Журнал высшей нервной деятельности им И П Павлова, Journal Year: 2024, Volume and Issue: 74(5), P. 591 - 605
Published: Nov. 27, 2024
Language: Английский
Military Medical Research, Journal Year: 2025, Volume and Issue: 12(1)
Published: March 24, 2025
Abstract Brain-computer interfaces (BCIs) represent an emerging technology that facilitates direct communication between the brain and external devices. In recent years, numerous review articles have explored various aspects of BCIs, including their fundamental principles, technical advancements, applications in specific domains. However, these reviews often focus on signal processing, hardware development, or limited such as motor rehabilitation communication. This paper aims to offer a comprehensive electroencephalogram (EEG)-based BCI medical field across 8 critical areas, encompassing rehabilitation, daily communication, epilepsy, cerebral resuscitation, sleep, neurodegenerative diseases, anesthesiology, emotion recognition. Moreover, current challenges future trends BCIs were also discussed, personal privacy ethical concerns, network security vulnerabilities, safety issues, biocompatibility.
Language: Английский
Citations
2
International Journal of Surgery, Journal Year: 2024, Volume and Issue: 110(9), P. 5745 - 5762
Published: Aug. 14, 2024
Neurological disorders such as Parkinson’s disease, stroke, and spinal cord injury can pose significant threats to human mortality, morbidity, functional independence. Brain–Computer Interface (BCI) technology, which facilitates direct communication between the brain external devices, emerges an innovative key unlocking neurological conditions, demonstrating promise in this context. This comprehensive review uniquely synthesizes latest advancements BCI research across multiple disorders, offering interdisciplinary perspective on both clinical applications emerging technologies. We explore progress its addressing various with a particular focus recent studies prospective developments. Initially, provides up-to-date overview of encompassing classification, operational principles, prevalent paradigms. It then critically examines specific movement consciousness, cognitive mental well sensory highlighting novel approaches their potential impact patient care. reveals trends applications, integration artificial intelligence development closed-loop systems, represent over previous The concludes by discussing prospects directions underscoring need for collaboration ethical considerations. emphasizes importance prioritizing bidirectional high-performance BCIs, areas that have been underexplored reviews. Additionally, we identify crucial gaps current research, particularly long-term efficacy standardized protocols. role neurosurgery spearheading translation is highlighted. Our analysis presents technology transformative approach diagnosing, treating, rehabilitating substantial enhance patients’ quality life advance field neurotechnology.
Language: Английский
Citations
15
Spinal Cord, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 9, 2025
Abstract Study design Systematic scoping review. Objectives Extended reality (XR) is becoming a recognisable tool for assisting in spinal cord injury (SCI) rehabilitation. While the success of XR mediated interventions often evaluated based on improvements physical and functional performance, present systematic review aimed to identify synthesize evidence reported psychological outcomes SCI In doing so, we contribute towards an adaptation that meaningful individuals living with SCI. Methods Seven bibliometric databases were systematically searched. Included studies needed be peer-reviewed, test structured targeted adult (≥ 16 years) population, assess any construct. Individual double-screening against pre-defined eligibility criteria was performed. Data from included extracted, tabulated, analysed. Results A total 964 unique initially identified. 13 analysis. The most frequently quantified depression, self-esteem, anxiety. Among other things, qualitative suggests VR-based provided enjoyment, relaxation, source positive distraction. Conclusion Immersive rehabilitation have been positively evaluated, both qualitatively quantitatively, participants. further research needed, find immersive emerging treatment option promise maintaining improving health during
Language: Английский
Citations
1
Journal of Multidisciplinary Healthcare, Journal Year: 2025, Volume and Issue: Volume 18, P. 1297 - 1317
Published: March 1, 2025
This study aims to conduct a bibliometric analysis of the application brain- computer interface (BCI) in rehabilitation medicine, assessing current state, developmental trends, and future potential this field. By systematically analyzing relevant literature, we seek identify key research themes enhance understanding BCI technology rehabilitation. We utilized tools such as VOSviewer CiteSpace screen analyze 426 articles from Web Science Core Collection (WoSCC) database. quantitatively evaluated citation patterns, publication collaboration networks institutions authors uncover hotspots frontier dynamics The findings indicate continuous increase publications since 2003, with notable peak occurring between 2019 2021. revealed that motor imagery, recovery, signal processing are predominant themes. Furthermore, United States China leading volume related medicine. Key include University Tübingen New York State Department Health, significant contributions scholars like Niels Birbaumer. Although on medicine shows efficacy, further exploration certain directions is needed, along promotion interdisciplinary comprehensively address complex real-world issues function impairment. Future should focus optimizing training models, enhancing technical feasibility, exploring home applications facilitate broader adoption
Language: Английский
Citations
1
Journal of Integrative Neuroscience, Journal Year: 2024, Volume and Issue: 23(7)
Published: July 5, 2024
This review provides a comprehensive examination of recent developments in both neurofeedback and brain-computer interface (BCI) within the medical field rehabilitation. By analyzing comparing results obtained with various tools techniques, we aim to offer systematic understanding BCI applications concerning different modalities input data utilized. Our primary objective is address existing gap area meta-reviews, which more outlook on field, allowing for assessment current landscape scope BCI. main methodologies include meta-analysis, search queries employing relevant keywords, network-based approach. We are dedicated delivering an unbiased evaluation studies, elucidating vectors research development this field. encompasses diverse range applications, incorporating use interfaces rehabilitation treatment diagnoses, including those related affective spectrum disorders. encompassing wide variety cases, perspective utilization treatments across contexts. The structured organized presentation information, complemented by accompanying visualizations diagrams, renders valuable resource scientists researchers engaged domains biofeedback interfaces.
