Article
Multidisciplinary Sciences
Adriana Cancrini, Paolo Baitelli, Matteo Lavit Nicora, Matteo Malosio, Alessandra Pedrocchi, Alessandro Scano
Summary: This study investigates the effect of robot assistance on task performance and muscle synergies in healthy individuals. The results show that assistance improves task performance but has limited impact on muscle synergies.
Review
Engineering, Biomedical
Elena Bardi, Marta Gandolla, Francesco Braghin, Ferruccio Resta, Alessandra L. G. Pedrocchi, Emilia Ambrosini
Summary: Soft robotic wearable devices, known as exosuits, have great potential for daily upper limb support as an alternative to rigid exoskeletons. This review explores the current approaches in design and production steps, focusing on different actuation types and intention detection strategies to support key joints such as elbow and shoulder.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2022)
Review
Engineering, Biomedical
Shane Forbrigger, Vincent G. DePaul, T. Claire Davies, Evelyn Morin, Keyvan Hashtrudi-Zaad
Summary: Interest in home-based stroke rehabilitation mechatronics has grown over the past 12 years, but the COVID-19 pandemic has worsened the existing lack of access to rehabilitation for stroke survivors. This study conducts a scoping review of designs for at-home upper limb stroke rehabilitation mechatronic devices to identify important design principles and areas for improvement.
BIOMEDICAL ENGINEERING ONLINE
(2023)
Article
Engineering, Biomedical
Craig G. Mcdonald, Benjamin J. Fregly, Marcia K. O'Malley
Summary: Changes in muscle synergies can be correlated to functional changes resulting from neurological injury, serving as an indicator of motor impairment. Using a rehabilitation robot to constrain limb movements during training may not alter a subject's muscle synergies, as suggested by preliminary results.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2021)
Article
Robotics
Qingcong Wu, Ying Chen
Summary: Robotic rehabilitation therapy is an important technology for helping disabled individuals recover motor abilities. Clinical studies show that involving patients' active intentions in rehabilitation training can improve the effectiveness of therapies.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Computer Science, Information Systems
Preet Parag Modi, Md Samiul Haque Sunny, Md Mahafuzur Rahaman Khan, Helal Uddin Ahmed, Mohammad H. Rahman
Summary: This research introduces an interactive telerehabilitation system that integrates the IIoT platform with a robotic manipulator, aiming to provide rehabilitation therapies for individuals with upper limb dysfunctions. The system demonstrates stable communication architecture and low teleoperation latency.
Review
Chemistry, Analytical
Manuel Andres Velez-Guerrero, Mauro Callejas-Cuervo, Stefano Mazzoleni
Summary: Processing and control systems based on artificial intelligence have enhanced mobile robotic exoskeletons for upper-limb motor rehabilitation. The main techniques used include artificial neural networks, adaptive algorithms, and other mixed AI techniques. The predominant research trend focuses on developing wearable robotic exoskeletons and integrating data from multiple sensors for intelligent algorithm training.
Article
Clinical Neurology
Catherine E. Lang, Kimberly J. Waddell, Jessica Barth, Carey L. Holleran, Michael J. Strube, Marghuretta D. Bland
Summary: The study finds that patients post-stroke reach a stable level of upper limb activity in daily life within 3 to 6 weeks, often preceding the stabilization of neurological impairments and functional capacity.
NEUROREHABILITATION AND NEURAL REPAIR
(2021)
Article
Computer Science, Artificial Intelligence
Federica Bressi, Benedetta Campagnola, Laura Cricenti, Fabio Santacaterina, Sandra Miccinilli, Giovanni Di Pino, Francesca Fiori, Marco D'Alonzo, Vincenzo Di Lazzaro, Lorenzo Ricci, Fioravante Capone, Alessandra Pacilli, Silvia Sterzi, Marco Bravi
Summary: This study aims to assess the effects of home-based robotic rehabilitation using the iCONE robotic device on stroke patients, despite their chronic condition and the absence of a therapist. The results showed significant improvements in robot-evaluated indices and the MAS of the elbow, and patients had a high acceptance of the robot. Therefore, this rehabilitation method is promising for stroke patients and can improve their quality of life.
