Most popular signal processing methods in motor-imagery BCI: a review and meta-analysis

P Wierzgała, D Zapała, GM Wojcik… - Frontiers in …, 2018 - frontiersin.org
Brain-Computer Interfaces (BCI) constitute an alternative channel of communication
between humans and environment. There are a number of different technologies which …

Fourier transform infrared spectroscopy (FTIR) as a tool for the identification and differentiation of pathogenic bacteria

P Zarnowiec, L Lechowicz… - Current medicinal …, 2015 - ingentaconnect.com
Methods of human bacterial pathogen identification need to be fast, reliable, inexpensive,
and time efficient. These requirements may be met by vibrational spectroscopic techniques …

ResNet‐Attention model for human authentication using ECG signals

M Hammad, P Pławiak, K Wang, UR Acharya - Expert Systems, 2021 - Wiley Online Library
Authentication is the process of verifying the claimed identity of the user. Recently, traditional
authentication methods such as passwords, tokens, and so on are no longer used for …

[HTML][HTML] Comparison of various approaches to combine logistic regression with genetic algorithms in survival prediction of hepatocellular carcinoma

W Książek, M Gandor, P Pławiak - Computers in Biology and Medicine, 2021 - Elsevier
Hepatocellular carcinoma (HCC) is the most common liver cancer in adults. Many different
factors make it difficult to diagnose in humans.. In this paper, a novel diagnostics approach …

Epilepsy attacks recognition based on 1D octal pattern, wavelet transform and EEG signals

T Tuncer, S Dogan, GR Naik, P Pławiak - Multimedia Tools and …, 2021 - Springer
Electroencephalogram (EEG) signals have been generally utilized for diagnostic systems.
Nowadays artificial intelligence-based systems have been proposed to classify EEG signals …

[HTML][HTML] A novel method for tissue segmentation in high-resolution H&E-stained histopathological whole-slide images

P Kleczek, J Jaworek-Korjakowska… - … Medical Imaging and …, 2020 - Elsevier
Tissue segmentation in whole-slide images is an important task in digital pathology,
required for efficient and accurate computer-aided diagnostics. Precise tissue segmentation …

[HTML][HTML] Artificial Intelligence in Audiology: A Scoping Review of Current Applications and Future Directions

A Frosolini, L Franz, V Caragli, E Genovese… - Sensors, 2024 - mdpi.com
The integration of artificial intelligence (AI) into medical disciplines is rapidly transforming
healthcare delivery, with audiology being no exception. By synthesizing the existing …

Diagnosis, treatment, and management of otitis media with artificial intelligence

X Ding, Y Huang, X Tian, Y Zhao, G Feng, Z Gao - Diagnostics, 2023 - mdpi.com
A common infectious disease, otitis media (OM) has a low rate of early diagnosis, which
significantly increases the difficulty of treating the disease and the likelihood of serious …

Ethylbenzene dehydrogenase and related molybdenum enzymes involved in oxygen-independent alkyl chain hydroxylation

J Heider, M Szaleniec, K Suenwoldt… - Journal of Molecular …, 2016 - karger.com
Ethylbenzene dehydrogenase initiates the anaerobic bacterial degradation of ethylbenzene
and propylbenzene. Although the enzyme is currently only known from a few closely related …

New protocol for quantitative analysis of brain cortex electroencephalographic activity in patients with psychiatric disorders

GM Wojcik, J Masiak, A Kawiak, P Schneider… - Frontiers in …, 2018 - frontiersin.org
The interview is still the main and most important tool in psychiatrist's work. The
neuroimaging methods such as CT or MRI are widely used in other fields of medicine, for …