Article
Automation & Control Systems
Yu Zhou, Jia Zeng, Kairu Li, Levi J. Hargrove, Honghai Liu
Summary: Accurate force control is crucial in FES-based neuroprosthesis applications, and this study proposes an sEMG-driven solution that shows excellent performance in estimating FES parameters and muscle force reconstruction. The experimental results confirm the feasibility and practical potential of the proposed FES control method.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Review
Clinical Neurology
Annabella Kurz, Gerd Fabian Volk, Dirk Arnold, Berit Schneider-Stickler, Winfried Mayr, Orlando Guntinas-Lichius
Summary: This article discusses the potential clinical value of surface electrical stimulation in the acute phase of denervation after facial nerve or recurrent laryngeal nerve paralysis, highlighting similarities between the two nerve lesions and the importance of directly stimulating denervated muscles. Early electromuscular stimulation may improve functional outcomes, but further research is needed to confirm its efficacy in larger controlled trials.
FRONTIERS IN NEUROLOGY
(2022)
Article
Chemistry, Multidisciplinary
Yi Zhang, Qi An, Shuting Zhang, Zequn Ma, Xiantong Hu, Mengchun Feng, Yihe Zhang, Yantao Zhao
Summary: Developing a novel antibiotics-free antibacterial strategy is crucial in preventing bacterial resistance. In this study, a piezoelectrically active antibacterial device was developed, inspired by chemical conversion processes in living organisms. This device successfully converts ambient O-2 and H2O to reactive oxygen species (ROS) through piezocatalytic processes, exhibiting high sterilizing rates and promoting wound healing.
Article
Optics
Menglan Lin, Jianjia Yi, Xiaoming Chen, Zhi Hao Jiang, Lina Zhu, Peihan Qi, Shah Nawaz Burokur
Summary: This paper presents the design, fabrication, and characterization of frequency-selective absorbers with high absorption properties within a pre-defined frequency band and high transparency in another targeted frequency band. The proposed designs show 80% broadband absorption over the desired frequency range and possess a transparent window in a higher or lower frequency band for a wide range of incidence angles up to 60 degrees, making them promising candidates for multi-functional scattering control and communication applications.
Article
Engineering, Biomedical
Gongkai Ye, Pirashanth Theventhiran, Kei Masani
Summary: This study investigated the fatigue reducing ability of spatially distributed sequential stimulation (SDSS) in functional electrical stimulation (FES)-rowing. The results showed that SDSS significantly reduced fatigue and lengthened the rowing time by approximately 30%. The study demonstrated that the application of SDSS could enhance the effectiveness of FES-rowing as a rehabilitative exercise.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
Article
Chemistry, Analytical
Natiely Hernandez-Sebastian, Victor Manuel Carpio-Verdin, Fabian Ambriz-Vargas, Francisco Morales-Morales, Alfredo Benitez-Lara, Mario Humberto Buenrostro-Jauregui, Erik Bojorges-Valdez, Bernardino Barrientos-Garcia
Summary: This study presents the development of a sectioned surface electrode for selective electric stimulation of the human cornea. The fabricated prototype demonstrates high electrical conductivity, average impedance, and biocompatibility, making it a promising device for the treatment of degenerative visual diseases.
Article
Chemistry, Multidisciplinary
Youssif Merhi, Pablo F. Betancur, Teresa S. Ripolles, Charlotte Suetta, Morten R. Brage-Andersen, Sofie K. Hansen, Anders Frydenlund, Jens Vinge Nygaard, Peter H. Mikkelsen, Pablo P. Boix, Shweta Agarwala
Summary: Muscle atrophy is a common problem caused by immobilization and critical illness, leading to rehabilitation difficulties and increased mortality. This study presents a solution for preserving muscle mass through the use of a customized biocompatible neuromuscular electrical stimulation (NMES) device. The integration of dry and biocompatible electrodes into a compressive stocking textile was demonstrated, resulting in extended usage without skin irritation. Electrochemical analysis showed improved performance of the printed electrodes compared to commercial ones, and promising results were obtained in a hospital setting for muscle atrophy evaluation.
Article
Neurosciences
Matija Milosevic, Tomoya Nakanishi, Atsushi Sasaki, Akiko Yamaguchi, Taishin Nomura, Milos R. Popovic, Kimitaka Nakazawa
Summary: The study demonstrated that FEST can effectively improve motor function and increase cortical activations in individuals with chronic TBI. Short-term and long-term assessments indicated increased M1 activation after FEST intervention, which remained stable during follow-ups, suggesting a promising rehabilitation approach for TBI patients.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Multidisciplinary Sciences
Geumbee Lee, Emily Ray, Hong -Joon Yoon, Sabrina Genovese, Yeon Sik Choi, Min-Kyu Lee, Samet Sahin, Ying Yan, Hak-Young Ahn, Amay J. Bandodkar, Joohee Kim, Minsu Park, Hanjun Ryu, Sung Soo Kwak, Yei Hwan Jung, Arman Odabas, Umang Khandpur, Wilson Z. Ray, Matthew R. MacEwan, John A. Rogers
Summary: This study introduces a bioresorbable nerve stimulator that can provide pain relief through electrical nerve block without the need for surgical extraction. The device is designed to minimize adverse effects and disappears harmlessly in the body after use, making it a potential alternative to addictive drugs for pain treatment.