FRONTIERS IN NEUROROBOTICS
(2023)
Article
Engineering, Electrical & Electronic
Huimin Cai, Shuxiang Guo, Ziyi Yang, Jian Guo
Summary: This article proposes a motor recovery training and evaluation method for an upper limb rehabilitation robotic system, which includes an exoskeleton rehabilitation robot and PHANTOM1.5. Patients undergo rehabilitation training with the help of a robot in the passive unit and a virtual reality game in the active unit. The fuzzy neural network (FNN), spring-damper model, and a method to evaluate the training trajectory are designed and validated.
IEEE SENSORS JOURNAL
(2023)
Article
Mathematics
Bogdan Mocan, Claudiu Schonstein, Mircea Murar, Calin Neamtu, Mircea Fulea, Mihaela Mocan, Simona Dragan, Horea Feier
Summary: Robotic exoskeletons have the potential to improve the quality of life for cardiac rehabilitation patients. Recent studies have shown significant improvements in physical function, mobility, and overall well-being for individuals recovering from a cardiac event. These improvements can be observed in various measures such as cardiovascular fitness, muscle strength, and joint range of motion. Additionally, the use of robotic exoskeletons can help accelerate the rehabilitation process, allowing patients to progress faster towards their goals.
Article
Chemistry, Analytical
Marco Righi, Massimo Magrini, Cristina Dolciotti, Davide Moroni
Summary: The Track-Hold System (THS) project, developed in a controlled and protected healthcare environment, is a part of the broader context of Robotic-Assisted Therapy (RAT). It aims to use robotic devices for motor and cognitive rehabilitation in a clinical setting. Preliminary clinical results indicate good compliance by patients with robotic-assisted rehabilitation.
Article
Engineering, Biomedical
Antonio Frisoli, Michele Barsotti, Edoardo Sotgiu, Giuseppe Lamola, Caterina Procopio, Carmelo Chisari
Summary: This study compares the effectiveness of robotic training and conventional therapy in stroke rehabilitation. The results show that robotic training leads to greater clinical and functional improvements. Additionally, robotic biomarkers extracted from the measurements have the potential to predict clinical outcomes.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2022)
Review
Rehabilitation
Giovanni Morone, Angela Palomba, Alex Martino Cinnera, Michela Agostini, Irene Aprile, Chiara Arienti, Matteo Paci, Emanuela Casanova, Dario Marino, Giuseppe La Rosa, Federica Bressi, Silvia Sterzi, Marialuisa Gandolfi, Daniele Giansanti, Luca Perrero, Alberto Battistini, Sandra Miccinilli, Serena Filoni, Monica Sicari, Salvatore Petrozzino, Claudio Marcello Solaro, Stefano Gargano, Paolo Benanti, Paolo Boldrini, Donatella Bonaiuti, Enrico Castelli, Francesco Draicchio, Vincenzo Falabella, Silvia Galeri, Francesca Gimigliano, Mauro Grigioni, Stefano Mazzoleni, Stefano Mazzon, Franco Molteni, Maurizio Petrarca, Alessandro Picelli, Federico Posteraro, Michele Senatore, Giuseppe Turchetti, Sofia Straudi
Summary: This study aimed to review clinical practice guidelines for upper limb robotic rehabilitation in stroke patients. Eight eligible guidelines were identified, with half focusing on stroke management and the other half on stroke rehabilitation. Recommendations in the guidelines suggest the use of robotic devices to improve upper limb motor function and strength for stroke patients.
EUROPEAN JOURNAL OF PHYSICAL AND REHABILITATION MEDICINE
(2021)
Article
Chemistry, Multidisciplinary
Andres Blanco-Ortega, Luis Vazquez-Sanchez, Manuel Adam-Medina, Jorge Colin-Ocampo, Arturo Abundez-Pliego, Claudia Cortes-Garcia, Carlos Daniel Garcia-Beltran
Summary: In this paper, a portable exoskeleton for the rehabilitation of upper extremities with three degrees of freedom is proposed. A robust generalized proportional integral (GPI) controller is proposed to provide smooth movements for rehabilitation with the exoskeleton. Simulation results demonstrate the controller's performance against different types of disturbances and are compared with a PID controller.
APPLIED SCIENCES-BASEL
(2022)
Article
Neurosciences
Ophelie Pila, Typhaine Koeppel, Anne-Gaelle Grosmaire, Christophe Duret
Summary: This study compared the effects of active-assisted and active-unassisted robotic interactions on motor recovery in stroke patients, finding that both groups showed improvement in FMA scores post-treatment. Differences were seen in the number of movements and working distance between the two modes of therapy.
