Article
Neurosciences
Chang Liu, Jia You, Kun Wang, Shanshan Zhang, Yining Huang, Minpeng Xu, Dong Ming
Summary: Motor imagery-based brain-computer interfaces (MI-BCIs) have great potential in neurological rehabilitation, but their application is limited by a controllable instruction set. To overcome this limitation, we proposed a novel movement-intention encoding paradigm based on sequential finger movement. Our offline and online experiments demonstrated the feasibility of this paradigm and highlighted its potential in extending the instruction set of movement intention-based BCIs.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Engineering, Biomedical
Marta Borras, Sergio Romero, Joan F. Alonso, Alejandro Bachiller, Leidy Y. Serna, Carolina Migliorelli, Miguel A. Mananas
Summary: This study assessed the effect of a limited number of trials on motor-related activity during upper limb movements. The findings suggested that 50 trials can be an appropriate number to obtain stable motor-related features.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Paula Soriano-Segura, Eduardo Ianez, Mario Ortiz, Vicente Quiles, Jose M. Azorin
Summary: This study proposes a new method based on EEG signals to detect the intention to change direction during gait, providing more accurate and natural use of external devices, with promising potential for future BCIs.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
(2021)
Article
Neurosciences
Vadivelan Ramu, Kishor Lakshminarayanan
Summary: The purpose of this study was to evaluate the effect of vibrotactile stimulation prior to repeated complex motor imagery of finger movements using the non-dominant hand on motor imagery performance. The results showed that motor imagery performance was better in terms of event-related desynchronization and digit classification with vibrotactile stimulation compared to without stimulation.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Neurosciences
Satoshi Shibuya, Yukari Ohki
Summary: During the rubber hand illusion, participants perceive a fake hand as their own if the real hand and the fake hand are stroked synchronously and placed in the same position. Using EEG and mirror settings, researchers compared sensorimotor activation during the observation of embodied and non-embodied rubber hands. The results showed that there was a greater and more persistent sensorimotor activation during the movement of the embodied rubber hand, indicating ownership-dependent activation.
Article
Chemistry, Analytical
Jing Zhang, Dong Liu, Weihai Chen, Zhongcai Pei, Jianhua Wang
Summary: This study introduces a deep convolutional neural network for EEG-based motor decoding, achieving high classification accuracy and outperforming other models. Feature visualization was used to evaluate discriminative channels for decoding and demonstrated the feasibility of the proposed architecture. Deep learning can improve decoding performance and expand understanding of brain mapping.
Article
Computer Science, Artificial Intelligence
Feng Duan, Hao Jia, Zhe Sun, Kai Zhang, Yangyang Dai, Yu Zhang
Summary: The study focuses on decoding human intentions before movement onset through the TRCA+CCPs method, achieving higher accuracy in the readiness potential stage. By using a linear discriminant analysis classifier, extracted CCPs can effectively identify movement-related cortical potential activities, aiding in movement detection and ERD analysis.
COGNITIVE COMPUTATION
(2021)
Article
Engineering, Biomedical
Yuxuan Wei, Xu Wang, Ruijie Luo, Ximing Mai, Songwei Li, Jianjun Meng
Summary: This study investigates the spatial-spectral representation of steady-state movement-related rhythm (SSMRR) in EEG during voluntary movements and assesses the effectiveness of decoding movement frequencies and limbs based on SSMRR. The results demonstrate that accurate movement frequencies and limbs can be decoded from EEG using spatial-spectral features extracted from SSMRR.
JOURNAL OF NEURAL ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Juan A. Barios, Santiago Ezquerro, Arturo Bertomeu-Motos, Jose M. Catalan, Jose M. Sanchez-Aparicio, Luis Donis-Barber, Eduardo Fernandez, Nicolas Garcia-Aracil
Summary: In stroke patients, brain activation in the unaffected hemisphere increases when using the unaffected hand, but decreases or disappears in severely affected patients when using the paralyzed hand. Patients with moderate motor deficits show increased activation compared to the control group.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Neethu Robinson, Wei Jie Chester, K. G. Smitha
Summary: This article investigates the feasibility of using a commercial EEG device for motor decoding in the real world and proposes a signal processing strategy. The results demonstrate the effective use of commercial-grade EEG and low-frequency components for real-world motor kinematics BCI applications.
