Role of toys in the development and rehabilitation of children with developmental disorders

Mikołajewska Emilia, Komendziński Tomasz, Dreszer Joanna, Bałaj Bibianna, Mikołajewski Dariusz. Role of toys in the development and rehabilitation of children with developmental disorders. Journal of Education, Health and Sport. 2015;5(4):224-228. ISSN 2391-8306. DOI: 10.5281/zenodo.16864http://ojs.ukw.edu.pl/index.php/johs/article/view/2015%3B5%284%29%3A224-228https://pbn.nauka.gov.pl/works/554863http://dx.doi.org/10.5281/zenodo.16864Formerly Journal of Health Sciences. ISSN 1429-9623 / 2300-665X. Archives 2011 – 2014 http://journal.rsw.edu.pl/index.php/JHS/issue/archive Deklaracja.Specyfika i zawartość merytoryczna czasopisma nie ulega zmianie.Zgodnie z informacją MNiSW z dnia 2 czerwca 2014 r., że w roku 2014 nie będzie przeprowadzana ocena czasopism naukowych; czasopismo o zmienionym tytule otrzymuje tyle samo punktów co na wykazie czasopism naukowych z dnia 31 grudnia 2014 r.The journal has had 5 points in Ministry of Science and Higher Education of Poland parametric evaluation. Part B item 1089. (31.12.2014).© The Author (s) 2015;This article is published with open access at Licensee Open Journal Systems of Kazimierz Wielki University in Bydgoszcz, Poland and Radom University in Radom, PolandOpen Access. This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium,provided the original author(s) and source are credited. This is an open access article licensed under the terms of the Creative Commons Attribution Non Commercial License(http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non commercial use, distribution and reproduction in any medium, provided the work is properly cited.This is an open access article licensed under the terms of the Creative Commons Attribution Non Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non commercialuse, distribution and reproduction in any medium, provided the work is properly cited.The authors declare that there is no conflict of interests regarding the publication of this paper.Received: 15.02.2015. Revised 27.03.2015. Accepted: 10.04.2015. Role of toys in the development and rehabilitation of children with developmental disorders Emilia Mikołajewska1,2,3, Tomasz Komendziński3,4, Joanna Dreszer3,4, Bibianna Bałaj3,4, Dariusz Mikołajewski3,5,6 1 Department of Physiotherapy, Ludwik Rydygier Collegium Medium in Bydgoszcz, Nicolaus Copernicus University in Toruń2 Rehabilitation Clinic, The 10th Clinical Military Hospital with Policlinic, Bydgoszcz, Poland3 Neurocognitive Laboratory, Interdisciplinary Center for Modern Technologies, Nicolaus Copernicus University in Toruń4 Department of Cognitive Science, Nicolaus Copernicus University, Toruń, Poland5 Institute of Mechanics and Applied Computer Sciences, Kazimierz Wielki Universit, Bydgoszcz, Poland6 Department of Informatics, Nicolaus Copernicus University, Toruń, Poland  Corresponding author:Emilia MikołajewskaRehabilitation ClinicMilitary Clinical Hospital No. 10 and PolyclinicBydgoszcz, Polande-mail: [email protected], [email protected]: http://emikolajewska.netstrefa.eu Keywords: rehabilitation; physiotherapy; developmental disorders; toy use; parent–child interaction; patient-therapist relationship. Abstract Developmental disorders (called also developmental disabilities) are disorders beginning before age 18 and characterized by delay of developmental skills expected to achieve in particular age or developmental stage. Every effort toward new ways of intervention is precious, and achievement of the therapeutical success still constitutes tru challenge. This study aims at assessment how toys can be incorporated into principles of the eclectic approach toward therapy of children with developmental disabilities

