Zobrazeno 1 - 10
of 358
pro vyhledávání: '"Andreas, Demosthenous"'
Autor:
Fangqi Liu, Maryam Habibollahi, Yu Wu, Nazanin Neshatvar, Jiaxing Zhang, Ciro Zinno, Outman Akouissi, Fabio Bernini, Lisa Alibrandi, Khatia Gabisonia, Vincenzo Lionetti, Jacopo Carpaneto, Henry Lancashire, Dai Jiang, Silvestro Micera, Andreas Demosthenous
Publikováno v:
Bioelectronic Medicine, Vol 10, Iss 1, Pp 1-13 (2024)
Abstract Background Implantable vagus nerve stimulation is a promising approach for restoring autonomic cardiovascular functions after heart transplantation. For successful treatment a system should have multiple electrodes to deliver precise stimula
Externí odkaz:
https://doaj.org/article/2f82aac0879c4ce1b67d37d007c949b3
Autor:
Zhuo Zhi, Moe Elbadawi, Adam Daneshmend, Mine Orlu, Abdul Basit, Andreas Demosthenous, Miguel Rodrigues
Publikováno v:
IEEE Access, Vol 12, Pp 144837-144854 (2024)
Predicting a patient’s hemoglobin level or degree of anemia using Electronic Health Records (EHRs) is a non-invasive and rapid approach. However, it presents challenges due to the irregular multivariate time series nature of EHRs, which often conta
Externí odkaz:
https://doaj.org/article/8f95ccac07a04cdf867b9d7a4243c013
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 5, Pp 141-152 (2024)
This paper describes a supervised speech enhancement (SE) method utilising a noise-aware four-layer deep neural network and training target switching. For optimal speech denoising, the SE system, trained with multiple-target joint learning, switches
Externí odkaz:
https://doaj.org/article/629751578c634b40b182822b3723c2a9
Publikováno v:
eLife, Vol 12 (2024)
Breakdown of neuromuscular junctions (NMJs) is an early pathological hallmark of amyotrophic lateral sclerosis (ALS) that blocks neuromuscular transmission, leading to muscle weakness, paralysis and, ultimately, premature death. Currently, no therapi
Externí odkaz:
https://doaj.org/article/29a9cafbb2124195b8d4694cfb95baf1
Autor:
Majid Zamani, Andreas Demosthenous
Publikováno v:
IEEE Access, Vol 11, Pp 120593-120602 (2023)
Although much research has been conducted in the field of automated cochlear implant navigation, the problem remains challenging. Deep learning techniques have recently achieved impressive results in a variety of computer vision problems, raising exp
Externí odkaz:
https://doaj.org/article/3455a12316864de0a16a31ddd2118c52
Autor:
Jaswinder Lota, Andreas Demosthenous
Publikováno v:
IEEE Access, Vol 11, Pp 37944-37957 (2023)
Ultra-high-speed data communication receivers (Rxs) conventionally require analog digital converters (ADCs) with high sampling rates which have design challenges in terms of adequate resolution and power. This leads to ultra-high-speed Rxs utilising
Externí odkaz:
https://doaj.org/article/13288f12bf1345ac9292321cccaf8ec5
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 4, Pp 3-14 (2023)
Battery-less active implantable devices are of interest because they offer longer life span and eliminate costly battery replacement surgical interventions. This is possible as a result of advances in inductive power transfer and development of power
Externí odkaz:
https://doaj.org/article/a458e6bd9c604ed7b682adf2cfd6ee7c
Publikováno v:
IEEE Access, Vol 11, Pp 15131-15143 (2023)
In order to implement highly efficient brain-machine interface (BMI) systems, high-channel count sensing is often used to record extracellular action potentials. However, the extracellular recordings are typically severely contaminated by artefacts a
Externí odkaz:
https://doaj.org/article/69b5ce543fbe4c65b9a99504452e5104
Autor:
Nima Seifnaraghi, Serena de Gelidi, Inéz Frerichs, Merja Kallio, Erich Sorantin, Andrew Tizzard, Andreas Demosthenous, Richard H. Bayford
Publikováno v:
BMC Research Notes, Vol 15, Iss 1, Pp 1-5 (2022)
Abstract Objective This study investigates the development of the thoracic cross-section at the nipple line level during the early stages of life. Unlike the descriptive awareness regarding chest development course, there exist no quantitative refere
Externí odkaz:
https://doaj.org/article/20516fee0d5d44c19fe19cd967c079da
Publikováno v:
IEEE Access, Vol 10, Pp 130657-130671 (2022)
Speech enhancement (SE) is used in many applications, such as hearing devices, to improve speech intelligibility and quality. Convolutional neural network-based (CNN-based) SE algorithms in literature often employ generic convolutional filters that a
Externí odkaz:
https://doaj.org/article/f896bb4897bb46d68283e3eb5b9ec604