Roman Mouček

• University of West Bohemia

Sleep apnea (SA) is a prevalent disorder that disrupts breathing during sleep, posing risks to multiple organs and potentially causing sudden death. The electrocardiogram (ECG) is vital for diagnosing SA due to its ability to identify irregular heart activity. This study introduces hybrid CNN models designed to automatically detect SA using a singl...

The brain-computer interface (BCI) is an emerging technology that enables people with physical disabilities to control and interact with devices only by using their minds and without being dependent on healthy people. One of the most popular BCI paradigms, motor imagery (MI) based on electroencephalograms (EEGs), is applied in healthcare, including...

Sleep constitutes an essential aspect of human existence, with the average individual dedicating approximately one-third of their life to this physiological activity. Consequently, comprehending and accurately analyzing sleep patterns is of paramount importance. This research aims to introduce, formulate, execute, and assess diverse machine/deep le...

The brain-computer interface (BCI) is a promising technology that could bring about a significant revolution in various fields, including healthcare and human enhancement. One commonly used BCI method in healthcare, particularly in rehabilitation, is the analysis of motor imagery (MI) through an electroencephalogram (EEG). Our study introduces a hy...

The present study investigated the adsorption of eosin B on the surface of powdered and chemically treated orange peels, along with this process’s condition optimizations, kinetics, and thermodynamics. The adsorbent dose (0.1–0.5 g), temperature (298, 303, 308, and 313 K), contact time (15–120 min), initial pH value (2–11) of the solution, and inte...

Injuries of the lower limb, particularly the knee, usually require several months of rehabilitation. Exoskeletons are great tools supporting the rehabilitation process; their research and suitable practical use are at the center of interest of researchers and physiotherapists. This paper focuses on designing a brain-computer-interface (BCI)-control...

Sleep stage classification plays a crucial role in diagnosing sleep disorders and understanding sleep physiology. In recent years, automated models based on machine learning and deep learning have gained attention for sleep stage classification. This paper uses the single-channel EEG signal to present an automatic sleep stage classification system...

Event-related potential signal classification is a really difficult challenge due to the low signal-to-noise ratio. Deep neural networks (DNN), which have been employed in different machine learning areas, are suitable for this type of classification. UNet (a convolutional neural network) is a classification algorithm proposed to improve the classi...

Brain-computer interface (BCI) applications implement a direct communication path between the brain and the computer. This paper deals with the fundamentals of BCI systems and the experience of the neuroinformatics team with the design and implementation of various BCI applications. Their advantages, drawbacks and suitability are discussed in multi...

The attention of drivers is a serious issue and one of the critical factors of road safety. The question is whether the electrical activity of the human brain can be correctly measured/collected and utilized to monitor and interpret the driver's attention during simulated driving. This article summarizes four experiments that have been designed, pe...

Poor lifestyle leads potentially to chronic diseases and low-grade physical and mental fitness. However, ahead of time, we can measure and analyze multiple aspects of physical and mental health, such as body parameters, health risk factors, degrees of motivation, and the overall willingness to change the current lifestyle. In conjunction with data...

The current model of neurorehabilitation provides comprehensive care (neurologist, physiotherapist, occupational therapist, psychologist, speech therapist) in the acute phase of acquired brain injuries during hospitalization in some countries. However, follow-up care is insufficient or completely absent, especially for disadvantaged people. Increas...

A Correction to this paper has been published: https://doi.org/10.1007/s12021-021-09522-x

There is great need for coordination around standards and best practices in neuroscience to support efforts to make neuroscience a data-centric discipline. Major brain initiatives launched around the world are poised to generate huge stores of neuroscience data. At the same time, neuroscience, like many domains in biomedicine, is confronting the is...

Background: Independent and open brain-computer interfaces (BCIs) working outside the laboratory environment are still rare. Their most limiting factors include low classification accuracy, information transfer bit-rate, low variability of used approaches, and closeness of the hardware and software components of the system. The presented BASIL proj...

Affordable brain-computer interfaces (BCIs) working outside the laboratory environment are still rare. Their most limiting factors include low classification accuracy, information transfer bit rate, low variability of used approaches, and closeness of the hardware and software components of the system. The presented BASIL project has focused on des...

They are many risk factors decreasing overall human physical and cognitive performance and increasing incidence of chronic diseases. It is very beneficial for any society to map, discuss and cope with these factors. This can be supported and evaluated by designing, developing, testing and using suitable self-management health systems. One of these...

This book constitutes the thoroughly refereed post-conference proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019, held in Prague, Czech Republic, in February 2019. The 22 revised and extended full papers presented were carefully reviewed and selected from a total of 271 submission...

The choice of a suitable preprocessing method for single-trial event-related potential (ERP) data has fundamental importance because it may improve the efficiency of a brain-computer interface (BCI) system. However, the selection of an appropriate method can be challenging and may depend on the type of data as well. In order to elaborate on this po...

