Article
Clinical Neurology
Yuhei Murakami, Kaoru Honaga, Hidemi Kono, Koshiro Haruyama, Tomofumi Yamaguchi, Mami Tani, Reina Isayama, Tomokazu Takakura, Akira Tanuma, Kozo Hatori, Futoshi Wada, Toshiyuki Fujiwara
Summary: This study aimed to evaluate the effect of an AI-integrated EMG-driven robot hand on patients with chronic stroke. The results showed significant improvement in motor function and spasticity in patients using the robot, which lasted for 4 weeks. This robot hand may be helpful for upper extremity rehabilitation in stroke patients.
NEUROREHABILITATION AND NEURAL REPAIR
(2023)
Article
Clinical Neurology
Ze-Jian Chen, Ming-Hui Gu, Chang He, Cai-Hua Xiong, Jiang Xu, Xiao-Lin Huang
Summary: This study aimed to investigate the effects of robot-assisted arm training on stroke patients with unilateral spatial neglect. The results showed that this training program was feasible and safe, leading to significant improvements in neglect symptoms, motor function recovery, and social participation, but not in activities of daily living. The findings provide preliminary support for using robot-assisted arm training to remediate unilateral spatial neglect after stroke.
FRONTIERS IN NEUROLOGY
(2021)
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
Chemistry, Analytical
Pascal Jamin, Christophe Duret, Emilie Hutin, Nicolas Bayle, Typhaine Koeppel, Jean-Michel Gracies, Ophelie Pila
Summary: The aim of this study was to quantify treatment dose during robot-assisted training in subacute stroke patients and observe the changes in different training modalities. The results showed that increasing the number of movements and the difficulty level can enhance the intensity of treatment dose.
Article
Robotics
Nathaniel Dennler, Amelia Cain, Erica De Guzmann, Claudia Chiu, Carolee J. Winstein, Stefanos Nikolaidis, Maja J. Mataric
Summary: An often-observed phenomenon in survivors of hemispheric stroke is the overreliance on the less-affected limb for functional tasks, despite the recovered capacity of the paretic limb. To better quantify this arm nonuse, a bimanual arm reaching test with a robot (BARTR) was developed. The BARTR is a valid, reliable, and simple instrument for assessing arm nonuse in chronic stroke survivors.
Article
Multidisciplinary Sciences
Takashi Takebayashi, Yuki Uchiyama, Yuho Okita, Kazuhisa Domen
Summary: Robot-assisted therapy is effective in treating upper extremity paralysis caused by stroke. The two-parameter logistic model item response theory (2PLM-IRT) can be used to objectively select training items based on the severity of paralysis.
SCIENTIFIC REPORTS
(2023)
Article
Food Science & Technology
Jen-Wen Hung, Yen-Wei Chen, Yi-Ju Chen, Ya-Ping Pong, Wen-Chi Wu, Ku-Chou Chang, Ching-Yi Wu
Summary: This study compared two RT approaches as adjunct to BoNT-A injections and found that both condensed and distributed RT could significantly improve spasticity symptoms and activity levels in patients with chronic post-stroke upper limb spasticity.
Article
Clinical Neurology
Jae Joon Lee, Joon-Ho Shin
Summary: This study aimed to identify meaningful predictors and a prediction model for clinically significant motor improvement in upper limb impairment after robot-assisted therapy for stroke patients in different phases. The results showed that hand movement scale and time since onset were significant predictors for substantial motor improvement in patients with subacute stroke, with borderline statistical significance in chronic stroke patients.