RESTORATIVE NEUROLOGY AND NEUROSCIENCE
(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)
Review
Chemistry, Multidisciplinary
Nicola Vale, Marialuisa Gandolfi, Laura Vignoli, Anita Botticelli, Federico Posteraro, Giovanni Morone, Antonella Dell'Orco, Eleonora Dimitrova, Elisa Gervasoni, Michela Goffredo, Jacopo Zenzeri, Arianna Antonini, Carla Daniele, Paolo Benanti, Paolo Boldrini, Donatella Bonaiuti, Enrico Castelli, Francesco Draicchio, Vincenzo Falabella, Silvia Galeri, Francesca Gimigliano, Mauro Grigioni, Stefano Mazzon, Franco Molteni, Maurizio Petrarca, Alessandro Picelli, Michele Senatore, Giuseppe Turchetti, Eugenio Guglielmelli, Nicola Petrone, Loris Pignolo, Giulia Sgubin, Nicola Smania, Loredana Zollo, Stefano Mazzoleni, Italian Consensus Conf Robotic Neurorehabilitation CICERONE
Summary: Robot-assisted rehabilitation for gait and balance in children with neurological disabilities has gained increasing interest, but there are still issues with inadequate and inconsistent protocol descriptions in related studies. Future research should focus on improving the descriptions of rehabilitation protocols and devices.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Multidisciplinary
Sofia Straudi, Marco Tramontano, Emanuele Francesco Russo, Luca Perrero, Michela Agostini, Marialuisa Gandolfi, Irene Aprile, Matteo Paci, Emanuela Casanova, Dario Marino, Giuseppe La Rosa, Federica Bressi, Silvia Sterzi, Daniele Giansanti, Alberto Battistini, Sandra Miccinilli, Serena Filoni, Monica Sicari, Salvatore Petrozzino, Claudio Marcello Solaro, Stefano Gargano, Paolo Benanti, Paolo Boldrini, Donatella Bonaiuti, Enrico Castelli, Francesco Draicchio, Vincenzo Falabella, Silvia Galeri, Francesca Gimigliano, Mauro Grigioni, Stefano Mazzoleni, Stefano Mazzon, Franco Molteni, Maurizio Petrarca, Alessandro Picelli, Federico Posteraro, Michele Senatore, Giuseppe Turchetti, Giovanni Morone
Summary: This review systematically reports the evidence on the clinical applications and functional recovery effects of robotic-assisted arm training (RAT) in patients with Multiple Sclerosis (PwMS). The study found that RAT improved shoulder range of motion, handgrip strength, and proximal arm impairment, as well as manual dexterity, arm function, and daily life use. However, the high clinical heterogeneity of treatment programs and the variety of robot devices call for standardization of intervention types in future studies. Overall, robot-assisted treatment appears safe and useful for improving manual dexterity and movement execution quality in PwMS with moderate to severe disability. Further studies with larger sample sizes and rigorous methodologies are needed to draw definitive conclusions.
APPLIED SCIENCES-BASEL
(2022)
Article
Clinical Neurology
Ophelie Pila, Typhaine Koeppel, Anne-Gaelle Grosmaire, Christophe Duret
Summary: This retrospective study compared two doses of an upper limb rehabilitation program combining robot-assisted therapy and occupational therapy on motor recovery and costs after stroke. The results showed similar motor improvements following two doses of movement-based training. Reducing session time did not affect the intensity of the practice and met economic constraints.
FRONTIERS IN NEUROLOGY
(2022)
Article
Medicine, General & Internal
Rocco Salvatore Calabro, Giovanni Morone, Antonino Naro, Marialuisa Gandolfi, Vitalma Liotti, Carlo D'aurizio, Sofia Straudi, Antonella Focacci, Sanaz Pournajaf, Irene Aprile, Serena Filoni, Claudia Zanetti, Maria Rosaria Leo, Lucia Tedesco, Vincenzo Spina, Carmelo Chisari, Giovanni Taveggia, Stefano Mazzoleni, Nicola Smania, Stefano Paolucci, Marco Franceschini, Donatella Bonaiuti
Summary: Robot-assisted upper limb training may improve outcomes for stroke patients, with exoskeleton robots shown to be more effective in the subacute phase and end-effector robots more effective in the chronic phase. Additional pragmatic and high methodological studies are needed to confirm the effectiveness of these devices.
