Article
Engineering, Biomedical
Mukul Talaty, Alberto Esquenazi
Summary: This study aimed to investigate the feasibility of early and intense supplemental gait training during inpatient stroke rehabilitation and compare the functional outcomes between different training methods. The results showed that supplemental therapy could be implemented without interrupting schedules and participants achieved meaningful functional improvement in a relatively short time.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2023)
Review
Clinical Neurology
Lina Wu, Gui Xu, Qiaofeng Wu
Summary: The study analyzed the effectiveness of robot-assisted gait training using the Lokomat (R) device for lower extremity rehabilitation in stroke patients. The results showed that, apart from significant improvements in balance, the Lokomat (R) was not superior to conventional physical therapy in other outcomes.
FRONTIERS IN NEUROLOGY
(2023)
Review
Clinical Neurology
Federica Baronchelli, Chiara Zucchella, Mariano Serrao, Domenico Intiso, Michelangelo Bartolo
Summary: This systematic review summarized 13 studies involving 445 subacute or chronic stroke patients, showing favorable effects of Lokomat (R) on balance recovery in stroke survivors. However, results regarding balance measured using the Berg Balance Scale were inconclusive. Further research is needed to draw more solid conclusions due to the limited number of studies and their high heterogeneity.
FRONTIERS IN NEUROLOGY
(2021)
Review
Psychology, Multidisciplinary
Paloma E. Fava-Felix, Silvia R. C. Bonome-Vanzelli, Fabiana S. Ribeiro, Flavia H. Santos
Summary: This review investigates the cognitive, functional, and behavioral effects of computerized rehabilitation in stroke patients and considers cognitive reserve proxies. The findings suggest that combining computerized cognitive training with education as a cognitive reserve proxy can improve cognitive abilities in patients.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Neurosciences
Denniss Raigoso, Nathalia Cespedes, Carlos A. Cifuentes, Antonio J. Del-Ama, Marcela Munera
Summary: A perception study on the integration of a social robot in Physical Rehabilitation treatment showed overall positive acceptance among participants, with over 60% holding a positive perception. However, differences in perception were observed between clinicians and patients in the study.
Review
Medicine, General & Internal
Qing Zhao, Xue Wang, Tao Wang, Adam A. Dmytriw, Xiao Zhang, Kun Yang, Jichang Luo, Xuesong Bai, Nan Jiang, Bin Yang, Yan Ma, Liqun Jiao, Yunyan Xie
Summary: This systematic review aims to compare the efficacy of cognitive rehabilitation interventions for patients with post-stroke cognitive impairment, and the results will help with clinical decision-making and support the development of clinical practice guidelines.
SYSTEMATIC REVIEWS
(2021)
Article
Neurosciences
Knut K. Kolskar, Genevieve Richard, Dag Alnaes, Erlend S. Dorum, Anne-Marthe Sanders, Kristine M. Ulrichsen, Jennifer Monereo Sanchez, Hege Ihle-Hansen, Jan E. Nordvik, Lars T. Westlye
Summary: This study investigated the feasibility and effectiveness of combining CCT and tDCS in chronic stroke patients, finding significant improvement in performance after training with no additional gain from tDCS. fMRI-based brain activation showed high reliability and higher cognitive performance was associated with specific brain activation patterns.
HUMAN BRAIN MAPPING
(2021)
Article
Computer Science, Software Engineering
Sebastian Wagner, Julia Belger, Fabian Joeres, Angelika Thoene-Otto, Christian Hansen, Bernhard Preim, Patrick Saalfeld
Summary: The study shows that using virtual reality technology to assess patients' behavior in real-life situations is promising. Assessing situations that are often difficult or too dangerous in reality can help more accurately identify patients' performance. Virtual reality technology is expected to be an effective tool for assessing patients with unilateral spatial neglect.
COMPUTERS & GRAPHICS-UK
(2021)
Article
Chemistry, Analytical
Giuseppe Placidi, Alessandro Di Matteo, Daniele Lozzi, Matteo Polsinelli, Eleni Theodoridou
Summary: This paper presents a novel framework for cooperation between patients and therapists in telerehabilitation. The system utilizes a computer-vision-based system for real-time hand tracking and offers quantitative information about hand mobility and evaluation of rehabilitation progress. It also provides strategies for patient-therapist interaction and data sharing.
Article
Medicine, General & Internal
Tamar Abzhandadze, Erik Lundstrom, Dongni Buvarp, Marie Eriksson, Terence J. Quinn, Katharina Sunnerhagen
Summary: This study aims to develop a short-form Swedish version of the MoCA and determine the optimal cut-off value for predicting cognitive impairment. The psychometric properties of the s-MoCA-SWE will be compared with previously developed MoCA short forms.