FRONTIERS IN NEUROLOGY
(2021)
Article
Engineering, Biomedical
Donovan B. Smith, Stephen H. Scott, Jennifer A. Semrau, Sean P. Dukelow
Summary: This study assessed ipsilesional arm motor impairments using a robot-based assessment over the first 6 months post-stroke. The robot-based assessment revealed a higher incidence of ipsilesional arm impairments than clinical measures. The severity of ipsilesional arm impairments was moderately correlated with contralesional arm impairment severity, but not with the hemisphere of lesion.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2023)
Article
Rehabilitation
Yingnan Lin, Qin-Ying Li, Qingming Qu, Li Ding, Zhen Chen, Fubiao Huang, Shihong Hu, Wei Deng, Fengxian Guo, Chuankai Wang, Panmo Deng, Li Li, Hao Jin, Cong Gao, Beibei Shu, Jie Jia
Summary: This study aimed to compare the efficacy of robot-assisted training and therapist-mediated enhanced upper extremity therapy on the upper and lower extremities of stroke survivors. The results showed that robot-assisted training was not inferior to enhanced upper extremity therapy in reducing impairment of the upper extremity, while showing greater motor recovery of the lower extremity.
JOURNAL OF REHABILITATION MEDICINE
(2022)
Article
Computer Science, Artificial Intelligence
Javier Gil-Castillo, Patricio Barria, Rolando Aguilar Cardenas, Karim Baleta Abarza, Asterio Andrade Gallardo, Angel Biskupovic Mancilla, Jose M. Azorin, Juan C. Moreno
Summary: This study examines the feasibility of using a robot-assisted therapy methodology based on the Bobath concept for gait rehabilitation in stroke patients. The results show significant positive effects on strength improvement, but limitations on range of motion.
FRONTIERS IN NEUROROBOTICS
(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)
Article
Medicine, General & Internal
Cheon Ji Kang, Min Ho Chun, Junekyung Lee, Ji Yeon Lee
Summary: The study investigated the effects of SUBAR-assisted gait training in chronic stroke patients. Results showed improvements in some gait parameters, but no significant differences compared to conventional physiotherapy.
Article
Rehabilitation
Li-Chieh Kuo, Kang-Chin Yang, Yu-Ching Lin, Yu-Chen Lin, Chien-Hsien Yeh, Fong-Chin Su, Hsiu-Yun Hsu
Summary: This study aimed to compare the effects of using an Internet of things (IoT)-assisted tenodesis-induced-grip exoskeleton robot (TIGER) and task-specific motor training (TSMT) as home programs for the upper-limb (UL) functions of patients with chronic stroke, and the results showed that the IoT-assisted TIGER training was more effective in improving the UL functions of stroke patients.
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION
(2023)
Article
Engineering, Biomedical
Alexa B. Keeling, Mark Piitz, Jennifer A. Semrau, Michael D. Hill, Stephen H. Scott, Sean P. Dukelow
Summary: The study developed robotic upper extremity therapy tasks for subacute stroke patients and found significant improvements in FMA UE, ARAT, FIM, and Visually Guided Reaching scores in the robotic therapy group post-intervention. However, only FIM and Arm Position Match scores improved in the control group over the same time period. The Kinarm therapy tasks show potential for improving outcomes in subacute stroke, but further studies are needed to confirm the benefits in a larger cohort.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2021)
Review
Rehabilitation
Ibolya Tavaszi, Alexandra Szilvia Nagy, Gabor Szabo, Gabor Fazekas
Summary: This study evaluated the effectiveness of different treatments for neglect syndrome, identifying 12 successful treatment methods from 19 studies and 7 unsuccessful ones. The quality of the trials and the small number of included patients were highlighted as problematic areas.
INTERNATIONAL JOURNAL OF REHABILITATION RESEARCH
(2021)
Article
Chemistry, Analytical
Jingjing Luo, Junjie Zhen, Peng Zhou, Wei Chen, Yuzhu Guo
Summary: This study developed a video-based facial iPPG detecting equipment that provides multi-dimensional spatiotemporal hemodynamic pulsations for high portability and self-monitoring needs. A series of algorithms were also created for physiological indices extraction and visualization of hemodynamic pulsation distribution. The new device offers a reliable measurement of cardiovascular hemodynamics and, combined with advanced computing techniques, presents a promising solution for user-friendly pervasive healthcare.