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS
(2021)
Article
Engineering, Biomedical
Baoguo Xu, Yong Wang, Leying Deng, Changcheng Wu, Wenbing Zhang, Huijun Li, Aiguo Song
Summary: This study successfully decoded hand movement types and kinematic information using EEG signals, achieving high accuracy in controlling neuroprosthesis or rehabilitation devices under different movement parameters.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2021)
Review
Neurosciences
Jaime Peter, Francesca Ferraioli, Dave Mathew, Shaina George, Cameron Chan, Tomisin Alalade, Sheilla A. Salcedo, Shannon Saed, Elisa Tatti, Angelo Quartarone, M. Felice Ghilardi
Summary: This study reviews the manifestation of movement-related oscillations in various neurological and psychiatric disorders. It is found that these abnormalities are present across different pathologies, development, and aging. The study also suggests that cognition and movement are closely related processes that may share common mechanisms regulated by beta modulation.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Engineering, Biomedical
Chase Haddix, Amir F. Al-Bakri, Sridhar Sunderam
Summary: This study aimed to decode the degree of effort in specific movement tasks using EEG signals in a BCI system to produce more flexible command signals. Results showed that ERD signals could predict grip force levels, hinting at potential applications in rehabilitative protocols for motor impairments.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Neurosciences
Stefan Bode, Elektra Schubert, Hinze Hogendoorn, Daniel Feuerriegel
Summary: This paper introduces a tutorial-style guide on implementing support vector regression (SVR) in the Decision Decoding Toolbox (DDTBOX). Through simulation studies and real data analysis, the results demonstrate that SVR is effective in predicting continuous variables and robust to temporal windows and jittering of relevant information in the signal.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Neurosciences
Vardan Arutiunian, Giorgio Arcara, Irina Buyanova, Olga Buivolova, Elizaveta Davydova, Darya Pereverzeva, Alexander Sorokin, Svetlana Tyushkevich, Uliana Mamokhina, Kamilla Danilina, Olga Dragoy
Summary: Using MEG technology, this study found that children with autism spectrum disorder (ASD) exhibited bilateral reduction in alpha-band event-related desynchronization (ERD) in the auditory cortex, but not in the visual cortex. Furthermore, alterations in the auditory cortex were associated with a higher presence of autistic traits measured in behavioral assessment.
Article
Chemistry, Multidisciplinary
Alvaro Gutierrez, Nicola Farella, Angel Gil-Agudo, Ana de los Reyes Guzman
Summary: This paper presents a method for upper limb rehabilitation of cervical spinal cord injury patients using a low-cost robot and virtual reality platform, providing vibration and pressure haptic feedback, and allowing interaction with virtual scenes through virtual rehabilitation games and hand tracking system.
APPLIED SCIENCES-BASEL
(2021)
Article
Clinical Neurology
Ana de los Reyes-Guzman, Vicente Lozano-Berrio, Maria Alvarez-Rodriguez, Elisa Lopez-Dolado, Silvia Ceruelo-Abajo, Francisco Talavera-Diaz, Angel Gil-Agudo
Summary: There is a growing interest in the use of technology in the field of neurorehabilitation for quantifying and generating knowledge about sensorimotor disorders, with a focus on low-cost technological solutions. The study presented a virtual applications-based RehabHand prototype for rehabilitating upper limb manipulative skills in patients with neurological conditions, using Leap Motion Controller. Results showed that Leap Motion is suitable for a specific sample of cervical patients with rehabilitation purposes.