Article
Neurosciences
Rui Xu, Xinyu Zhao, Ziyao Wang, Hengyu Zhang, Lin Meng, Dong Ming
Summary: This study proposes a FES control strategy based on sEMG and kinematic information for dynamic movement reproduction. The strategy achieves high accuracy and good performance through the use of a direct transfer function (DTF) and muscle synergy ratio to determine the pulse width (PW) of FES.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Clinical Neurology
William H. Bosking, Denise N. Oswalt, Brett L. Foster, Ping Sun, Michael S. Beauchamp, Daniel Yoshor
Summary: This study investigated the perception of phosphenes evoked by multi-electrode stimulation in the visual cortex of human epilepsy patients. The results showed that simultaneous stimulation of multiple electrodes resulted in varying patterns of phosphenes, with significant variations in location, size, and orientation. While the multi-electrode stimulation did not produce recognizable forms, subjects were able to use the pattern of phosphenes for simple discriminations.
Article
Computer Science, Information Systems
Tatsuhiro Hamana, Minami Kawashima, Sho Sakaino, Toshiaki Tsuji
Summary: This study describes a method that uses multi-point stimulation to address the issues of exerting a large force and low selectivity. The results of the experiments show that the proposed method can achieve greater force output without compromising selectivity. Additionally, the method also demonstrates advantages in finger angle control.
Article
Engineering, Biomedical
Hui Xie, Yi Wang, Zixin Ye, Shiyi Fang, Zhen Xu, Tianzhun Wu, Leanne Lai Hang Chan
Summary: Retinal prostheses can restore partial vision in patients with retinal diseases, but precise positioning remains challenging, and high impedance may not always lead to optimal cortical responses.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2021)
Article
Chemistry, Analytical
Gongkai Ye, Saima S. Ali, Austin J. Bergquist, Milos R. Popovic, Kei Masani
Summary: The study found that sequential stimulation (SEQ) can effectively reduce neuromuscular fatigue, but its adoption in research and clinical settings is limited. By using the SEQ adapter, signal integrity can be preserved, effectively increasing the utilization of SEQ in existing rehabilitation paradigms.
Article
Engineering, Biomedical
Ashwati Krishnan, Mats Forssell, Zhanhong Du, X. Tracy Cui, Gary K. Fedder, Shawn K. Kelly
Summary: The study focuses on using residual voltage (RV) from biphasic electrical stimulation pulse to identify degradation at the electrode-tissue interface. The research demonstrates that monitoring RV growth can be an effective method for assessing electrode health. The significance lies in the ability to detect and address faulty electrodes in a timely manner, ensuring optimal long-term operation of multi-electrode arrays.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Engineering, Biomedical
Alexander E. Olsson, Nebojsa Malesevic, Anders Bjorkman, Christian Antfolk
Summary: The proposed Myoelectric Representation Learning (MRL) framework outperformed the standard Linear Discriminant Analysis (LDA) framework in terms of online performance metrics and temporal stability when applied to myoelectric control interfaces. The results suggest that MRL can generate stable mappings from EMG to kinematics, enabling real-time myoelectric control with superior performance compared to LDA, indicating its potential practical utility for muscle-computer interfaces.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2021)
Article
Orthopedics
Andreia S. P. Sousa, Claudia Isabel Costa da Silva, Ines Albuquerque Mesquita, Augusta Silva, Rui Macedo, Eukene Imatz-Ojanguren, Erik Hernandez, Thierry Keller, Juliana Moreira, Pedro Filipe Pereira da Fonseca, Rubim Santos
Summary: This study aimed to determine the optimal functional electrical stimulation (FES) parameters that assist the reaching phase of drinking task (drinking task-reaching phase) in post stroke patients and analyze the repeatability of related upper limb movement quality indicators. Reliable FES parameters were established by adjusting them to improve upper limb function based on a consensus between physiotherapists and patients' perspective. The findings showed that the main characteristics of FES parameters that improve patient perception of change are stable, facilitating its implementation in clinical practice and ensuring consistency between intervention sessions.