JOURNAL OF CLINICAL MEDICINE
(2021)
Letter
Respiratory System
A. Di Paco, S. Mazzoleni, M. Vitacca, L. Comini, N. Ambrosino
Article
Chemistry, Analytical
Manuel Andres Velez-Guerrero, Mauro Callejas-Cuervo, Juan C. Alvarez, Stefano Mazzoleni
Summary: This paper proposes an evaluation protocol and assesses the mechanical support properties of a servo-controlled robotic exoskeleton prototype for rehabilitation in upper limbs. The use of soft materials provides satisfactory outcomes in the motion transfer and support to the limb. This study lays the groundwork for a future assessment of the prototype in a controlled laboratory environment using human test subjects.
Article
Chemistry, Analytical
Julien Bonnal, Fanny Monnet, Ba-Thien Le, Ophelie Pila, Anne-Gaelle Grosmaire, Canan Ozsancak, Christophe Duret, Pascal Auzou
Summary: This study investigated the relationship between cortical activation and effort required during exoskeleton-mediated gait at different levels of physical assistance in healthy individuals. The results showed that cortical activation was more widespread during unassisted conditions, which can help optimize neurological rehabilitation strategies.
Review
Clinical Neurology
Anne-Gaelle Grosmaire, Ophelie Pila, Petra Breuckmann, Christophe Duret
Summary: This narrative review outlines the principles and paradigm of robot-assisted therapy for post-stroke upper limb paresis rehabilitation, aiming to promote both recovery of impairment and function.
NEUROREHABILITATION
(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)
Review
Neurosciences
Alberto Loro, Margherita Beatrice Borg, Marco Battaglia, Angelo Paolo Amico, Roberto Antenucci, Paolo Benanti, Michele Bertoni, Luciano Bissolotti, Paolo Boldrini, Donatella Bonaiuti, Thomas Bowman, Marianna Capecci, Enrico Castelli, Loredana Cavalli, Nicoletta Cinone, Lucia Cosenza, Rita Di Censo, Giuseppina Di Stefano, Francesco Draicchio, Vincenzo Falabella, Mirko Filippetti, Silvia Galeri, Francesca Gimigliano, Mauro Grigioni, Marco Invernizzi, Johanna Jonsdottir, Carmelo Lentino, Perla Massai, Stefano Mazzoleni, Stefano Mazzon, Franco Molteni, Sandra Morelli, Giovanni Morone, Antonio Nardone, Daniele Panzeri, Maurizio Petrarca, Federico Posteraro, Andrea Santamato, Lorenza Scotti, Michele Senatore, Stefania Spina, Elisa Taglione, Giuseppe Turchetti, Valentina Varalta, Alessandro Picelli, Alessio Baricich
Summary: This study aims to determine the efficacy of robotic gait training (RAGT) on the balance of post-stroke survivors. The results show that RAGT is equally effective as traditional therapy, and the combination of the two may lead to better outcomes. Therefore, future experimentation should focus on robot-assisted balance training.
Proceedings Paper
Engineering, Biomedical
C. Camardella, G. Cappiello, Z. Curto, M. Germanotta, I. Aprile, S. Mazzoleni, A. Scoglio, A. Frisoli
Summary: Robotic-based rehabilitation administered through serious games offers highly personalized therapy but often lacks long-term information on treatment outcomes. This paper presents a Random-Forest based system that predicts the final outcome of rehabilitation using clinical scale scores and robotic measurements. The system achieved an accuracy of 60% to 73% on selected scales, providing valuable insights into relevant variables for therapy outcomes.
2022 INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR)
(2022)
Proceedings Paper
Biophysics
M. A. Velez-Guerrero, M. Callejas-Cuervo, J. C. Alvarez, Stefano Mazzoleni, Antonio M. Lopez, Diego Alvarez, Leticia Gonzalez
Summary: The study proposes a testing protocol to assess the mechanical and structural features of a prototype upper limb robotic exoskeleton, and also includes a literature review and description of the materials used for evaluation technologies.
2022 GLOBAL MEDICAL ENGINEERING PHYSICS EXCHANGES/PAN AMERICAN HEALTH CARE EXCHANGES (GMEPE/PAHCE)
(2022)
Article
Chemistry, Analytical
Luigi Truppa, Lorenzo Nuti, Stefano Mazzoleni, Pietro Garofalo, Andrea Mannini
Summary: This study proposes instrumental analysis to examine the physiological and biomechanical adaptation of football players to fatigue protocol after the COVID-19 lockdown. The results suggest a good recovery in physiology and ballistic performance, but incomplete recovery in explosive skills.