NEUROREHABILITATION
(2021)
Article
Engineering, Biomedical
Moon Ki Jung, Silvia Muceli, Camila Rodrigues, Alvaro Megia-Garcia, Alejandro Pascual-Valdunciel, Antonio J. Del-Ama, Angel Gil-Agudo, Juan C. Moreno, Filipe Oliveira Barroso, Jose L. Pons, Dario Farina
Summary: This study compared the performance of surface EMG and intramuscular EMG in estimating the required joint torques for assistive devices. The results showed that there was a similar correlation between the experimental and predicted joint torques when using either surface or intramuscular EMG as input signals in both healthy individuals and SCI patients.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2022)
Article
Nutrition & Dietetics
Soraya Martin-Manjarres, Carlos Rodriguez-Lopez, Maria Martin-Garcia, Sara Vila-Maldonado, Cristina Granados, Esmeralda Mata, Angel Gil-Agudo, Irene Rodriguez-Gomez, Ignacio Ara
Summary: People with spinal cord injury (SCI) tend to be more sedentary and have increased fat accumulation, which can negatively affect their metabolic flexibility. This study investigated the ability to oxidize fat in a homogenous sample of men with SCI compared to healthy noninjured men during an arm cycling test. The findings showed that men with SCI had higher fat oxidation levels at any intensity, even after adjusting for lean mass, fat mass, and cardiorespiratory fitness.
INTERNATIONAL JOURNAL OF SPORT NUTRITION AND EXERCISE METABOLISM
(2022)
Article
Neurosciences
Isabel Sinovas-Alonso, Diana Herrera-Valenzuela, Roberto Cano-de-la-Cuerda, Ana De los Reyes-Guzman, Antonio J. Del-Ama, Angel Gil-Agudo
Summary: The study investigated the applicability of the Gait Deviation Index (GDI) in the population with Spinal Cord Injury (SCI). The results showed that GDI was normally distributed in both SCI and healthy volunteer groups. Furthermore, there was an increasing relationship between GDI values and the Walking Index for Spinal Cord Injury (WISCI) II levels in subjects with SCI, but only significant in WISCI II levels 13, 19, and 20. The index successfully distinguished the healthy volunteer group from individuals with SCI.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Pediatrics
Javier Merino-Andres, Alvaro Hidalgo-Robles, Soraya Perez-Nombela, Sian A. Williams, Ginny Paleg, Francisco Javier Fernandez-Rego
Summary: The study aimed to assess the use of diagnostic assessment tools in pediatric physical therapy practice in Spain. The findings indicate that currently, pediatric physical therapists in Spain mainly rely on clinical history and outdated tools to identify children with cerebral palsy.
PEDIATRIC PHYSICAL THERAPY
(2022)
Article
Biotechnology & Applied Microbiology
Diana Herrera-Valenzuela, Isabel Sinovas-Alonso, Juan C. Moreno, Angel Gil-Agudo, Antonio J. del-Ama
Summary: The Gait Deviation Index (GDI) is a dimensionless measure used to evaluate overall gait pathology. It has been widely used in various conditions but has not been studied in the population with spinal cord injury (SCI). This study investigates the application of GDI in SCI and proposes a new metric, the SCI-GDI. The findings suggest that the SCI-GDI is more sensitive to larger gait impairment than the GDI and further validation is needed.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Engineering, Biomedical
Jesus Minguillon, Marc Tudela-Pi, Laura Becerra-Fajardo, Enric Perera-Bel, Antonio J. del-Ama, Angel Gil-Agudo, Alvaro Megia-Garcia, Aracelys Garcia-Moreno, Antoni Ivorra
Summary: Wireless power transfer (WPT) is used as an alternative to batteries for miniaturization of electronic medical implants. We propose a WPT approach based on high frequency (HF) current bursts, which avoids bulky components and enables flexible threadlike implants. Our results demonstrate the feasibility of wirelessly powering threadlike implants using innocuous and imperceptible HF current bursts based on volume conduction.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2023)
Article
Chemistry, Analytical
Camila Rodrigues-Carvalho, Marvin Fernandez-Garcia, David Pinto-Fernandez, Clara Sanz-Morere, Filipe Oliveira Barroso, Susana Borromeo, Cristina Rodriguez-Sanchez, Juan C. Moreno, Antonio J. del-Ama
Summary: Nowadays, robotic technology for gait training is common in rehabilitation hospitals, but its effectiveness is still controversial. This study evaluated three types of exoskeleton control strategies in healthy volunteers and found that the EMG-based controller performed well in detecting stepping intention. However, these controllers did not result in significant changes in the overall physiological cost of walking or the perceived experience of use.
