Results 91 to 100 of about 319,311 (316)

Imaging of epileptic activity using EEG-correlated functional MRI.

, 2005
This thesis describes the method of EEG-correlated fMRI and its application to patients with epilepsy. First, an introduction on MRI and functional imaging methods in the field of epilepsy is provided.
Krakow, K.
core  

Multichannel EEG : towards applications in clinical neurology. [PDF]

, 2008
Electroencephalogram (EEG) measures the electric activity produced by the brain with electrodes placed on the scalp. It is used for monitoring or as diagnostic tool for neurological disorders. In practice a maximum of 21 electrodes are generally used for
Wassenberg, Wilhelmina Johanna Gerarda van de, Wassenberg, Wilhelmina Johanna Gerarda van de,   +1 more
core  

Microsphere‐Templated Conductive Syntactic Foams for Recyclable and Additively Manufactured Soft Electronics

Advanced Healthcare Materials, EarlyView.
This work introduces a microsphere‐templated strategy to fabricate reprocessable PEDOT:PSS syntactic foams with tunable porosity, stable conductivity, and 3D printability. In situ PEDOT:PSS coatings create a conductive network that maintains electrical performance at high void fractions.
Gayaneh Petrossian, Yassine Diouri, Bolan Xu, Sara Ebrahimi, Atharva Pande, Floriane Miquet‐Westphal, Hang Xu, Fabio Cicoira   +7 more
wiley   +1 more source

Substitution potential of surplus electricity-based e-methane production for LNG: The case of Kyushu and Hokkaido in Japan

Energy Conversion and Management: X
This paper investigates domestic e-methane production by utilizing surplus electricity in Japan as a complementary strategy to imports. Kyushu and Hokkaido are selected as case study regions due to the challenges of decarbonization and increasing ...
Frank K. Radosits, Benjamin C. McLellan, Sebastian Zwickl-Bernhard, Amela Ajanovic, Hans Auer   +4 more
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Multi-channel Sonification of Human EEG

, 2007
Baier G, Hermann T, Stephani U. Multi-channel Sonification of Human EEG. In: Martens WL, ed. Proceedings of the 13th International Conference on Auditory Display.
Baier, Gerold, Stephani, Ulrich, Hermann, Thomas ; https://orcid.org/, Martens, William L.   +3 more
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Upcycling Compact Discs Into Ultra‐Stable, Flexible, and Stretchable Nanoporous Gold Electrodes for Enhanced Biosensing Performance

Advanced Materials Technologies, EarlyView.
This article highlights the development of robust and high‐performance flexible and stretchable biosensors that maintain long‐term functionality and optimal electrical conductivity under mechanical deformation, utilizing sustainable and cost‐effective manufacturing principles.
Mousa H. Aldosari, Ahyeon Koh
wiley   +1 more source

Combined EEG-fMRI and tractography to visualise propagation of epileptic activity

, 2008
In a patient with refractory temporal lobe epilepsy, EEG-fMRI showed activation in association with left anterior temporal interictal discharges, in the left temporal, parietal and occipital lobes. Dynamic causal modelling suggested propagation of neural
Lemieux, L., Hamandi, Khalid, Powell, H W R, Barker, G J, Parker, G J M, Laufs, H, Hamandi, K, Barker, G J; id_orcid, Powell, H.W.R., Robert Powell, Duncan, J S, Parker, G.J.M., Duncan, J.S., Hamandi, K., Laufs, H., Symms, M.R., Symms, M R, Lemieux, L, Barker, G.J.   +18 more
core   +1 more source

AADNet: An End-to-End Deep Learning Model for Auditory Attention Decoding

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Auditory attention decoding (AAD) is the process of identifying the attended speech in a multi-talker environment using brain signals, typically recorded through electroencephalography (EEG). Over the past decade, AAD has undergone continuous development,
Nhan Duc Thanh Nguyen, Huy Phan, Simon Geirnaert, Kaare Mikkelsen, Preben Kidmose   +4 more
doaj   +1 more source

Muscle Control of an Extra Robotic Digit

Advanced Robotics Research, EarlyView.
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ, Lucy Dowdall, Francesco Cenciarelli, Kitty Goodridge, Mabel Ziman, Hristo Dimitrov, Danielle Clode, Tamar R. Makin   +7 more
wiley   +1 more source