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Concurrency of transcranial magnetic stimulation with electroencephalography (TMS-EEG) technique is a powerful and challenging methodology for basic research and clinical applications. Aspects considered in experiments for effective TMS-EEG…

Neurons and Cognition · Quantitative Biology 2024-03-18 Hua Cheng

Stroke patient cross-subject electroencephalography (EEG) decoding of motor imagery (MI) brain-computer interface (BCI) is essential for motor rehabilitation, yet lesion-related abnormal temporal dynamics and pronounced inter-patient…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Xiangkai Wang , Yun Zhao , Dongyi He , Qingling Xia , Gen Li , Nizhuan Wang , Ningxiao Peng , Bin Jiang

Currently, strokes are the leading cause of adult disability in the United States. Traditional treatment and rehabilitation options such as physical therapy and tissue plasminogen activator are limited in their effectiveness and ability to…

Signal Processing · Electrical Eng. & Systems 2020-08-20 Mohammad-Parsa Hosseini , Cecilia Hemingway , Jerard Madamba , Alexander McKee , Natalie Ploof , Jennifer Schuman , Elliot Voss

Developing a Brain-Computer Interface~(BCI) for seizure prediction can help epileptic patients have a better quality of life. However, there are many difficulties and challenges in developing such a system as a real-life support for…

Machine Learning · Computer Science 2017-02-20 Mohammad-Parsa Hosseini , Hamid Soltanian-Zadeh , Kost Elisevich , Dario Pompili

Myocardial infarction (MI), commonly known as a heart attack, is a critical health condition caused by restricted blood flow to the heart. Early-stage detection through continuous ECG monitoring is essential to minimize irreversible damage.…

Machine Learning · Computer Science 2024-11-28 Abhijith S , Arjun Rajesh , Mansi Manoj , Sandra Davis Kollannur , Sujitta R , Jerrin Thomas Panachakel

Electroencephalogram (EEG)-based Brain-Computer Interfaces (BCIs) have garnered significant interest across various domains, including rehabilitation and robotics. Despite advancements in neural network-based EEG decoding, maintaining…

Signal Processing · Electrical Eng. & Systems 2024-09-04 Sizhen Bian , Pixi Kang , Julian Moosmann , Mengxi Liu , Pietro Bonazzi , Roman Rosipal , Michele Magno

The Federal Interagency Traumatic Brain Injury Research (FITBIR) database is a centralized data repository for traumatic brain injury (TBI) research. It includes over 45,529 magnetic resonance images (MRI) from 6,211 subjects (9,229 imaging…

Mild traumatic brain injury (mTBI) is a complex syndrome that affects up to 600 per 100,000 individuals, with a particular concentration among military personnel. About half of all mTBI patients experience a diverse array of chronic…

Understanding the association between injury severity and patients' potential for recovery is crucial to providing better care for patients with traumatic brain injury (TBI). Estimation of this relationship requires clinical information on…

Methodology · Statistics 2020-05-19 Mingyang Shan , Kali Thomas , Roee Gutman

A Brain Computer Interface (BCI) connects the human brain to the outside world, providing a direct communication channel. Electroencephalography (EEG) signals are commonly used in BCIs to reflect cognitive patterns related to motor function…

Machine Learning · Computer Science 2025-11-19 Abdullah Al Shiam , Md. Khademul Islam Molla , Abu Saleh Musa Miah , Md. Abdus Samad Kamal

Traumatic brain injury (TBI) can cause cognitive, communication, and psychological challenges that profoundly limit independence in everyday life. Conversational Agents (CAs) can provide individuals with TBI with cognitive and communication…

Magnetic resonance imaging (MRI) is a crucial tool to identify brain abnormalities in a wide range of neurological disorders. In focal epilepsy MRI is used to identify structural cerebral abnormalities. For covert lesions, machine learning…

Timely diagnosis is important for saving the life of epileptic patients. In past few years, a lot of treatments are available for epilepsy. These treatments require use of anti-seizure drugs but are not effective in controlling frequency of…

Machine Learning · Computer Science 2021-11-08 Shivam Gupta , Jyoti Meena , O. P Gupta

Brain deformation caused by a head impact leads to traumatic brain injury (TBI). The maximum principal strain (MPS) was used to measure the extent of brain deformation and predict injury, and the recent evidence has indicated that…

Signal Processing · Electrical Eng. & Systems 2024-09-16 Xianghao Zhan , Zhou Zhou , Yuzhe Liu , Nicholas J. Cecchi , Marzieh Hajiahamemar , Michael M. Zeineh , Gerald A. Grant , David Camarillo

Epilepsy is one of the most common neurological disorders, typically observed via seizure episodes. Epileptic seizures are commonly monitored through electroencephalogram (EEG) recordings due to their routine and low expense collection. The…

Signal Processing · Electrical Eng. & Systems 2023-01-10 İlkay Yıldız Potter , George Zerveas , Carsten Eickhoff , Dominique Duncan

This article examined brain signals of people with disabilities using various signal processing methods to achieve the desired accuracy for utilizing brain-computer interfaces (BCI). EEG signals resulted from 5 mental tasks of word…

Human-Computer Interaction · Computer Science 2021-11-02 Fateme Dehrouye-Semnani , Nasrollah Moghada Charkari , Seyed Mohammad Mehdi Mirbagheri

An Electroencephalogram (EEG) is a non-invasive exam that records the brain's electrical activity. This is used to help diagnose conditions such as different brain problems. EEG signals are taken for epilepsy detection, and with Discrete…

Machine Learning · Computer Science 2024-05-28 Rabel Guharoy , Nanda Dulal Jana , Suparna Biswas , Lalit Garg

The trajectory of an individual's recovery after traumatic brain injury (TBI) is heterogeneous, with complete recovery in some cases but persistent disability in others. We hypothesized that changes in structural brain network abnormalities…

Routine oncologic computed tomography (CT) presents an ideal opportunity for screening spinal instability, yet prophylactic stabilization windows are frequently missed due to the complex geometric reasoning required by the Spinal…

Quantitative Methods · Quantitative Biology 2026-03-19 Zanting Ye , Xuanbin Wu , Guoqing Zhong , Shengyuan Liu , Jiashuai Liu , Ge Song , Zhisong Wang , Jing Hao , Xiaolong Niu , Yefeng Zheng , Yu Zhang , Lijun Lu

Electrophysiological observation plays a major role in epilepsy evaluation. However, human interpretation of brain signals is subjective and prone to misdiagnosis. Automating this process, especially seizure detection relying on scalp-based…

Machine Learning · Computer Science 2018-07-06 David Ahmedt-Aristizabal , Clinton Fookes , Kien Nguyen , Sridha Sridharan
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