Article
Engineering, Biomedical
Angel Gil-Agudo, Alvaro Megia-Garcia, Jose Luis Pons, Isabel Sinovas-Alonso, Natalia Comino-Suarez, Vicente Lozano-Berrio, Antonio J. del-Ama
Summary: This study aimed to assess the safety and feasibility of using the HANK exoskeleton for walking rehabilitation, and investigate its effects on walking function. The results showed that the use of HANK exoskeleton in clinical settings is safe and well-tolerated by the patients. Patients receiving treatment with the exoskeleton improved their walking independence as measured by the WISCI-II.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2023)
Article
Multidisciplinary Sciences
Marta Neira Alvarez, Antonio R. Jimenez Ruiz, Guillermo Garcia-Villamil Neira, Elisabet Huertas-Hoyas, Maria Teresa Espinoza Cerda, Laura Perez Delgado, Elena Reina Robles, Antonio J. del-Ama, Luisa Ruiz-Ruiz, Sara Garcia-de-Villa, Cristina Rodriguez-Sanchez
Summary: Falls in the elderly population are a major concern, and the G-STRIDE system, a 6-axis inertial measurement unit (IMU) with onboard processing algorithms, showed promising results in measuring walking parameters correlated with fall risk. A cross-sectional case-control study found that the G-STRIDE can differentiate between fallers and non-fallers based on walking metrics. Preliminary fall-risk assessment based on these metrics improved the Timed Up and Go test in identifying fallers.
SCIENTIFIC REPORTS
(2023)
Review
Engineering, Biomedical
Camila R. Carvalho, J. Marvin Fernandez, Antonio J. del-Ama, Filipe Oliveira Barroso, Juan C. Moreno
Summary: This paper reviewed the state-of-the-art of EMG onset detection methods and compared the performance of the most commonly used methods on experimental data. The study found that threshold-based methods are still the most commonly used for EMG onset detection. The three most commonly used methods (Single, Double, and Adaptive Threshold) were proven to be accurate, with Single and Adaptive Threshold being faster in detection time.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2023)
Article
Multidisciplinary Sciences
Sara Garcia-de-Villa, Guillermo Garcia-Villamil Neira, Marta Neira Alvarez, Elisabet Huertas-Hoyas, Luisa Ruiz Ruiz, Antonio J. del-Ama, Maria Cristina Rodriguez Sanchez, Antonio R. Jimenez
Summary: The GSTRIDE database contains health status assessments of 163 elderly adults, including socio-demographic data, functional variables, and outcomes from commonly performed tests. The database includes gait parameters estimated from IMU measurements, such as walking distance, strides, and various spatio-temporal gait parameters. In addition, the database provides raw IMU recordings and Python programming codes for researchers to test different gait analysis algorithms. It focuses on studying frailty-related parameters distinguishing faller and non-faller populations, and analyzing gait-related parameters in frail subjects, which are important topics for the elderly.
Article
Clinical Neurology
Isabel Sinovas-Alonso, Diana Herrera-Valenzuela, Ana de-los-Reyes-Guzman, Roberto Cano-de-la-Cuerda, Antonio J. del-Ama, Angel Gil-Agudo
Summary: SCI-GDI demonstrated construct validity with the 10MWT, TUGT, LEMS, SCIM IIIIOMob, and SS WISCI II levels for independently walking adults with iSCI. Further research should be conducted with a more diverse sample, including the pediatric population, to assess the psychometric characteristics.
NEUROREHABILITATION AND NEURAL REPAIR
(2023)