Abnormal functional connectivity (FC) has been commonly observed during alcohol use disorder (AUD). In this work, FC analysis has been performed by incorporating EEG-based graph-theoretic analysis and a machine learning (ML) framework. Brain FC was quantified with synchronization likelihood (SL). Undirected graphs for each channel pair were constru...

The Brain-Driven Computer Assistance System for People with Limited Mobility (BASIL) project aims to provide disabled patients with a mean for basic independent communication (i.e. a simple BCI). Besides laboratory testing, it is also important to test related hardware and software in the hospital on the target group of patients. Although the exper...

The main aim of the INTERREG V A 85 Brainwave driven digital assistance system for motor-impaired people (BASIL) is to provide paralyzed people with means of communication by processing and classifying their EEG brain patterns (i.e. BCI). Although we have achieved a promising performance of deep learning over traditional methods on relatively small...

The Brain-Driven Computer Assistance System for People with Limited Mobility (BASIL) project aims to provide disabled patients with a mean for basic independent communication (i.e. a simple BCI). Besides laboratory testing, it is also important to test related hardware and software in the hospital on the target group of patients. Although the exper...

There is great need for coordination around standards and best practices in neuroscience to support efforts to make neuroscience a data-centric discipline. Major brain initiatives launched around the world are poised to generate huge stores of neuroscience data. At the same time, neuroscience, like many domains in biomedicine, is confronting the is...

Introduction Navigated transcranial magnetic stimulation (nTMS) is non invasive method to map the motor cortex including primary motor cortex (PrG - precentral gyrus) and premotor areas (PMa). This study aimed to investigate whether tumorous brain lesion induce a change in motor cortex localization or organisation investigated by nTMS. Methods We...

Smoking, excessive drinking, overeating and physical inactivity are well-established risk factors decreasing human physical performance. Moreover, epidemiological work has identified modifiable lifestyle factors, such as poor diet and physical and cognitive inactivity that are associated with the risk of reduced cognitive performance. Definition, c...

Smoking, excessive drinking, overeating and physical inactivity are well-established risk factors decreasing human physical performance and increasing incidence of chronic diseases. Moreover, epidemiological work has identified modifiable lifestyle factors, such as poor diet, physical and cognitive inactivity that are associated with the risk of re...

Smoking, excessive drinking, overeating and physical inactivity are well-established risk factors decreasing human physical performance and increasing incidence of chronic diseases. Moreover, epidemiological work has identified modifiable lifestyle factors, such as poor diet, physical and cognitive inactivity that are associated with the risk of re...

Automated detection of human stress from markers is very beneficial for the development of assistive technologies. Blood pressure, skin temperature, galvanic skin response or heart rate are typical physiological markers that help identify human stress. However, not only the human body itself but also the human mood expressed in short text messages...

All content in this shaded area is available via http://creativecommons.org/licenses/by/4.0 The data were stored in BrainVision Format. The following stimuli were used: -> T — Target stimulus -> N — Non-Target stimulus -> D — Distractor stimulus The following files were stored: Data files: -> LED_DD_MM_YYYY_EXP-ID.eeg - a binary file containing...

The stimulation protocol of the experiment (type: ignored protocol) has been used in research of structure and diagnosis of developmental coordination disorders in children at preschool and primary school age. It is based on sound stimulation and written in the programming language of the Presentation software. Enclosed anonymized experimental data...

All content in this shaded area is available via http://creativecommons.org/licenses/by/4.0. The data were stored in BrainVision Format. The following stimuli were used: -> T — Target stimulus -> N — Non-Target stimulus -> D — Distractor stimulus The following files were stored: Data files: -> LED_DD_MM_YYYY_EXP-ID.eeg - a binary file containin...

Sentiment extraction and analysis using spoken utterances or written corpora as well as collection and analysis of human heart rate data using sensors are commonly used techniques and methods. On the other hand, these have been not combined yet. The collected data can be used e.g. to investigate the mutual dependence of human physical and emotional...

Deep learning has emerged as a new branch of machine learning in recent years. Some of the related algorithms have been reported to beat state-of-the-art approaches in many applications. The main aim of this paper is to verify one of the deep learning algorithms, specifically a stacked autoencoder, to detect the P300 component. This component, as a...

Purpose The purpose of this study is to investigate the feasibility of applying openEHR (an archetype-based approach for electronic health records representation) to modeling data stored in EEGBase, a portal for experimental electroencephalography/event-related potential (EEG/ERP) data management. The study evaluates re-usage of existing openEHR ar...

Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while they are observing event-related potential waveforms on-line. 250 school-age chil...

Background: Developmental coordination disorder (DCD) is described as a motor skill disorder characterized by a marked impairment in the development of motor coordination abilities that significantly interferes with performance of daily activities and/or academic achievement. Since some electrophysiological studies suggest differences between child...