Role of toys in the development of healthy infants

Mikołajewska Emilia, Komendziński Tomasz, Dreszer Joanna, Bałaj Bibianna, Mikołajewski Dariusz. Role of toys in the development of healthy infants. Journal of Education, Health and Sport. 2015;5(4):219-223. ISSN 2391-8306. DOI: 10.5281/zenodo.16845http://ojs.ukw.edu.pl/index.php/johs/article/view/2015%3B5%284%29%3A219-223https://pbn.nauka.gov.pl/works/554832http://dx.doi.org/10.5281/zenodo.16845Formerly Journal of Health Sciences. ISSN 1429-9623 / 2300-665X. Archives 2011 – 2014 http://journal.rsw.edu.pl/index.php/JHS/issue/archive Deklaracja.Specyfika i zawartość merytoryczna czasopisma nie ulega zmianie.Zgodnie z informacją MNiSW z dnia 2 czerwca 2014 r., że w roku 2014 nie będzie przeprowadzana ocena czasopism naukowych; czasopismo o zmienionym tytule otrzymuje tyle samo punktów co na wykazie czasopism naukowych z dnia 31 grudnia 2014 r.The journal has had 5 points in Ministry of Science and Higher Education of Poland parametric evaluation. Part B item 1089. (31.12.2014).© The Author (s) 2015;This article is published with open access at Licensee Open Journal Systems of Kazimierz Wielki University in Bydgoszcz, Poland and Radom University in Radom, PolandOpen Access. This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium,provided the original author(s) and source are credited. This is an open access article licensed under the terms of the Creative Commons Attribution Non Commercial License(http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non commercial use, distribution and reproduction in any medium, provided the work is properly cited.This is an open access article licensed under the terms of the Creative Commons Attribution Non Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non commercialuse, distribution and reproduction in any medium, provided the work is properly cited.The authors declare that there is no conflict of interests regarding the publication of this paper.Received: 15.02.2015. Revised 27.03.2015. Accepted: 10.04.2015. Role of toys in the development of healthy infants Emilia Mikołajewska1,2,3, Tomasz Komendziński3,4, Joanna Dreszer3,4, Bibianna Bałaj3,4, Dariusz Mikołajewski3,5,6 1 Department of Physiotherapy, Ludwik Rydygier Collegium Medium in Bydgoszcz, Nicolaus Copernicus University in Toruń2 Rehabilitation Clinic, The 10th Clinical Military Hospital with Policlinic, Bydgoszcz, Poland3 Neurocognitive Laboratory, Interdisciplinary Center for Modern Technologies, Nicolaus Copernicus University in Toruń4 Department of Cognitive Science, Nicolaus Copernicus University, Toruń, Poland5 Institute of Mechanics and Applied Computer Sciences, Kazimierz Wielki Universit, Bydgoszcz, Poland6 Department of Informatics, Nicolaus Copernicus University, Toruń, Poland  Corresponding author:Emilia MikołajewskaRehabilitation ClinicMilitary Clinical Hospital No. 10 and PolyclinicBydgoszcz, Polande-mail: [email protected], [email protected]: http://emikolajewska.netstrefa.eu   Keywords: rehabilitation; development; gesture; toy use; parent–child interaction;   Abstract Developmental outcomes in infants can be significantly improved thanks to promising use of approapriate toys. Objective assessment of their positive influence to functional achievements in healthy infants may completely change attitude to new generation of toys, developing motor, cognitive, and social skills. Despite advances in toys assessment their true influence remains incomplete. This study aims at assessment how current knowledge and experience influences principles of the toys selection and use in healthy infants

ToFFi - Toolbox for Frequency-based Fingerprinting of Brain Signals

Spectral fingerprints (SFs) are unique power spectra signatures of human brain regions of interest (ROIs, Keitel & Gross, 2016). SFs allow for accurate ROI identification and can serve as biomarkers of differences exhibited by non-neurotypical groups. At present, there are no open-source, versatile tools to calculate spectral fingerprints. We have filled this gap by creating a modular, highly-configurable MATLAB Toolbox for Frequency-based Fingerprinting (ToFFi). It can transform MEG/EEG signals into unique spectral representations using ROIs provided by anatomical (AAL, Desikan-Killiany), functional (Schaefer), or other custom volumetric brain parcellations. Toolbox design supports reproducibility and parallel computations.Comment: 21 pages, 10 figure