Article
Rehabilitation
Britta Nijsse, Daan P. J. Verberne, Johanna M. A. Visser-Meily, Marcel W. M. Post, Paul L. M. De Kort, Caroline M. Van Heugten
Summary: This study tracked long-term subjective cognitive complaints after stroke and found a significant increase in complaints from 2 months to 4 years post-stroke. It revealed that higher levels of cognitive complaints and lower scores on adaptive and maladaptive psychological factors in the early stages after stroke are important predictors of higher subjective cognitive complaints at 4 years post-stroke.
JOURNAL OF REHABILITATION MEDICINE
(2021)
Article
Clinical Neurology
Ruihong Yao, Liqing Yao, Amin Rao, Jibing Ou, Wenli Wang, Qinzhi Hou, Chunyan Xu, Bu-Lang Gao
Summary: This study investigated the prevalence and risk factors of stroke-related sarcopenia (SRS) in hospitalized patients receiving rehabilitation treatment. The results showed that significant risk factors for SRS include college degree or above, ICU stay, pneumonia, walking ability, cognitive impairment, aphasia, nasogastric feeding, age, and creatine kinase.
FRONTIERS IN NEUROLOGY
(2022)
Article
Engineering, Biomedical
Serena Maggioni, Lars Lunenburger, Robert Riener, Armin Curt, Marc Bolliger, Alejandro Melendez-Calderon
Summary: In this study, researchers proposed an adaptive assist-as-needed control system for assessing walking ability in patients undergoing robot-assisted locomotor training. The results showed that this approach can provide valid and reliable walking assessments for patients with different injury severity levels.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2023)
Article
Behavioral Sciences
Katie E. Garrison, Julia B. McDonald, Adrienne L. Crowell, Nicholas J. Kelley, Brandon J. Schmeichel
Summary: The study found that a standard dose of acetaminophen did not reliably alter neural indicators of emotional or feedback processing, and did not affect ERPs in specific tasks. However, exploratory analysis suggested that acetaminophen may influence individual sensitivity to emotional processing.
COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE
(2021)
Review
Medicine, General & Internal
Eric L. Stulberg, Perminder S. Sachdev, Anne M. Murray, Steven C. Cramer, Farzaneh A. Sorond, Kamakshi Lakshminarayan, Behnam Sabayan
Summary: This study provides a narrative review on post-stroke brain health, defining and evaluating it based on literature databases. Clinical recommendations for monitoring and managing post-stroke brain health are presented, as well as potential future work in the field.
JOURNAL OF CLINICAL MEDICINE
(2023)
Review
Engineering, Biomedical
Silvia Campagnini, Piergiuseppe Liuzzi, Andrea Mannini, Robert Riener, Maria Chiara Carrozza
Summary: The study found that there is no clear preference for different control algorithms in improving gait parameters of stroke patients. Force control strategies are more commonly used in rigid devices in therapeutic scenarios, while position-controlled soft devices are more commonly used in assistive scenarios. Due to significant heterogeneity in performance metrics and study designs, the impact of different controllers on gait could not be evaluated.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2022)
Article
Chemistry, Analytical
Aljaz Baumkircher, Katja Seme, Marko Munih, Matjaz Mihelj
Summary: This study demonstrates the feasibility of using collaborative robots in a medical microbiology laboratory for fine tasks, such as bacterial colony picking and identification. The results show that the system works similarly well as a manual operator, with an overall identification error rate of around 11%.
Article
Cardiac & Cardiovascular Systems
Isabell Anna Just, Denis Fries, Sina Loewe, Volkmar Falk, Nikola Cesarovic, Frank Edelmann, Anna Feuerstein, Florian L. Haufe, Michele Xiloyannis, Robert Riener, Felix Schoenrath
Summary: This feasibility pilot trial provides initial evidence that using a robotic exoskeleton to assist patients with advanced heart failure in mobilization is safe, feasible, well-tolerated, and well-accepted. The results are highly encouraging for further development of this innovative approach in rehabilitation programs.
Article
Rehabilitation
Isabell Anna Just, Denis Fries, Sina Loewe, Volkmar Falk, Nikola Cesarovic, Dagmar Kemper, Frank Edelmann, Anna Feuerstein, Florian L. Haufe, Michele Xiloyannis, Robert Riener, Felix Schoenrath
Summary: The aim of this pilot study was to investigate the safety, feasibility and tolerability of using a lightweight, exoskeleton-type robot for assisted mobilization of patients with advanced pulmonary diseases. The study showed that robotic-assisted mobilization was feasible, safe and well-tolerated in all patients. Patients expressed interest in participating in regular robotic-assisted training.
