert, Antonio Bicchi, Marco Santello, Olivier Lambercy, Matteo Bianchi
Summary: Understanding the altered mechanisms of movement generation in post-stroke individuals is crucial for characterizing impairments in the sensorimotor control of the arm and hand. This study used a decomposition algorithm to analyze velocity and grip force data from a functional task in healthy individuals and post-stroke individuals with mild-to-moderate impairments. The results showed that post-stroke individuals had reduced functional performance, but the low-dimensional representation of their behavior was mostly preserved. However, an abnormal variance distribution was observed in the behavioral representation, except when grip forces were reduced. These findings suggest that therapeutic strategies focusing on movement quality and grip force reduction may improve performance of daily life activities in post-stroke individuals.
SCIENTIFIC REPORTS
(2022)
Article
Clinical Neurology
Janne M. Veerbeek, Johannes Pohl, Jeremia P. O. Held, Andreas R. Luft
Summary: This study aimed to externally validate the EPOS prediction model for independent gait after stroke, and the results showed that the model had acceptable performance in mildly to moderately affected patients with first-ever stroke at the 3-month post-stroke mark.
FRONTIERS IN NEUROLOGY
(2022)
Article
Clinical Neurology
Christoph M. Kanzler, Isabelle Lessard, Roger Gassert, Bernard Brais, Cynthia Gagnon, Olivier Lambercy
Summary: This study aimed to evaluate the metrological properties of technology-aided assessment metrics for arm and hand function in ARSACS. The results showed that eight digital health metrics had excellent reliability and five had potential sensitivity as endpoints for longitudinal studies in ARSACS, providing novel insights into upper limb sensorimotor control.
ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY
(2022)
Correction
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
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2022)
Article
Multidisciplinary Sciences
Janne M. Veerbeek, Johannes Pohl, Andreas R. Luft, Jeremia P. O. Held
Summary: This study aimed to externally validate and extend the "Early Prediction of Functional Outcome after Stroke" (EPOS) model. The results showed that the model was successfully validated in stroke patients in Switzerland and suggested further testing in severe stroke patients and stratification using the ARAT 32-point cut-off to enhance the model's applicability.
Article
Physiology
Johannes Pohl, Alain Ryser, Janne Marieke Veerbeek, Geert Verheyden, Julia Elisabeth Vogt, Andreas Rudiger Luft, Chris Awai Easthope
Summary: A system for gait and body posture classification in stroke patients with different sensor configurations was developed and achieved good classification performance, providing options for subsequent outcome evaluation.
FRONTIERS IN PHYSIOLOGY
(2022)
Article
Physiology
Johannes Pohl, Alain Ryser, Janne Marieke Veerbeek, Geert Verheyden, Julia Elisabeth Vogt, Andreas Ruediger Luft, Chris Awai Easthope
Summary: This study compares the validity of different methods for classifying stroke survivors' real-life arm activities. The results show that using optimal thresholds and machine learning classifiers can achieve equivalent accuracy and higher specificity compared to conventional methods.
FRONTIERS IN PHYSIOLOGY
(2022)
Article
Clinical Neurology
Janne Marieke Veerbeek, Beatrice Ottiger, Dario Cazzoli, Tim Vanbellingen, Thomas Nyffeler
Summary: The study aimed to develop and validate a decision tree model for stroke patients to determine if they can be discharged within 48 hours post-stroke. The results showed that using the patient's activities of daily living performance within the first 48 hours post-stroke can effectively predict safe discharge.
FRONTIERS IN NEUROLOGY
(2022)
Article
Chemistry, Analytical
Anne Schwarz, Adib Al-Haj Husain, Lorenzo Einaudi, Eva Thurlimann, Julia Laderach, Chris Awai Easthope, Jeremia P. O. Held, Andreas R. Luft
Summary: The study aims to investigate the reliability and validity of a sensor-based gait analysis system in stroke survivors. The results show that the system has good test-retest reliability and correlates with clinical assessment tools, indicating its applicability in gait rehabilitation for stroke patients.
Article
Robotics
Raffaele Ranzani, Giorgia Chiriatti, Anne Schwarz, Giada Devittori, Roger Gassert, Olivier Lambercy
Summary: This study proposes an online perturbation-based method for monitoring finger muscle tone during unsupervised robot-assisted hand therapy. The method accurately estimates forces and detects differences between stroke patients and unimpaired subjects. This method could be used for personalized therapy and ensuring safety during rehabilitation.
FRONTIERS IN ROBOTICS AND AI
(2023)
Article
Clinical Neurology
Julian Deseoe, Anne Schwarz, Theodor Pipping, Aurelia Lehmann, Janne M. Veerbeek, Andreas R. Luft, Susanne Wegener, Christoph Globas, Jeremia P. O. Held
Summary: This study measured the impact of verticalization on cerebral blood flow velocity (CBFV) and systemic blood pressure (BP), heart rate (HR) and oxygen saturation in healthy individuals. The results showed that CBFV progressively decreased in the middle cerebral artery (MCA) with increasing degrees of verticalization, while systolic and diastolic BP and HR showed a compensatory increase.
FRONTIERS IN NEUROLOGY
(2023)
Article
Clinical Neurology
Monika Zbytniewska-Megret, Christian Salzmann, Christoph M. Kanzler, Thomas Hassa, Roger Gassert, Olivier Lambercy, Joachim Liepert
Summary: Hand proprioception and motor function following stroke often exhibit dissociated patterns of changes, emphasizing the need for monitoring and personalized therapies.
NEUROREHABILITATION AND NEURAL REPAIR
(2023)
Article
Rehabilitation
Jeremia P. O. Held, Anne Schwarz, Johannes Pohl, Eva Thurlimann, Silvan Portmann, Meret Branscheidt, Madalina Fratian, Jannie Van Duinen, Janne M. Veerbeek, Andreas R. Luft
Summary: The COVID-19 shutdown had measurable immediate, but no persistent, effects on post-stroke outcomes, except for depression. Importantly, a 2-month reduction in therapy may trigger improvements when therapy is fully re-initiated thereafter.
JOURNAL OF REHABILITATION MEDICINE
(2022)