Attention of drivers is very important for road safety and it is worth observing even in laboratory conditions during a simulated drive. This paper deals with design of an experiment investigating driver’s attention, validation of collected data, and first preprocessing and processing steps used within data analysis. Brain activity is considered as...

Unwillingness of many people to assume responsibilities for a personal health, fitness and wellness seems to be widespread. This can be partially remedied by individualized exercise and wellness program that integrates the basic knowledge domains: lifestyle, sports and fitness, and nutrition and personal/environmental health. However, collection, m...

Unwillingness of many people to assume responsibilities for a personal health, fitness and wellness seems to be widespread. This can be partially remedied by individualized exercise and wellness program that integrates the basic knowledge domains: lifestyle, sports and fitness, and nutrition and personal/environmental health. However, collection, m...

The purpose of this document is to specify the basic data types required for storing electrophysiology and optical imaging data to facilitate computer-based neuroscience studies and data sharing. These requirements are being developed within a working group of the Electrophysiology Task Force in the International Neuroinformatics Coordinating Facil...

The Internet of Things world brings to our lives many opportunities to monitor our daily activities by collecting data from various devices. Complementary to it, the data expressing opinions, suggestions, interpretations, contradictions, and uncertainties are more accessible within a variety of online resources. This paper deals with collection and...

There are a lot of sensors for monitoring human health and/or fitness level on the market. They facilitate collection of data from the human body and advanced devices even facilitate data transfer to remote servers where the collected data are further processed. While health data, obtained e.g. from accelerometers or chest straps, are collected rat...

Although research into brain-computer interfaces is more common in recent years, studies concerning large groups of specific subjects are still lacking. This paper describes a simple brain-computer interface (BCI) experiment that was performed on a group of over 200 school-age children using the technique and methods of event related potentials. In...

The goal of brain-computer interface (BCI) is to provide communication and control pathways to people with severe motor disabilities. Noninvasive brain-computer interfaces focus primarily on electroencephalography (EEG) and event-related potential (ERP) based methods. It means that they use scalp-recorded electrical activity of the human brain to c...

Despite standardization efforts there is still no widely used standard format for storing electrophysiological data. This standard is necessary for effective collaboration between scientists. This work deals with adjustments of existing general data/metadata model for electrophysiological experiments and proposal/implementation of HDF data format f...

Sharing of electrophysiology data, related metadata, processing methods and workflows is one of the crucial tasks in neuroinformatics. International Neuroinformatics Coordinating Facility (INCF) develops and maintains computational infrastructure for neuroscientists and INCF Programs address infrastructural issues of high importance to the neurosci...

The article deals with and discusses two main approaches in building semantic structures for electrophysiological metadata. It is the use of conventional data structures, repositories, and programming languages on one hand and the use of formal representations of ontologies, known from knowledge representation, such as description logics or semanti...

Acknowledgements Grewe, J., T. Wachtler, and J. Benda. "odML format and terminologies for automated handling of (meta) data." Front. Neurosci. Conference Abstract: Neuroinformatics. Vol. 2010. 2010. Jezek, Petr, and Roman Moucek. "Semantic web in eeg/erp portal: ontology development and nif registration." Biomedical Engineering and Informatics (BM...

Acknowledgements Mouček R, Ježek P, Vařeka L, Řondík T, Brůha P, Papež V, Mautner P, Novotný J, Prokop T and Štěbeták J (2014) Software and hardware infrastructure for research in electrophysiology. Front. Neuroinform. 8:20. doi: 10.3389/fninf.2014.00020 Le Franc Y, Bandrowski A, Brůha P, Papež V, Grewe J, Mouček R, Tripathy SJ and Wachtler T (201...

Experiments in electrophysiology produce a lot of unstructured metadata collected in electrophysiology databases. The data are usually accessed through a web interface implemented on the top of data model respecting given data format. A lot of experiments are conducted outside the laboratory where access to these databases is not always available....

The event-related potentials technique is widely used in cognitive neuroscience research. The P300 waveform has been explored in many research articles because of its wide applications, such as lie detection or brain-computer interfaces (BCI). However, very few datasets are publicly available. Therefore, most researchers use only their private data...

[This corrects the article on p. 20 in vol. 8, PMID: 24639646.].

This paper describes improvement of the Hilbert-Huang transform (HHT) for detection of ERP components in the EEG signal. Time-frequency domain methods, such as the wavelet transform or matching pursuit, are commonly for this task. We used a modified Hilbert-Huang transform that allows the processing of quasi-stationary signals such as EEG. The esse...

As in other areas of experimental science, operation of electrophysiological laboratory, design and performance of electrophysiological experiments, collection, storage and sharing of experimental data and metadata, analysis and interpretation of these data, and publication of results are time consuming activities. If these activities are well orga...