Article
Biotechnology & Applied Microbiology
Guillermo Asin-Prieto, Silvana Mercante, Raul Rojas, Mariangeles Navas, Daiana Gomez, Melisa Toledo, Aitor Martinez-Exposito, Juan C. Moreno
Summary: This study investigated the effects of passive stretching, combined with active and resisted movement, accompanied by visual feedback, using a low-cost monoarticular robot (MEXO) in patients with stroke sequelae and spastic ankle. The results showed significant improvements in joint range, balance, and walking capacity.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Multidisciplinary Sciences
Myunghee Kim, Hyeongkeun Jeong, Prakyath Kantharaju, Dongyual Yoo, Michael Jacobson, Dongbin Shin, Changsoo Han, James L. Patton
Summary: This study demonstrates the importance of visual feedback in guiding users to adapt to wearable robot assistance, leading to a reduction in the metabolic cost of walking.
SCIENTIFIC REPORTS
(2022)
Article
Chemistry, Analytical
Taran Batty, Armin Ehrampoosh, Bijan Shirinzadeh, Yongmin Zhong, Julian Smith
Summary: This paper discusses a method to mitigate system communication time delays in robotic minimally invasive surgery, providing more accurate haptic feedback through environment estimation and force prediction. Experimental results show that the Hunt-Crossley force model performs better in providing accurate haptic feedback.
Review
Rehabilitation
Dario Calafiore, Francesco Negrini, Nicola Tottoli, Francesco Ferraro, Ozden Ozyemisci-Taskiran, Alessandro de Sire
Summary: This study evaluated the efficacy of Robot-assisted gait rehabilitation (RAGT) for gait recovery in subacute stroke survivors, showing its potential role in this field, though further research comparing its effectiveness with conventional physical therapy is still needed in the neurorehabilitation field.
EUROPEAN JOURNAL OF PHYSICAL AND REHABILITATION MEDICINE
(2022)
Article
Medicine, General & Internal
Sanaz Pournajaf, Rocco Salvatore Calabro, Antonino Naro, Michela Goffredo, Irene Aprile, Federica Tamburella, Serena Filoni, Andreas Waldner, Stefano Mazzoleni, Antonella Focacci, Francesco Ferraro, Donatella Bonaiuti, Marco Franceschini
Summary: This study investigated the efficacy of stationary robot-assisted gait rehabilitation in comparison to conventional overground gait training for subacute stroke survivors. The results showed that robot-assisted training improved walking ability better than conventional training, with significant improvements in walking speed observed.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Dentistry, Oral Surgery & Medicine
Mohamed Ali
Summary: This case report presents the use of haptic robotic technology for implant placement in one patient, showing high accuracy and short surgical time. The technology provides excellent visualization and irrigation, contributing to excellent surgical outcomes for the patient.
CLINICAL IMPLANT DENTISTRY AND RELATED RESEARCH
(2023)
Article
Robotics
Nathan Baum, Mark A. Minor
Summary: This letter evaluates the capabilities of a soft robotic pneumatic actuator derived from the terrain display haptic device, the Smart Shoe. The actuator shows promising results in displaying haptic terrain trajectories and has the potential to be used in wearable haptic terrain display devices.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Engineering, Biomedical
J. F. Alingh, B. M. Fleerkotte, B. E. Groen, J. S. Rietman, V Weerdesteyn, E. H. F. van Asseldonk, A. C. H. Geurts, J. H. Buurke
Summary: The study compared the effects of AAN(mDOF) robotic and conventional training on the gait pattern and functional gait tasks of post-stroke rehabilitation patients. The findings suggest that AAN(mDOF) robotic training is not superior to conventional training in improving gait pattern, but may be more effective in addressing specific post-stroke gait abnormalities.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2021)
Article
Clinical Neurology
Kiran K. Karunakaran, Sharon Gute, Gregory R. Ames, Kathleen Chervin, Christina M. Dandola, Karen J. Nolan
Summary: The study demonstrates that robotic exoskeleton provides high dose therapy and positive therapeutic effects on functional ambulation in adults with acute stroke. All participants showed significant improvement in functional ambulation during rehabilitation training.