Spatiotemporal complexity patterns of resting‐state bioelectrical activity explain fluid intelligence : sex matters

Neural complexity is thought to be associated with efficient information processing but the exact nature of this relation remains unclear. Here, the relationship of fluid intelligence (gf) with the resting‐state EEG (rsEEG) complexity over different timescales and different electrodes was investigated. A 6‐min rsEEG blocks of eyes open were analyzed. The results of 119 subjects (57 men, mean age = 22.85 ± 2.84 years) were examined using multivariate multiscale sample entropy (mMSE) that quantifies changes in information richness of rsEEG in multiple data channels at fine and coarse timescales. gf factor was extracted from six intelligence tests. Partial least square regression analysis revealed that mainly predictors of the rsEEG complexity at coarse timescales in the frontoparietal network (FPN) and the temporo‐parietal complexities at fine timescales were relevant to higher gf. Sex differently affected the relationship between fluid intelligence and EEG complexity at rest. In men, gf was mainly positively related to the complexity at coarse timescales in the FPN. Furthermore, at fine and coarse timescales positive relations in the parietal region were revealed. In women, positive relations with gf were mostly observed for the overall and the coarse complexity in the FPN, whereas negative associations with gf were found for the complexity at fine timescales in the parietal and centro‐temporal region. These outcomes indicate that two separate time pathways (corresponding to fine and coarse timescales) used to characterize rsEEG complexity (expressed by mMSE features) are beneficial for effective information processing

ToFFi – Toolbox for frequency-based fingerprinting of brain signals

Spectral fingerprints (SFs) are unique power spectra signatures of human brain regions of interest (ROIs, Keitel & Gross, 2016). SFs allow for accurate ROI identification and can serve as biomarkers of differences exhibited by non-neurotypical groups. At present, there are no open-source, versatile tools to calculate spectral fingerprints. We have filled this gap by creating a modular, highly-configurable MATLAB Toolbox for Frequency-based Fingerprinting (ToFFi). It can transform magnetoencephalographic and electroencephalographic signals into unique spectral representations using ROIs provided by anatomical (AAL, Desikan-Killiany), functional (Schaefer), or other custom volumetric brain parcellations. Toolbox design supports reproducibility and parallel computations

Intelligent emotions stabilization system using standarized images, breath sensor and biofeedback – preliminary findings - short communication

