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Related papers: Transcranial electrical stimulation: An introducti…

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This paper discusses the use of the scalp electric field to decode EEG-recorded brain processes. Instead of using bipolar measurements, the scalp electric field is described as a 3-vector field whose orthogonal components are obtained from…

Neurons and Cognition · Quantitative Biology 2013-07-11 C. G. Carvalhaes , J. Acacio de Barros , M. Perreau-Guimarães , P. Suppes

This study presents the first observation of shear wave induced remotely within soft tissues. It was performed through the combination of a transcranial magnetic stimulation device and a permanent magnet. A physical model based on Maxwell…

Medical Physics · Physics 2016-05-11 Pol Grasland-Mongrain , Erika Miller-Jolicoeur , An Tang , Stefan Catheline , Guy Cloutier

Several changes occur in the brain in response to voluntary and involuntary activities performed by a person. The ability to retrieve data from the brain within a time space provides a basis for in-depth analyses that offer insight on what…

Human-Computer Interaction · Computer Science 2020-06-30 Daniel Omeiza , Kayode Sakariyah Adewole , Daniel Nkemelu

Transcranial photobiomodulation (tPBM) therapy is an emerging, non-invasive neuromodulation technique that has demonstrated considerable potential in the field of neuropsychiatric disorders. Several studies have found that pulsed wave (PW)…

Neurons and Cognition · Quantitative Biology 2025-12-02 Jiangshan He , Hui Xie , Yuqiang Yang , Chunli Jia , Dan Liang , Lianghua Zhang , Xiaoyu Wang , Tianyi Luo , Zexiao Dong , Huiting Yang , Zhen Yuan , Mingzhe Jiang , Xueli Chen

Advances in neuroscience and artificial intelligence have enabled preliminary decoding of brain activity. However, despite the progress, the interpretability of neural representations remains limited. A significant challenge arises from the…

Computer Vision and Pattern Recognition · Computer Science 2025-12-23 Hasib Aslam , Muhammad Talal Faiz , Muhammad Imran Malik

The aim of this paper is to design and construct an electroencephalograph (EEG) based brain-controlled wheelchair to provide a communication bridge from the nervous system to the external technical device for people of determination or…

Human-Computer Interaction · Computer Science 2020-01-20 Mariam AlAbboudi , Maitha Majed , Fatima Hassan , Ali Bou Nassif

A brain-computer interface (BCI) enables a user to communicate with a computer directly using brain signals. The most common non-invasive BCI modality, electroencephalogram (EEG), is sensitive to noise/artifact and suffers…

Human-Computer Interaction · Computer Science 2022-11-15 Dongrui Wu , Yifan Xu , Bao-Liang Lu

Brain stimulation is a powerful tool for understanding cortical function and holds promise for therapeutic interventions in neuropsychiatric disorders. Initial visual prosthetics apply electric microstimulation to early visual cortex which…

Neurons and Cognition · Quantitative Biology 2025-10-07 Johannes Mehrer , Ben Lonnqvist , Anna Mitola , Abdulkadir Gokce , Paolo Papale , Martin Schrimpf

Electron transfer (ET) reactions underpin energy conversion and chemical transformations in both biological and abiological systems. The efficiency of any ET process relies on achieving a desired ET rate within an optimal driving force…

In this paper, a simple theoretical model of excitation of action potentials of multiple motor pools by stimulating current pulses over the lumbosacral regions of the spinal cord is presented. The present model is consistent with known…

Medical Physics · Physics 2022-06-24 Mikhail N. Shneider , Mikhail Pekker

Objective: The strengths of Electrical Impedance Tomography (EIT) are its capability of imaging the internal body by using a noninvasive, radiation safe technique, and the absence of known hazards. In this paper we introduce a novel idea of…

Signal Processing · Electrical Eng. & Systems 2022-03-08 Sebastien Martin

This thesis delves into the world of non-invasive electrophysiological brain signals like electroencephalography (EEG) and magnetoencephalography (MEG), focusing on modelling and decoding such data. The research aims to investigate what…

Signal Processing · Electrical Eng. & Systems 2025-10-30 Richard Csaky

Reaching disabilities affect the quality of life. Functional Electrical Stimulation (FES) can restore lost motor functions. Yet, there remain challenges in controlling FES to induce desired movements. Neuromechanical models are valuable…

Systems and Control · Electrical Eng. & Systems 2023-03-20 Nat Wannawas , A. Aldo Faisal

Magnetoencephalography (MEG) enables the study of brain activity by recording the magnetic fields generated by neural currents and has become an important technique for neuroscientists in research and clinical settings. Unlike the…

Finite Element Modeling (FEM) has been widely used to model the electric field distribution, to study the interaction between stimulation electrodes and neural tissue. However, due to the insufficient computational capability to represent…

Neurons and Cognition · Quantitative Biology 2019-08-22 Jiahui Wang , Hao Wanga , Xin Yuan Thow , Nitish V. Thakor

The visual substitution paradigm aims to facilitate the life of blind people. Generally one uses electro-stimulating devices where electrodes are arranged into arrays to stimulate the skin or the tongue mucosa to send signals of visual type…

Medical Physics · Physics 2013-10-17 Abdessalem Chekhchoukh , Nicolas Vuillerme , Yohan Payan , Nicolas Glade

Low-intensity focused transcranial ultrasonic stimulation (TUS) offers unique depth and precision in non-invasive brain stimulation. Effective administration of TUS, however, requires precise placement of transducers to ensure selective…

Biological Physics · Physics 2025-07-01 Maximilian Lueckel , Suhas Vijayakumar , Til Ole Bergmann

The presented study explores the extent to which tactile-force stimulus delivered to a hand holding a joystick can serve as a platform for a brain computer interface (BCI). The four pressure directions are used to evoke tactile brain…

Neurons and Cognition · Quantitative Biology 2013-12-17 Shota Kono , Daiki Aminaka , Shoji Makino , Tomasz M. Rutkowski

In recent years, emotional Text-to-Speech (TTS) synthesis and emphasis-controllable speech synthesis have advanced significantly. However, their interaction remains underexplored. We propose Emphasis Meets Emotion TTS (EME-TTS), a novel…

Sound · Computer Science 2025-07-17 Haoxun Li , Leyuan Qu , Jiaxi Hu , Taihao Li

The integration of brain-computer interfaces (BCIs) into the realm of smart wheelchair (SW) technology signifies a notable leap forward in enhancing the mobility and autonomy of individuals with physical disabilities. BCIs are a technology…

Human-Computer Interaction · Computer Science 2024-04-30 Shiva Ghasemi , Denis Gracanin , Mohammad Azab