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Information technology in biomedicin...

International Conference on Information Technology in Biomedicine (2022 :)

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Information technology in biomedicine = 9th International Conference, ITIB 2022 Kamien Slaski, Poland, June 20-22, 2022 proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Information technology in biomedicine/ edited by Ewa Pietka ... [et al.].
Reminder of title:	9th International Conference, ITIB 2022 Kamien Slaski, Poland, June 20-22, 2022 proceedings /
remainder title:	ITIB 2022
other author:	Pietka, Ewa.
corporate name:	International Conference on Information Technology in Biomedicine
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xiii, 547 p. :ill., digital ;24 cm.
[NT 15003449]:	Classifying Changes in Motion Behaviour Due to a Hospital Stay Using Floor Sensor Data - a Single Case Study -- Cloud-Based System for Vital Data Recording at Patients' Home -- Tele-BRAIN Diagnostics Support System for Cognitive Disorders in Parkinson's Patients -- EEG Signal and Deep Learning Approach in Evaluation of Cognitive Declines in Parkinson's Disease -- Construction of a Cephalometric Image Based on Magnetic Resonance Imaging Data -- A Revealed Imperfection in Concept Drift Correction in Metabolomics Modeling -- The Influence of Low-Intensity Pulsed Ultrasound (LIPUS) on the Properties of PLGA Biodegradable Polymer Coatings on Ti6Al7Nb Substrate.
Contained By:	Springer Nature eBook
Subject:	Biomedical engineering - Congresses. - Information technology -
Online resource:	https://doi.org/10.1007/978-3-031-09135-3
ISBN:	9783031091353

Information technology in biomedicine = 9th International Conference, ITIB 2022 Kamien Slaski, Poland, June 20-22, 2022 proceedings /
Information technology in biomedicine9th International Conference, ITIB 2022 Kamien Slaski, Poland, June 20-22, 2022 proceedings /[electronic resource] :ITIB 2022edited by Ewa Pietka ... [et al.]. - Cham :Springer International Publishing :2022. - xiii, 547 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v. 14292194-5365 ;. - Advances in intelligent systems and computing ;v. 1429..

Classifying Changes in Motion Behaviour Due to a Hospital Stay Using Floor Sensor Data - a Single Case Study -- Cloud-Based System for Vital Data Recording at Patients' Home -- Tele-BRAIN Diagnostics Support System for Cognitive Disorders in Parkinson's Patients -- EEG Signal and Deep Learning Approach in Evaluation of Cognitive Declines in Parkinson's Disease -- Construction of a Cephalometric Image Based on Magnetic Resonance Imaging Data -- A Revealed Imperfection in Concept Drift Correction in Metabolomics Modeling -- The Influence of Low-Intensity Pulsed Ultrasound (LIPUS) on the Properties of PLGA Biodegradable Polymer Coatings on Ti6Al7Nb Substrate.

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.

ISBN: 9783031091353

Standard No.: 10.1007/978-3-031-09135-3doiSubjects--Topical Terms:

3602020
Biomedical engineering
--Information technology--Congresses.

LC Class. No.: R856.A2 / I57 2022

Dewey Class. No.: 610.285

Information technology in biomedicine = 9th International Conference, ITIB 2022 Kamien Slaski, Poland, June 20-22, 2022 proceedings /
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520 $a 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.
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