Sokolov Oleksandr, Meszyński Sebastian, Dreszer-Drogorób Joanna, Bałaj Bibianna, Duch Włodzisław, Grzelak Sławomir, Komendziński Tomasz,  Mikołajewski Dariusz. Intelligent emotions stabilization system using standarized images, breath sensor and biofeedback – preliminary findings - short communication. Journal of Education, Health and Sport. 2015;5(2):260-268. ISSN 2391-8306. DOI: 10.5281/zenodo.16251 http://ojs.ukw.edu.pl/index.php/johs/article/view/2015%3B5%282%29%3A260-268 https://pbn.nauka.gov.pl/works/548026 http://dx.doi.org/10.5281/zenodo.16251 Formerly Journal of Health Sciences. ISSN 1429-9623 / 2300-665X. Archives 2011 – 2014 http://journal.rsw.edu.pl/index.php/JHS/issue/archive   Deklaracja. Specyfika i zawartość merytoryczna czasopisma nie ulega zmianie. Zgodnie z informacją MNiSW z dnia 2 czerwca 2014 r., że w roku 2014 nie będzie przeprowadzana ocena czasopism naukowych; czasopismo o zmienionym tytule otrzymuje tyle samo punktów co na wykazie czasopism naukowych z dnia 31 grudnia 2014 r. The journal has had 5 points in Ministry of Science and Higher Education of Poland parametric evaluation. Part B item 1089. (31.12.2014). © The Author (s) 2015; This article is published with open access at Licensee Open Journal Systems of Kazimierz Wielki University in Bydgoszcz, Poland and Radom University in Radom, Poland Open Access. This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. This is an open access article licensed under the terms of the Creative Commons Attribution Non Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non commercial use, distribution and reproduction in any medium, provided the work is properly cited. This is an open access article licensed under the terms of the Creative Commons Attribution Non Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non commercial use, distribution and reproduction in any medium, provided the work is properly cited. The authors declare that there is no conflict of interests regarding the publication of this paper. Received: 20.10.2014. Revised 18.01.2015. Accepted: 25.02.2015.   Intelligent emotions stabilization system using standarized images, breath sensor and biofeedback – preliminary findings - short communication   Oleksandr Sokolov1, 2, Sebastian Meszyński1, Joanna Dreszer-Drogorób3, 2, Bibianna Bałaj3, 2, Włodzisław Duch1, 2, Sławomir Grzelak4, Tomasz Komendziński3, 2, Dariusz Mikołajewski5, 1, 2   1 Department of Informatics, Nicolaus Copernicus University, Toruń, Poland 2 Neurocognitive Laboratory, Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University, Toruń, Poland 3 Faculty of Humanities, Nicolaus Copernicus University, Toruń, Poland 4 Faculty of Physics, Nicolaus Copernicus University, Toruń, Poland 5 Institute of Mechanics and Applied Computer Science, Kazimierz Wielki University, Bydgoszcz, Poland   Address for correspondence: Prof. dr hab. Oleksandr Sokolov Department of Informatics Nicolaus Copernicus University Grudziądzka 5 87-100 Toruń, Poland e-mail: [email protected]   Abstract   Purpose: Currently there is no direct method available to automatically distinguish between emotions by real-time computational analysis and stabilize emotional state of the subject using series of  standarized pictures or others stimuli. The aim of this study was to find out whether is true if our new concept of intelligent emotions stabilization system can constitute another step toward better analysis and understanding of the aformantioned processess. The aim of this study was to compare normative ratings of the Nencki Affective Picutre System standardized images database with the emotional respiratory patterns. Methods: The study group comprised of 150 healthy people (50% females; aged 20-26 years). Computational models of responses to the stimuli and reverse problem were created using the Matlab environment. Results: The models were able to predict the levels of arousal, valence and self-emotional state in 90%. Conclusions: Proposed approach can open a family of novel efficient methods for control of emotions by measure of breathing and appropriate sets of images (e.g. in affective computing applications).   Keywords: emotion, affective state, patent-therapist cooperation, computational analysis, artificial intelligence

Heart Rate Variability and Accelerometry as Classification Tools for Monitoring Perceived Stress Levels—A Pilot Study on Firefighters

Chronic stress is the main cause of health problems in high-risk jobs. Wearable sensors can become an ecologically valid method of stress level assessment in real-life applications. We sought to determine a non-invasive technique for objective stress monitoring. Data were collected from firefighters during 24-h shifts using sensor belts equipped with a dry-lead electrocardiograph (ECG) and a three-axial accelerometer. Levels of stress experienced during fire incidents were evaluated via a brief self-assessment questionnaire. Types of physical activity were distinguished basing on accelerometer readings, and heart rate variability (HRV) time series were segmented accordingly into corresponding fragments. Those segments were classified as stress/no-stress conditions. Receiver Operating Characteristic (ROC) analysis showed true positive classification as stress condition for 15% of incidents (while maintaining almost zero False Positive Rate), which parallels the amount of truly stressful incidents reported in the questionnaires. These results show a firm correspondence between the perceived stress level and physiological data. Psychophysiological measurements are reliable indicators of stress even in ecological settings and appear promising for chronic stress monitoring in high-risk jobs, such as firefighting

Multiagent modeling of emotions influence on physiological systems: new concept = Modelowanie wieloagentowe wpływu emocji na układy fizjologiczne: nowa koncepcja