JOURNAL OF HAND THERAPY
(2022)
Article
Engineering, Biomedical
Samantha G. Rozevink, Corry K. van der Sluis, Ainara Garzo, Thierry Keller, Juha M. Hijmans
Summary: This study investigated the impact of MERLIN training on upper limb function in stroke patients in the chronic phase. Results showed significant improvement in upper limb function after six weeks of training, although no significant changes in quality of life were observed. Patients were satisfied with the usability of the device, but further improvements in comfort and system robustness are needed.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2021)
Article
Engineering, Biomedical
Martin A. Garenfeld, Nikola Jorgovanovic, Vojin Ilic, Matija Strbac, Milica Isakovic, Jakob L. Dideriksen, Strahinja Dosen
Summary: The study proposed a novel compact solution for simultaneous recording and stimulation through dynamic blanking of stimulation artefacts. By developing a feedback coding scheme specifically for myoelectric control, it was found that the quality of closed-loop control was preserved in spite of electrotactile stimulation.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2021)
Article
Engineering, Biomedical
Tanja Boljanic, Milica Isakovic, Jovana Malesevic, Domenico Formica, Giovanni Di Pino, Thierry Keller, Matija Strbac
Summary: This study presents a multi-pad electrode system for conveying multi-modal proprioceptive and sensory information from supernumerary robotic limbs to the user's thigh. The results show that the electrode system has a good active range and intensity level, and has the potential to provide a high bandwidth feedback channel.
Biographical-Item
Engineering, Biomedical
Lana Popovic-Maneski, Strahinja Dosen, Milos R. Popovic, Christine Azevedo, Thierry Keller, Simona Ferrante, Vance Bergeron, Matija Milosevic
Article
Chemistry, Analytical
Nebojsa Malesevic, Anders Bjorkman, Gert S. Andersson, Christian Cipriani, Christian Antfolk
Summary: This paper evaluates fourteen common algorithms for the direct and proportional control of a prosthetic hand. The estimation of forces generated in the hand using different algorithms is compared to the measured forces, providing a baseline performance metric for more advanced algorithms.
Article
Engineering, Biomedical
Lana Popovic-Maneski, Sebastien Mateo
Summary: MotiMove is a battery-powered functional electrical stimulator that has been developed over 40 years of academic research. It can be used for therapeutic intervention, clinical research, and fitness training, and offers real-time control of stimulation parameters and multiple sensors.
Article
Computer Science, Interdisciplinary Applications
Jonathan Lundsberg, Anders Bjorkman, Nebojsa Malesevic, Christian Antfolk
Summary: This study proposes a new automatic decomposition method for high-density surface electromyography (HDsEMG) that can better estimate the distribution of motor unit action potentials (MUAP) and identify more motor units. By using compression and clustering techniques, the method significantly improves the decomposition performance. Validation results demonstrate good performance of the proposed method on both simulated data and experimental data.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Automation & Control Systems
Ainara Garzo, Je H. Jung, Javier Arcas-Ruiz-Ruano, Joel C. Perry, Thierry Keller
Summary: ArmAssist (AA) is a platform developed by TECNALIA for telerehabilitation, aiming to assist poststroke subjects in maintaining upper limb rehabilitation at home. It includes robotic modules with multiple sensors for training and measuring voluntary movements, as well as a serious games-based assessment platform for engaging users and performing automated evaluations.
IEEE ROBOTICS & AUTOMATION MAGAZINE
(2023)
Article
Engineering, Biomedical
Robin Rohlen, Jonathan Lundsberg, Nebojsa Malesevic, Christian Antfolk
Summary: This study proposes a fast velocity-based BSS (velBSS) algorithm suitable for online purposes that decomposes velocity images from low-force voluntary isometric contractions into spatiotemporal components associated with single MU activities. The computational time for velBSS was at least 20 times less than for stICA, while the twitch responses and spatial maps extracted from stICA and velBSS for the same MU reference were highly correlated (0.96 +/- 0.05 and 0.81 +/- 0.13).
JOURNAL OF NEURAL ENGINEERING
(2023)
Article
Chemistry, Analytical
Nebojsa Malesevic, Ingrid Svensson, Gunnar Hagglund, Christian Antfolk
Summary: This paper presents a multimodal approach using IMU sensors and EMG measurement to accurately measure knee angles in individuals with cerebral palsy. The approach provides valuable insights into gait patterns and treatment outcomes, making it suitable for evaluating motor control and posture.
Article
Computer Science, Cybernetics
Filip Gasparic, Nikola Jorgovanovic, Christian Hofer, Michael F. Russold, Mario Koppe, Darko Stanisic, Strahinja Dosen
Summary: EMG biofeedback with nonlinear mapping can improve prosthesis force control, especially for higher forces.
IEEE TRANSACTIONS ON HAPTICS
(2023)
Proceedings Paper
Computer Science, Software Engineering
Jabier Martinez, Alejandra Ruiz, Ainara Garzo, Thierry Keller, Ansgar Radermacher, Stefano Tonetta
Summary: This study focuses on the modelling and safety considerations of the ArmAssist robotic system in early design phases for stroke rehabilitation. The team collaborated with neurorehabilitation domain experts using the open-source tool Papyrus for Robotics. New functionalities were contributed for contract-based design at component and system level, allowing explicit and validated safety considerations.
2021 IEEE/ACM 3RD INTERNATIONAL WORKSHOP ON ROBOTICS SOFTWARE ENGINEERING (ROSE 2021)
(2021)