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Information Technology in Biomedicine

9th International Conference, ITIB 2022 Kamień Śląski, Poland, June 20–22, 2022 Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Ewa Pietka

    1. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

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  2. Pawel Badura

    1. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

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  3. Jacek Kawa

    1. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

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  4. Wojciech Wieclawek

    1. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

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  • Presents recent research on information technologies in medicine
  • Provides scientific outcome of the 9th International Conference Information Technologies in Biomedicine
  • Combines modern information technologies and clinical medicine both from theoretical and applied views

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1429)

Included in the following conference series:

Conference proceedings info: ITIB 2022.

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Table of contents (45 papers)

  1. Front Matter

    Pages i-xiii
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  2. Computational Methods for Understanding Human Complexity

    1. Front Matter

      Pages 1-1
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    2. Classifying Changes in Motion Behaviour Due to a Hospital Stay Using Floor Sensor Data – A Single Case Study

      • Laura Liebenow, Jasmin Walter, Raoul Hoffmann, Axel Steinhage, Marcin Grzegorzek
      Pages 3-14

    3. Cloud-Based System for Vital Data Recording at Patients’ Home

      • Alexander Keil, Kai Hahn, Rainer Brück, Nick Brombach, Nabeel Farhan, Olaf Gaus
      Pages 15-27

    4. Tele-BRAIN Diagnostics Support System for Cognitive Disorders in Parkinson’s Patients

      • Andrzej W. Mitas, Agnieszka A. Gorzkowska, Katarzyna Zawiślak-Fornagiel, Andrzej S. Małecki, Monika N. Bugdol, Marcin Bugdol et al.
      Pages 28-42

    5. EEG Signal and Deep Learning Approach in Evaluation of Cognitive Declines in Parkinson’s Disease

      • Marcin Bugdol, Daniel Ledwoń, Monika N. Bugdol, Katarzyna Zawiślak-Fornagiel, Marta Danch-Wierzchowska, Andrzej W. Mitas
      Pages 43-53

    6. The Role of Two-Dimensional Entropies in IRT-Based Pregnancy Determination Evaluated on the Equine Model

      • Marta Borowska, Małgorzata Maśko, Tomasz Jasiński, Małgorzata Domino
      Pages 54-65

    7. Eye-Tracking as a Component of Multimodal Emotion Recognition Systems

      • Weronika Celniak, Piotr Augustyniak
      Pages 66-75

    8. Sleep Quality in Population Studies – Relationship of BMI and Sleep Quality in Men

      • Agnieszka Witek, Marcin Bugdol, Anna Lipowicz
      Pages 76-83

    9. Exploring Developmental Factors Related to Auditory Processing Disorder in Children

      • Michał Kręcichwost, Natalia Moćko, Magdalena Ławecka, Zuzanna Miodońska, Agata Sage, Paweł Badura
      Pages 84-93

    10. Morphological Language Features of Anorexia Patients Based on Natural Language Processing

      • Stella Maćkowska, Klaudia Barańska, Agnieszka Różańska, Katarzyna Rojewska, Dominik Spinczyk
      Pages 94-104

  3. Image Analysis

    1. Front Matter

      Pages 105-105
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    2. Comparison of Analytical and Iterative Algorithms for Reconstruction of Microtomographic Phantom Images and Rat Mandibular Scans

      • Paweł Lipowicz, Agnieszka Dardzińska-Głębocka, Marta Borowska, Ander Biguri
      Pages 107-118

    3. Comparison of Interpolation Methods for MRI Images Acquired with Different Matrix Sizes

      • Adam Cieślak, Adam Piórkowski, Rafał Obuchowicz
      Pages 119-131

    4. Preprocessing of Laryngeal Images from High-Speed Videoendoscopy

      • Justyna Kałuża, Paweł Strumiłło, Ewa Niebudek-Bogusz, Wioletta Pietruszewska
      Pages 132-142

    5. Construction of a Cephalometric Image Based on Magnetic Resonance Imaging Data

      • Piotr Cenda, Rafał Obuchowicz, Adam Piórkowski
      Pages 143-154

    6. Analysis of Changes in Corneal Structure During Intraocular Pressure Measurement by Air-Puff Method

      • Magdalena Jędzierowska, Robert Koprowski, Sławomir Wilczyński
      Pages 155-167

    7. Discrimination Between Stroke and Brain Tumour in CT Images Based on the Texture Analysis

      • Monika Kobus, Karolina Sobczak, Mariusz Jangas, Adrian Świątek, Michał Strzelecki
      Pages 168-180

    8. The Influence of Textural Features on the Differentiation of Coronary Vessel Wall Lesions Visualized on IVUS Images

      • Weronika Małek, Tomasz Roleder, Elżbieta Pociask
      Pages 181-193

    9. Computer Aided Analysis of Clock Drawing Test Samples via PACS Plugin

      • Jacek Kawa, Maria Bieńkowska, Adam Bednorz, Michał Smoliński, Emilia J. Sitek
      Pages 194-207
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Other volumes

  1. Information Technology in Biomedicine

Keywords

About this book

This book presents a comprehensive study in the field of advances in medical data science and contains carefully selected articles contributed by experts of information technology. Continuous growth of the amount of medical information and the variety of multimodal content necessitates the demand for a fast and reliable technology able to process data and deliver results in a user-friendly manner at the time and place the information is needed.

Computational approaches for understanding human complexity, AI-powered applications in image and signal processing, bioinformatics, sound and motion as activity stimulus, joint activities in biomedical engineering and physiotherapy, disorder in children, selected comparative studies give new meaning to optimization of the functional requirements of the healthcare system for the benefit of the patients. It is an interdisciplinary collection of papers that have both theoretical and applied dimensions. It includes the following research areas:

Computational methods for understanding human complexity

Image and signal analysis

Multidimensional medical data analysis

Sound and motion

Joint activities in biomedical engineering and physiotherapy

This book is a great reference tool for scientists who deal with problems of designing and implementing information processing tools employed in systems that assist the clinicians, radiologists, and physiotherapists in patient diagnosis and treatment. It also serves students in exploring innovations in quantitative medical data analysis, data mining, and artificial intelligence.


Editors and Affiliations

  • Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Ewa Pietka, Pawel Badura, Jacek Kawa, Wojciech Wieclawek

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