Sokolov Oleksandr, Meszyński Sebastian, Weber Piotr, Mikołajewski Dariusz, Dreszer Joanna, Bałaj Bibianna, Grzelak Sławomir, Duch Włodzisław,  Komendziński Tomasz. Multiagent modeling of emotions influence on physiological systems: new concept = Modelowanie wieloagentowe wpływu emocji na układy fizjologiczne: nowa koncepcja. Journal of Education, Health and Sport. 2015;5(1):221-240. ISSN 2391-8306. DOI:10.5281/zenodo.16252 http://ojs.ukw.edu.pl/index.php/johs/article/view/2015%3B5%281%29%3A221-240 https://pbn.nauka.gov.pl/works/548059 http://dx.doi.org/10.5281/zenodo.16252 Formerly Journal of Health Sciences. ISSN 1429-9623 / 2300-665X. Archives 2011 – 2014 http://journal.rsw.edu.pl/index.php/JHS/issue/archive   Deklaracja. Specyfika i zawartość merytoryczna czasopisma nie ulega zmianie. Zgodnie z informacją MNiSW z dnia 2 czerwca 2014 r., że w roku 2014 nie będzie przeprowadzana ocena czasopism naukowych; czasopismo o zmienionym tytule otrzymuje tyle samo punktów co na wykazie czasopism naukowych z dnia 31 grudnia 2014 r. The journal has had 5 points in Ministry of Science and Higher Education of Poland parametric evaluation. Part B item 1089. (31.12.2014). © The Author (s) 2015; This article is published with open access at Licensee Open Journal Systems of Kazimierz Wielki University in Bydgoszcz, Poland and Radom University in Radom, Poland Open Access. This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. This is an open access article licensed under the terms of the Creative Commons Attribution Non Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non commercial use, distribution and reproduction in any medium, provided the work is properly cited. This is an open access article licensed under the terms of the Creative Commons Attribution Non Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non commercial use, distribution and reproduction in any medium, provided the work is properly cited. The authors declare that there is no conflict of interests regarding the publication of this paper. Received: 20.10.2014. Revised 18.01.2015. Accepted: 25.01.2015.     Multiagent modeling of emotions influence on physiological systems: new concept   Modelowanie wieloagentowe wpływu emocji na układy fizjologiczne: nowa koncepcja   Oleksandr Sokolov1, Sebastian Meszyński1, Piotr Weber2,3, Dariusz Mikołajewski4,1,3, Joanna Dreszer5, 3, Bibianna Bałaj5, 3, Sławomir Grzelak6, Włodzisław Duch1, 3, Tomasz Komendziński5, 3   1 Department of Informatics, Nicolaus Copernicus University, Grudziądzka 5, Toruń, Poland 2 Collegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland 3 Neurocognitive Laboratory, Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University, Toruń, Poland 4 Institute of Mechanics and Applied Computer Science, Kazimierz Wielki University, Bydgoszcz, Poland 5 Faculty of Humanities, Nicolaus Copernicus University, Toruń, Poland 6 Faculty of Physics, Nicolaus Copernicus University, Toruń, Poland   Address for correspondence: Prof. dr hab. Oleksandr Sokolov Department of Informatics Nicolaus Copernicus University Grudziądzka 5 86-100 Toruń Poland e-mail: [email protected]   Abstract   Background: Human physiological system belongs to the most complex systems which elements has been described in detail using different mathematical models. Due to  high complexity of elements, the design of whole physiological system depends on the goal of investigations. We would like to concentrate our efforts on emotions influence to physiological systems. That allows to create the model with specific properties that are important to such investigations. Objectives: Primary aim of the study was to assess correlations – statistical relationships between emotional states and physiological parameters.  