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We introduce the innovative technologies, based on the concept of "sensory substitution", we are developing in the fields of biomedical engineering and human disability. Precisely, our goal is to design, develop and validate practical…

Electroencephalography (EEG) is one of the most common signals used to capture the electrical activity of the brain, and the decoding of EEG, to acquire the user intents, has been at the forefront of brain-computer/machine interfaces…

Machine Learning · Computer Science 2025-07-04 Haodong Zhang , Hongqi Li

This study focuses on Multi-Channel Transcranial Electrical Stimulation, a non-invasive brain method for stimulating neuronal activity under the influence of low-intensity currents. We introduce mathematical formulation for finding a…

Optimization and Control · Mathematics 2022-06-06 Fernando Galaz Prieto , Atena Rezaei , Maryam Samavaki , Sampsa Pursiainen

Herein we report the first in-human transcranial imaging of brain function using photoacoustic computed tomography. Functional responses to benchmark motor tasks were imaged on both the skull-less and the skull-intact hemispheres of a…

The "mind-controlling" capability has always been in mankind's fantasy. With the recent advancements of electroencephalograph (EEG) techniques, brain-computer interface (BCI) researchers have explored various solutions to allow individuals…

Human-Computer Interaction · Computer Science 2021-04-15 Di Wu , Huayan Wan , Siping Liu , Weiren Yu , Zhanpeng Jin , Dakuo Wang

The reconstruction of brain neural network connections occurs not only during the infancy and early childhood stages of brain development, but also in patients with cognitive impairment in middle and old age under the therapy with…

Neurons and Cognition · Quantitative Biology 2024-03-12 Xuan Zhang , Duoyu Feng , Djibrina Barry , Jiajia Li

In this paper we propose a new pre-processing technique of Electroencephalography (EEG) signals produced by motor imagery movements. This technique results to an accelerated determination of the imagery movement and the command to carry it…

Medical Physics · Physics 2018-05-11 Kalogiannis Gregory , Kapsimanis George , Hassapis George

Surface electromyography (sEMG) is a technology to assess muscle activation, which is an important component in applications related to diagnosis, treatment, progression assessment, and rehabilitation of specific individuals' conditions.…

Epilepsy is a neurological illness that is characterised by continuous spasms of shaking, sometimes known as convulsions. Although there are effective treatments for epilepsy, such as drugs and surgery, there is still a group of individuals…

Artificial Intelligence · Computer Science 2023-05-01 Ishan Shivansh Bangroo , Samia Tahzeen

Transition Edge Sensors (TESs) are amongst the most sensitive cryogenic detectors and can be easily optimized for the detection of massive particles or photons ranging from X-rays all the way down to millimetre radiation. Furthermore, TESs…

Instrumentation and Detectors · Physics 2024-11-05 Mario De Lucia , Paolo Dal Bo , Eugenia Di Giorgi , Tommaso Lari , Claudio Puglia , Federico Paolucci

Electrical brain stimulation relies on externally applied currents to modulate neural activity, but safety constraints require each stimulation cycle to be charge-balanced, enforcing a zero net injected charge. However, how such…

Systems and Control · Electrical Eng. & Systems 2025-12-09 Yuzhen Qin , Zonglin Liu , Marcel van Gerven

Tip enhanced Raman scattering (TERS) amplifies the intensity of vibrational Raman scattering by employing the tip of a probe interacting, in ultra close proximity, with a surface. Although a general understanding of the TERS process is…

Recent radio frequency scanning tunneling spectroscopy (rf-STS) experiments have demonstrated nuclear and electron spin excitations up to $\pm12\hbar$ in a single molecular spin quantum dot (qudot). Despite the profound experimental…

Transition-edge sensors (TESs) have the potential to perform electron spectroscopic measurements with far greater measurement rates and efficiencies than can be achieved using existing electron spectrometers. Existing spectrometers filter…

Instrumentation and Detectors · Physics 2024-03-05 K. M. Patel , S. Withington , A. G . Shard , D. J. Goldie , C. N. Thomas

The ability to modulate brain states using targeted stimulation is increasingly being employed to treat neurological disorders and to enhance human performance. Despite the growing interest in brain stimulation as a form of neuromodulation,…

Neurons and Cognition · Quantitative Biology 2016-01-07 Sarah Feldt Muldoon , Fabio Pasqualetti , Shi Gu , Matthew Cieslak , Scott T. Grafton , Jean M. Vettel , Danielle S. Bassett

This work proposes improvements in the electroencephalogram (EEG) recording protocols for motor imagery through the introduction of actual motor movement and/or somatosensory cues. The results obtained demonstrate the advantage of requiring…

Neurons and Cognition · Quantitative Biology 2020-03-24 Jerrin Thomas Panachakel , Nandagopal Netrakanti Vinayak , Maanvi Nunna , A. G. Ramakrishnan , Kanishka Sharma

This paper proposes that the thalamus is the site of a wave excitation, whose function is to represent the locations of things around the animal. Neurons couple to the wave as transmitters and receivers. The wave acts as an analogue…

Neurons and Cognition · Quantitative Biology 2020-06-08 R. P. Worden

Large arrays of superconducting transition-edge sensor (TES) microcalorimeters are becoming the key technology for future space-based X-ray observatories and ground-based experiments in the fields of astrophysics, laboratory astrophysics,…

Instrumentation and Methods for Astrophysics · Physics 2023-04-05 Luciano Gottardi , Stephen Smith

The study presented explores the extent to which tactile stimuli delivered to the ten digits of a BCI-naive subject can serve as a platform for a brain computer interface (BCI) that could be used in an interactive application such as…

Neurons and Cognition · Quantitative Biology 2013-05-21 Hiromu Mori , Yoshihiro Matsumoto , Victor Kryssanov , Eric Cooper , Hitoshi Ogawa , Shoji Makino , Zbigniew R. Struzik , Tomasz M. Rutkowski

Functional Electrical Stimulation (FES) systems are successful in restoring motor function and supporting paralyzed users. Commercially available FES products are open loop, meaning that the system is unable to adapt to changing conditions…

Robotics · Computer Science 2018-07-31 Billy Woods , Mahendran Subramanian , Ali Shafti , A. Aldo Faisal