Language: Английский
Citations
8
Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(18), P. 5429 - 5429
Published: Sept. 13, 2024
: The spinal rehabilitation process plays a crucial role in SCI patients' lives, and recent developments VR have the potential to efficiently engage patients therapeutic activities promote neuroplasticity.
Language: Английский
Citations
5
Biomedical Physics & Engineering Express, Journal Year: 2024, Volume and Issue: 10(3), P. 035003 - 035003
Published: Feb. 28, 2024
Abstract Stroke is a neurological syndrome that usually causes loss of voluntary control lower/upper body movements, making it difficult for affected individuals to perform Activities Daily Living (ADLs). Brain-Computer Interfaces (BCIs) combined with robotic systems, such as Motorized Mini Exercise Bikes (MMEB), have enabled the rehabilitation people disabilities by decoding their actions and executing motor task. However, Electroencephalography (EEG)-based BCIs are presence physiological non-physiological artifacts. Thus, movement discrimination using EEG become challenging, even in pedaling tasks, which not been well explored literature. In this study, Common Spatial Patterns (CSP)-based methods were proposed classify tasks. To address this, Filter Bank (FBCSP) Spatial-Spectral (FBCSSP) implemented different spatial filtering configurations varying time segment filter bank combinations three decode An in-house dataset during tasks was registered 8 participants. As results, best configuration corresponds two filters (8–19 Hz 19–30 Hz) window between 1.5 2.5 s after cue implementing filters, provide accuracy approximately 0.81, False Positive Rates lower than 0.19, Kappa index 0.61. This work implies oscillatory patterns can be accurately classified machine learning. Therefore, our method applied context, MMEB-based BCIs, future.
Language: Английский
Citations
4
Journal of NeuroEngineering and Rehabilitation, Journal Year: 2024, Volume and Issue: 21(1)
Published: April 5, 2024
Abstract Background This research focused on the development of a motor imagery (MI) based brain–machine interface (BMI) using deep learning algorithms to control lower-limb robotic exoskeleton. The study aimed overcome limitations traditional BMI approaches by leveraging advantages learning, such as automated feature extraction and transfer learning. experimental protocol evaluate was designed asynchronous, allowing subjects perform mental tasks at their own will. Methods A total five healthy able-bodied were enrolled in this participate series sessions. brain signals from two these sessions used develop generic model through Subsequently, fine-tuned during remaining subjected evaluation. Three distinct compared: one that did not undergo fine-tuning, another all layers model, third only last three layers. evaluation phase involved exclusive closed-loop exoskeleton device participants’ neural activity second approach for decoding. Results assessed comparison an spatial features trained each subject session, demonstrating superior performance. Interestingly, without fine-tuning achieved comparable performance features-based approach, indicating data different individuals previous can yield similar efficacy. Among compared, layer weights demonstrated highest Conclusion represents initial stride toward future calibration-free methods. Despite efforts diminish calibration time other subjects, complete elimination proved unattainable. study’s discoveries hold notable significance advancing approaches, offering promise minimizing need training trials. Furthermore, employed replicate real-life scenarios, granting participants higher degree autonomy decision-making regarding actions walking or stopping gait.
Language: Английский
Citations
4
Published: Jan. 1, 2025
Language: Английский
Citations
0
Journal of NeuroEngineering and Rehabilitation, Journal Year: 2025, Volume and Issue: 22(1)
Published: March 26, 2025
Abstract Background Individuals with lower-limb amputations are highly dependent upon prostheses to perform daily activities and adapt environmental changes. Transtibial prosthesis (TTP) users in particular, experience greater challenges motor control demonstrate impaired cognitive functions, when compared able-bodied persons. The identification of neural mechanisms underlying adaptation or compensation may contribute the development expansion rehabilitation strategies. Objective To examine neuroplasticity changes transtibial amputees by analyzing event-related potentials (ERPs) obtained from Electroencephalogram (EEG) during Go/No-Go tasks assess adaptations. Methods Twenty-eight TTP twenty-eight persons were recruited. EEG was recorded eyes-open resting states, ERPs a Go/No-go task. Results Our findings that, resting-state, group exhibited no significant differences brain activity across regions. However, task, an increase N2 amplitude observed, reduction P3 noted group. Conclusion These demonstrated modifications individuals amputation, particularly relation inhibitory control, which is essential for effective attentional control. Deficits interfere decision-making processes, thereby impairing execution that require sustained attention flexibility. Based on these adaptions, it be necessary consider targeted interventions aimed at enhancing incorporating specific cortical training strategies users.
Language: Английский
Citations
0