NEUROREHABILITATION
(2021)
Review
Rehabilitation
Thomas Bowman, Elisa Gervasoni, Angelo P. Amico, Roberto Antenucci, Paolo Benanti, Paolo Boldrini, Donatella Bonaiuti, Angelo Burini, Enrico Castelli, Francesco Draicchio, Vincenzo Falabella, Silvia Galeri, Francesca Gimigliano, Mauro Grigioni, Stefano Mazzon, Stefano Mazzoleni, Fabiola G. Mestanza Mattos, Franco Molteni, Giovanni Morone, Maurizio Petrarca, Alessandro Picelli, Federico Posteraro, Michele Senatore, Giuseppe Turchetti, Simona Crea, Davide Cattaneo, Maria C. Carrozza
Summary: Robot-assisted gait training (RAGT) has a positive impact on balance and gait outcomes in people with multiple sclerosis, particularly for those with severe disabilities. Combining RAGT with other rehabilitation programs can further enhance recovery outcomes.
EUROPEAN JOURNAL OF PHYSICAL AND REHABILITATION MEDICINE
(2021)
Article
Medicine, General & Internal
Hoo Young Lee, Jung Hyun Park, Tae-Woo Kim
Summary: Both Lokomat and Walkbot robotic gait training combined with conventional physical therapy show promising outcomes for gait rehabilitation in chronic patients with acquired brain injury. Both interventions significantly improved functional ambulation category and Berg balance scale scores, with no significant differences between the two groups in terms of balance and ambulatory ability improvements.
Article
Robotics
Hosu Lee, Amre Eizad, Jiho Park, Yeongmi Kim, Sunwoo Hwang, Min-Kyun Oh, Jungwon Yoon
Summary: This study proposes a wearable balance biofeedback system that utilizes a combination of indentation and stretching of the skin to improve gait balance. The experiment showed significant improvements in two-dimensional balance for healthy subjects who received feedback, especially in more difficult tasks. The system did not have any detrimental effect on gait speed and showed similar trends in stroke patients.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Engineering, Biomedical
Min Hyong Koh, Sheng-Che Yen, Lester Y. Leung, Sarah Gans, Keri Sullivan, Yasaman Adibnia, Misha Pavel, Christopher J. Hasson
Summary: This study explores the feasibility of locomotor assistance with a telerobotics approach, where trainers provide physical assistance to locomoting patients through a robotic manipulandum. Initial results suggest that this approach is effective in modulating targeted gait features in patients with locomotor impairments.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2021)
Article
Computer Science, Artificial Intelligence
Karen J. Nolan, Kiran K. Karunakaran, Pamela Roberts, Candy Tefertiller, Amber M. Walter, Jun Zhang, Donald Leslie, Arun Jayaraman, Gerard E. Francisco
Summary: The study demonstrated that overground walking with a robotic exoskeleton significantly increased walking speed, improved the Functional Ambulation Category (FAC) and reduced gait deviations for individuals with acute and chronic stroke. Additionally, spatial symmetry and step length also improved after utilizing the exoskeleton for overground walking.
FRONTIERS IN NEUROROBOTICS
(2021)
Article
Engineering, Biomedical
Kristen Hohl, Matt Giffhorn, Steven Jackson, Arun Jayaraman
Summary: Exoskeletons are external motorized devices that assist individuals with motor and functional impairments in sit-to-stand and walking. The lack of evidence makes it challenging for clinicians to determine the optimal utilization of exoskeletons in everyday clinical practice. Therefore, we present a clinical utilization framework to guide decision-making, device selection, dosage parameters, and reflection for success and understanding of these innovative technologies.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2022)
Article
Computer Science, Interdisciplinary Applications
N. Wenk, J. Penalver-Andres, K. A. Buetler, T. Nef, R. M. Muri, L. Marchal-Crespo
Summary: Virtual reality (VR) is a promising tool for motor (re)learning, with head-mounted displays (HMDs) providing a more immersive and motivating experience compared to 2D screens. Augmented reality (AR) technology's efficacy in motor learning remains unclear and requires further investigation.