Secondary aim of this  work was an attempt to describe the physiological processes of subsystems - cardiac, respiratory, glucose-insulin system and their integration into a single information environment for the purpose of analysis, modeling, prediction and real-time control for a variety of diagnostic and analysis of  emotional states. Material and methods: The investigated group consisted of 30 healthy people aged 21 years. In this study multilevel multiagent system is involved in investigation of emotion states modeling. Results: The findings show how relatively simple breathing sensor can be useful both in recording of breath in patients with disorders of consciousness, and also to record the breath in anticipation of certain stimuli in psychological experiments. Conclusions: Proposed concept can constitute another breakthrough in reliable modeling of human physiologic processes. It introduces multi-agent approach into computational analysis of cardiovascular, respiratory, glucose-insulin system, and provides their integration into a single information environment with coherent information flow and behavior.   Key words: cardiocascular system, respiratory system, insulin, emotions, computer simulation.   Streszczenie   Wprowadzenie: Układ fizjologiczny człowieka należy do najbardziej złożonych systemów, a jego poszczególne elementy zostały szczegółowo opisane za pomocą modeli matematycznych. Z powodu ich dużej złożoności projektowanie większych systemów jest uzależnione od celu badania. Nasze wysiłki chcemy skoncentrować na wpływie emocji na systemy fizjologiczne. Cel: Celem podstawowym badania była ocena korelacji – powiązań statystycznych – między stanami emocjonalnymi a parametrami fizjologicznymi. Celem wtórnym badania była próba opisu procesów fizjologicznych za pomocą podsystemów: krążenia, oddechowego i wydzielania insuliny, jak również ich integracji w jedno środowisko informacyjne przydatne do analizy, modelowania, predykcji oraz kontroli w czasie rzeczywistym stanów emocjonalnych w celach diagnostycznych i naukowo-badawczych. Materiał i metody: Badaną grupę stanowiło 30 zdrowych osób w wieku 21 lat. W badaniu wielopoziomowy system wieloagentowy wykorzystano do śledzenia stanów emocjonalnych człowieka. Wyniki: Wyniki badania pokazują, jak stosunkowo prosty czujnik oddechu może być użyteczny zarówno do rejestrowania oddechu u pacjentów z zaburzeniami świadomości, jak również rejestracji oddechu w celu predykcji konkretnego bodźca w eksperymentach psychologicznych. Wnioski: Proponowana koncepcja może stanowić kolejny postęp w wiarygodnym modelowaniu procesów fizjologicznych człowieka. Wprowadza ona modelowanie wieloagentowe do obliczeniowej analizy układów: sercowo-naczyniowego, oddechowego oraz ‘glukoza-insulina’ oraz zapewnia ich integrację w jednolite środowisko informacyjne ze spójnym przepływam informacji oraz zachowaniem.   Słowa kluczowe: układ sercowo-naczyniowy, układ oddechowy, insulina, emocje, symulacja komputerowa