ASSISTIVE TECHNOLOGY
(2023)
Article
Robotics
Michele Xiloyannis, Ryan Alicea, Anna-Maria Georgarakis, Florian Leander Haufe, Peter Wolf, Lorenzo Masia, Robert Riener
Summary: Wearable robots have evolved from rigid machines to lightweight robotic apparel, playing a crucial role in human motor assistance and augmentation. Critically evaluating the modes of actuation, human-robot interface, and intention-detection strategies of state-of-the-art soft robotic suits, this technology has the potential to significantly impact human movements and requires further development in various areas.
IEEE TRANSACTIONS ON ROBOTICS
(2022)
Article
Engineering, Biomedical
Lauren Chee, Giacomo Valle, Michele Marazzi, Greta Preatoni, Florian L. Haufe, Michele Xiloyannis, Robert Riener, Stanisa Raspopovic
Summary: This study presents a non-invasive neurostimulation system that can encode foot-ground and knee angle information, leading to decreased metabolic consumption and increased prosthesis confidence in lower-limb amputees. The system also promotes more physiological walking strategies and increased stability in response to external perturbations.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Automation & Control Systems
Michael Sommerhalder, Yves Zimmermann, Manuel Knecht, Zelio Suter, Robert Riener, Peter Wolf
Summary: The study presents a method to achieve context-independent neuro-rehabilitation assessment through functional orthogonalization. Experiments conducted on robots showed a significant reduction in standard deviation.
AT-AUTOMATISIERUNGSTECHNIK
(2022)
Article
Engineering, Biomedical
Chiara Basla, Irina Hungerbuehler, Jan Thomas Meyer, Peter Wolf, Robert Riener, Michele Xiloyannis
Summary: This study investigated the user experience and usability of an exosuit in domestic and community settings. The findings showed that users were satisfied with the technical features of the device, but the overall adoption rate was limited, primarily due to difficulties in donning, lack of independence, and motivation in exercising.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2022)
Editorial Material
Clinical Neurology
Giovanni Morone, Robert Riener, Stefano Mazzoleni
NEUROREHABILITATION
(2022)
Article
Engineering, Biomedical
Anna-Maria Georgarakis, Yves Zimmermann, Peter Wolf, Marco Hutter, Robert Riener
Summary: This study presents a textile orthosis that can assist the scapulohumeral rhythm (SHR) and provide effective support in daily life, therapy, and assistive robotics.
IEEE TRANSACTIONS ON MEDICAL ROBOTICS AND BIONICS
(2022)
Proceedings Paper
Engineering, Biomedical
Michael Sommerhalder, Nico Kurth, Jaeyong Song, Robert Riener
Summary: This paper presents the development of a lightweight and small robotic interface called ARMStick, which aims to improve the interaction between therapists and rehabilitation robots. The device allows therapists to intuitively perceive joint-dependent data and personalize therapy. Results from demonstrations and comparisons show that ARMStick can enhance the efficiency of robot-assisted therapy.
2022 INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR)
(2022)
Proceedings Paper
Engineering, Biomedical
Chiara Basla, Anna-Maria Georgarakis, Markus Reichmuth, Haotian Chen, Peter Wolf, Stephanie Lacour, Robert Riener, Michele Xiloyannis
Summary: Soft wearable robots, such as exosuits, have gained attention due to their compliance, low weight, and accessibility. This study developed a wearable sensing system using a soft, stretchable silicone-based strain gauge to measure forces in exosuits. The system demonstrated high accuracy and portability, making it suitable for monitoring walking patterns and controlling human-robot interaction outside the lab.
2022 INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR)
(2022)
Proceedings Paper
Engineering, Biomedical
A. Breuss, N. Vonau, C. Ungricht, E. Schwarz, M. Irion, M. Bradicich, F. A. Grewe, S. Liechti, S. Thiel, M. Kohler, R. Riener, E. Wilhelm
Summary: This study compared personalized and generalizable sleep position classifiers using pressure-sensing mats for sleep-related breathing disorders. The results showed comparable performance between personalized and generalizable classifiers. The eight-channel sensor mattresses accurately detected in-bed presence but had limited ability in classifying sleep positions.
2022 INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR)
(2022)
Proceedings Paper
Engineering, Biomedical
Yves Zimmermann, Michael Sommerhalder, Jaeyong Song, Blaise Etter, Emek Baris Kucuktabak, Robert Riener, Peter Wolf
Summary: Researchers present a simulation framework for validating exoskeleton software, which can simulate the interaction between exoskeletons and human limbs with high accuracy, predicting haptic rendering and control gains of the closed-loop system.
2022 INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR)
(2022)
Article
Computer Science, Artificial Intelligence
Anna-Maria Georgarakis, Michele Xiloyannis, Peter Wolf, Robert Riener
Summary: This study developed a textile-based soft wearable robot called Myoshirt, which can intuitively assist shoulder movements during functional reaching tasks and improve the personal independence of individuals with upper limb impairments.
NATURE MACHINE INTELLIGENCE
(2022)