Article
Neurosciences
Karin A. Buetler, Joaquin Penalver-Andres, Ozhan Ozen, Luca Ferriroli, Rene M. Mueri, Dario Cazzoli, Laura Marchal-Crespo
Summary: Immersive virtual reality can alter body perception and enhance motor activity in neurologic patients by simulating different body characteristics. This modification of body perception has the potential to influence motor brain networks and improve motor control.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Engineering, Biomedical
Nicolas Wenk, Mirjam Jordi, Karin A. Buetler, Laura Marchal-Crespo
Summary: Combining immersive virtual reality with robotic devices can enhance neurorehabilitation, but the design of virtual environments when interacting with rehabilitation robots is still an open question. This study investigated the effects of visuo-haptic sensory conflict on motivation, embodiment, and presence. The results showed that the visibility of the robot did not affect participants' motivation, presence, embodiment, or task performance. However, robotic assistance hampered presence and embodiment, but improved motivation.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
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
Medicine, Research & Experimental
Vedran Deletis, Jay Shils, Juan Anso, Eduardo Villar Ortega, Laura Marchal-Crespo, Karin A. Buetler, Andreas Raabe, Kathleen Seidel
Summary: This study investigated the potential mechanisms of high-frequency stimulation (HFS) on peripheral nerve excitability. It was found that HFS can induce subthreshold superexcitability and enhance the activation capability of the peripheral nerve.
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)
Review
Engineering, Biomedical
Jesus de Miguel-Fernandez, Joan Lobo-Prat, Erik Prinsen, Josep M. Font-Llagunes, Laura Marchal-Crespo
Summary: In the past decade, there has been progress in the development of robotic controllers for lower-limb exoskeletons to interact with brain-injured patients. However, the most effective control strategies for motor function recovery are still uncertain. This review provides a framework of current control strategies, analyzes the methodology of clinical validations, and explores the relation between control strategies and clinical outcomes.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2023)
Article
Rehabilitation
Eduardo Villar Ortega, Efe Anil Aksoez, Karin A. Buetler, Laura Marchal-Crespo
Summary: Researchers developed a virtual reality-based robotic haptic system to evaluate and train the touch sensibility of stroke survivors. The results showed significant improvement in task performance after training, with no significant difference between the effects of passive and active touch conditions.
FRONTIERS IN REHABILITATION SCIENCES
(2022)
Proceedings Paper
Computer Science, Cybernetics
Stephan Kapteijn, Wansoo Kim, Laura Marchal-Crespo, Luka Peternel
Summary: Walking is an essential part of daily activities, and humans use different gait patterns in various situations. However, the process of gait tailoring is still partially unknown. To gain more insight, a multi-metric gait analysis framework is proposed to analyze gait in terms of pattern diversity and performance metrics related to physical aspects. The framework considers parameters such as joint torque, fatigue, and manipulability. Evaluating a recorded dataset of versatile gait patterns, the analysis results provide a baseline for future research into specific aspects of gait.
2022 IEEE-RAS 21ST INTERNATIONAL CONFERENCE ON HUMANOID ROBOTS (HUMANOIDS)
(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
Nathan Van Damme, Raphael Ratz, Laura Marchal-Crespo
Summary: Introducing a portable one-degree-of-freedom hand trainer prototype based on a novel compliant shell mechanism, providing rich sensory feedback and fostering sensorimotor recovery through a rehabilitation game.
2022 INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR)
(2022)