Article
Neurosciences
Chenxi Chu, Jingjing Luo, Xiwei Tian, Xiangke Han, Shijie Guo
Summary: This study introduced a novel tactile-stimuli P300 paradigm for BCI targeting individuals with learning difficulties or attention deficits. The paradigm utilized a combination of spatial and frequency information to distinguish targets, achieving high classification accuracy.
FRONTIERS IN HUMAN NEUROSCIENCE
(2021)
Article
Physiology
Mark Vaczi, Gabor Fazekas, Tamas Pilissy, Alexandra Cselko, Lukasz Trzaskoma, Balazs Sebesi, Jozsef Tihanyi
Summary: The study aimed to investigate the effects of nordic hamstring exercise (NHE) on muscle strength and vertical jump performance in young female handball players. The findings suggest that eccentric NHE training can effectively activate hamstring muscles and lead to favorable mechanical adaptations at an early age, particularly in the 11-year-old age group.
EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY
(2022)
Review
Engineering, Biomedical
Jingjing Luo, Zhengrong Yan, Shijie Guo, Wei Chen
Summary: Atherosclerosis screening plays an important role in the transformation of the medical model from therapeutic medicine to preventive medicine. This study introduces five cutting-edge pervasive technologies for atherosclerosis screening, including iPPG, laser Doppler, RF, TI, optical fiber sensing, and piezoelectric sensor. These noninvasive and mobile technologies can detect physiological parameters related to atherosclerosis.
IEEE REVIEWS IN BIOMEDICAL ENGINEERING
(2022)
Article
Robotics
Fuhao Wang, Hongbo Wang, Jingjing Luo, Xiaoyang Kang, Haoyang Yu, Hao Lu, Yu Dong, Xiaoxu Jia
Summary: This letter presents a flexible tendon-driven continuum surgical manipulator called FLORA, which aims to solve the problems of low flexibility, poor internal extension, and chopstick effect in most laparoscopic surgical robots. The manipulator is composed of three independent flexible segments in series, driven by twelve tendons, and has good flexibility and rigidity. It also features a compact actuation unit and a kinematic modeling method based on piecewise constant curvature model, which can accurately model and fast decouple the manipulator.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Qiliang Chen, Yulin Huang, Xing Zhu, Hong Lu, Zhongzhi Ji, Jiacheng Yang, Jingjing Luo
Summary: In this paper, a regression model using 3D convolution neural networks (CNN) for locating radial artery upon radius at the wrist using near-infrared picture sequences is proposed. Compared to previous 2D models, the 3D CNN model achieved superior performance accuracy and highlighted dynamic changes within image sequences.
EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING
(2022)
Article
Engineering, Mechanical
Ibolya Tavaszi, Andras Toth, Tamas Pilissy, Mark Bauer, Zsolt Hodosan, Gabor Stepan, Balint Magyar, Gabor Fazekas
Summary: The REHAROB robotic upper limb rehabilitation system has been enhanced with a newly developed hand/finger therapy module, allowing for a wider range of motion therapy from passive to active reach-to-grasp activities. The system now covers all proximal and distal upper limb joints and features a pair of robotic fingers with two degrees of freedom, enabling finger exercising and object grasping. The system also incorporates a novel orientation setting for the robotic thumb, optimizing its efficiency in grasping tasks. Unlike most similar systems, the REHAROB system uses real objects for the therapy exercises, specifically five carefully selected reach-and-grasp activities of daily living (ADL). Additionally, the system allows for left-right hand side changeover by simply adjusting the orientation of the robotic fingers and exchanging finger orthoses.