Spirometry Data Analysis and Monitoring in Medical and Physiological Tests

Sokolov Oleksandr, Dobosz Krzysztof, Dreszer Joanna, Duch Włodzisław, Grzelak Sławomir, Komendziński Tomasz, Mikołajewski Dariusz, Piotrowski Tomasz, Świerkocka Małgorzata, Weber Piotr. Spirometry Data Analysis and Monitoring in Medical and Physiological Tests. Journal of Education, Health and Sport. 2015;5(3):35-46. ISSN 2391-8306. DOI: 10.5281/zenodo.16171 http://ojs.ukw.edu.pl/index.php/johs/article/view/2015%3B5%283%29%3A35-46 https://pbn.nauka.gov.pl/works/546923 http://dx.doi.org/10.5281/zenodo.16171 Formerly Journal of Health Sciences. ISSN 1429-9623 / 2300-665X. Archives 2011 – 2014 http://journal.rsw.edu.pl/index.php/JHS/issue/archive   Deklaracja. Specyfika i zawartość merytoryczna czasopisma nie ulega zmianie. Zgodnie z informacją MNiSW z dnia 2 czerwca 2014 r., że w roku 2014 nie będzie przeprowadzana ocena czasopism naukowych; czasopismo o zmienionym tytule otrzymuje tyle samo punktów co na wykazie czasopism naukowych z dnia 31 grudnia 2014 r. The journal has had 5 points in Ministry of Science and Higher Education of Poland parametric evaluation. Part B item 1089. (31.12.2014). © The Author (s) 2015; This article is published with open access at Licensee Open Journal Systems of Kazimierz Wielki University in Bydgoszcz, Poland and Radom University in Radom, Poland Open Access. This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. This is an open access article licensed under the terms of the Creative Commons Attribution Non Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non commercial use, distribution and reproduction in any medium, provided the work is properly cited. This is an open access article licensed under the terms of the Creative Commons Attribution Non Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non commercial use, distribution and reproduction in any medium, provided the work is properly cited. The authors declare that there is no conflict of interests regarding the publication of this paper. Received: 20.01.2014. Revised 27.02.2015. Accepted: 12.03.2015.   Spirometry Data Analysis and Monitoring in Medical and Physiological Tests   Oleksandr Sokolov1, Krzysztof Dobosz1, Joanna Dreszer2, 4, Włodzisław Duch1, 4, Sławomir Grzelak3, Tomasz Komendziński2, 4, Dariusz Mikołajewski1, 4, 5, Tomasz Piotrowski1, 4, Małgorzata Świerkocka4, Piotr Weber1   1 Department of Informatics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University, Torun, Poland 2 Faculty of Humanities, Nicolaus Copernicus University, Toruń, Poland 3 Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University, Torun, Poland 4 Neurocognitive Laboratory, Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University, Toruń, Poland 5 Institute of Mechanics and Applied Computer Science, Kazimierz Wielki University, Bydgoszcz, Poland   Corresponding author: prof. Oleksandr Sokolov Department of Informatics Faculty of Physics, Astronomy and Informatics Nicolaus Copernicus University ul. Grudziadzka 5, 87-100 Torun, Poland e-mail: [email protected]   Abstract   Research on the computational breath analysis constitute important part of current challenges within the medical sciences, artificial intelligence, and biomedical engineering. Despite efforts of scientists and clinicians current results seem be not satisfying. Computational models of breath processes based e.g. on fuzzy logic may constitute another breakthrough in aforementioned area offering completing position to the current state of the art, both in the area of theoretical and experimental computational neuroscience, and clinical applications. Aim of the study was to find out whether is true if our new concept of intelligent breath analysis system can constitute another step toward better analysis and understanding of the aforementioned processes.   Keywords: breath measure; computational breath analysis; breath disorders; computational models; artificial intelligence

Spatiotemporal complexity patterns of resting‐state bioelectrical activity explain fluid intelligence: Sex matters

Neural complexity is thought to be associated with efficient information processing but the exact nature of this relation remains unclear. Here, the relationship of fluid intelligence (gf) with the resting‐state EEG (rsEEG) complexity over different timescales and different electrodes was investigated. A 6‐min rsEEG blocks of eyes open were analyzed. The results of 119 subjects (57 men, mean age = 22.85 ± 2.84 years) were examined using multivariate multiscale sample entropy (mMSE) that quantifies changes in information richness of rsEEG in multiple data channels at fine and coarse timescales. gf factor was extracted from six intelligence tests. Partial least square regression analysis revealed that mainly predictors of the rsEEG complexity at coarse timescales in the frontoparietal network (FPN) and the temporo‐parietal complexities at fine timescales were relevant to higher gf. Sex differently affected the relationship between fluid intelligence and EEG complexity at rest. In men, gf was mainly positively related to the complexity at coarse timescales in the FPN. Furthermore, at fine and coarse timescales positive relations in the parietal region were revealed. In women, positive relations with gf were mostly observed for the overall and the coarse complexity in the FPN, whereas negative associations with gf were found for the complexity at fine timescales in the parietal and centro‐temporal region. These outcomes indicate that two separate time pathways (corresponding to fine and coarse timescales) used to characterize rsEEG complexity (expressed by mMSE features) are beneficial for effective information processing