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Signals, Volume 4, Issue 1

March 2023 - 14 articles

Cover Story: Despite recent advancements in machine learning techniques, such as convolutional neural networks (CNN), our review showed that the current models still cannot outperform traditional methods such as linear discriminant analysis (LDA) in the context of online electroencephalogram-based brain–computer interfaces (EEG-BCI) used for stroke patient rehabilitation. Furthermore, current BCI configurations exhibit similar classification accuracy between stroke patients and healthy individuals when used in a closed loop. Moreover, studies exploring neurofeedback modalities have reported superior performance in EEG-BCI using functional electrical stimulation (FES) combined with virtual reality (VR), compared to non-FES modalities. View this paper
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Articles (14)

  • Article
  • Open Access
6 Citations
2,783 Views
23 Pages

22 March 2023

Mobile networks of the fifth generation have stringent requirements for data throughput, latency and reliability. Dual or multi-connectivity is implemented to meet the mobility requirements for certain essential 5G use cases, and this ensures the use...

  • Article
  • Open Access
3 Citations
3,142 Views
16 Pages

14 March 2023

Multiclass motor imagery classification is essential for brain–computer interface systems such as prosthetic arms. The compressive sensing of EEG helps classify brain signals in real-time, which is necessary for a BCI system. However, compressi...

  • Review
  • Open Access
11 Citations
7,034 Views
27 Pages

A Survey on Optimal Channel Estimation Methods for RIS-Aided Communication Systems

  • Stamatia F. Drampalou,
  • Nikolaos I. Miridakis,
  • Helen C. Leligou and
  • Panagiotis A. Karkazis

9 March 2023

Next-generation wireless communications aim to utilize mmWave/subTHz bands. In this regime, signal propagation is vulnerable to interferences and path losses. To overcome this issue, a novel technology has been introduced, which is called reconfigura...

  • Article
  • Open Access
46 Citations
15,296 Views
13 Pages

21 February 2023

EEG (electroencephalogram) signals could be used reliably to extract critical information regarding ADHD (attention deficit hyperactivity disorder), a childhood neurodevelopmental disorder. The early detection of ADHD is important to lessen the devel...

  • Article
  • Open Access
11 Citations
2,976 Views
26 Pages

Multi-Task Classification of Physical Activity and Acute Psychological Stress for Advanced Diabetes Treatment

  • Mahmoud Abdel-Latif,
  • Mohammad Reza Askari,
  • Mudassir M. Rashid,
  • Minsun Park,
  • Lisa Sharp,
  • Laurie Quinn and
  • Ali Cinar

17 February 2023

Wearable sensor data can be integrated and interpreted to improve the treatment of chronic conditions, such as diabetes, by enabling adjustments in treatment decisions based on physical activity and psychological stress assessments. The challenges in...

  • Article
  • Open Access
12 Citations
3,533 Views
17 Pages

Hybrid Wavelet–CNN Fault Diagnosis Method for Ships’ Power Systems

  • Dimitrios Paraskevopoulos,
  • Christos Spandonidis and
  • Fotis Giannopoulos

8 February 2023

Three-phase induction motors (IMs) are considered an essential part of electromechanical systems. Despite the fact that IMs operate efficiently under harsh environments, there are many cases where they indicate deterioration. A crucial type of fault...

  • Article
  • Open Access
5 Citations
5,640 Views
13 Pages

7 February 2023

When a fault occurs on the transmission line, the relay should send the faulty signal to the circuit breaker to trip or isolate the line. Timely detection is integral to fault protection and the management of transmission lines in power systems. This...

  • Review
  • Open Access
38 Citations
10,146 Views
47 Pages

28 January 2023

In recent years, tremendous advances have been made in the design and applications of wireless networks and embedded sensors. The combination of sophisticated sensors with wireless communication has introduced new applications, which can simplify hum...

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Signals - ISSN 2624-6120