PERIODICA POLYTECHNICA-MECHANICAL ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Yunjie Li, Min Wei, Qiliang Chen, Xing Zhu, Hui Li, Hongbo Wang, Jingjing Luo
Summary: Camera-based image sequences can be used to measure blood pressure continuously and noncontactly using a deep-learning approach called Hybrid D1DCnet. The model can predict systolic and diastolic blood pressure by analyzing forehead imaging photoplethysmography (iPPG) waveforms and personal information. The research demonstrates the feasibility and advantages of using this model to monitor circulatory health and contribute to the prevention and intervention of cardiovascular diseases.
IEEE SENSORS JOURNAL
(2023)
Article
Environmental Sciences
Vera Stara, Margherita Rampioni, Adrian Alexandru Mosoi, Dominic M. Kristaly, Sorin-Aurel Moraru, Lucia Paciaroni, Susy Paolini, Alessandra Raccichini, Elisa Felici, Lorena Rossi, Cristian Vizitiu, Alexandru Nistorescu, Mihaela Marin, Gabriella Tonay, Andras Toth, Tamas Pilissy, Gabor Fazekas
Summary: This paper discusses a study protocol for evaluating the acceptance, usability, and efficiency of the SAVE system, which is an information technology-based elderly care system. The system aims to support older adults in living independently and monitor their health and safety conditions, reducing the burden on caregivers. The study will be conducted in three countries using a mixed method approach.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Rehabilitation
Babett Toth, Zoltan Denes, Mariann Nemeth, Gabor Fazekas
Summary: This study aimed to determine if multifrequency bioelectrical impedance is suitable for monitoring the changes in body composition of brain-injured patients for whom individualized nutritional goals were set during rehabilitation. The results suggest that bioelectrical impedance analysis is feasible and informative for monitoring the changes in body composition during rehabilitation.
INTERNATIONAL JOURNAL OF REHABILITATION RESEARCH
(2023)
Review
Rehabilitation
Gabriella Tonay, Tamas Pilissy, Andras Toth, Gabor Fazekas
Summary: An aging society poses challenges for families, service providers, and economies. Assistive technologies based on information and communication technology can enhance older adults' independence and relieve caregivers' burden. However, there is a lack of unified methodology to assess the effectiveness and acceptance of these technologies. This study conducted a scoping review to identify and characterize assessment methods and explore their advantages, disadvantages, and possibilities for combination. It also aimed to define the most commonly used assessment method and outcome measures. A total of 31 studies met the inclusion criteria, and the findings showed a common practice of combining different assessment methods in outcome measurements.
INTERNATIONAL JOURNAL OF REHABILITATION RESEARCH
(2023)
Article
Management
Peter Takac, Krisztina Sandor, Anna Kubincova, Michal Tkac, Gabor Fazekas
Summary: This study analyzed the experience of two workplaces in introducing innovative robotically assisted rehabilitation and its impact on the quality of life of patients. Online questionnaires were distributed to rehabilitation staff, and the Functional Independence Measurement and Barthel index were measured. The results showed that the robots were highly effective and easy to use, with a significant positive effect on the functional status and quality of life of patients.
QUALITY INNOVATION PROSPERITY-KVALITA INOVACIA PROSPERITA
(2023)
Article
Engineering, Electrical & Electronic
Jingjing Luo, Min Wei, Moyi Shi, Yunjie Li, Xing Zhu, Yang Zhou
Summary: This study proposes a novel cardiovascular health state detection procedure based on camera-based iPPG monitoring. The method achieves high accuracy in predicting whether subjects are CVDs relevant patients. The study emphasizes the advantages of using noncontact and high-dimensional features for cardiovascular health assessment.
IEEE SENSORS JOURNAL
(2023)
Proceedings Paper
Engineering, Biomedical
A. Toth, T. Pilissy, M. O. Bauer, G. Al-Absi, S. David, G. Fazekas
Summary: Arm type or exoskeleton type rehabilitation robots move the patient's upper limb through connection points, posing a safety risk if exceeding joint range. We developed a validation toolkit to assess the risk of limiting joint movement for rehabilitation robots.
2022 INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR)
(2022)