Bio-medical Signals and Methods of their Processing

Major: Electronics
Code of subject: 6.171.02.E.058
Credits: 6.00
Department: Department of Electronic Engineering
Lecturer: PhD, assistant Serhii Melnikov
Semester: 6 семестр
Mode of study: денна
Мета вивчення дисципліни: The purpose of the discipline "Biomedical Signals and Methods of Their Investigation" is to familiarize students with the theoretical foundations and practical aspects of processing and analyzing biomedical signals.
Завдання: Special (professional, subject) competencies: SC5 Ability to apply appropriate mathematical, scientific and technical methods, information technology and computer software, skills in working with computer networks, databases and Internet resources to solve engineering problems in the field of electronics. Professional competencies of the professional direction (PCC): PCC2.2. Ability to reasonably select and use existing methods of signal processing and analysis in biomedical systems.
Learning outcomes: Program learning outcomes: Р2. To apply knowledge and understanding of differential and integral calculus, algebra, functional analysis of real and complex variables, vectors and matrices, vector calculus, differential equations in ordinary and partial derivatives, Fourier series, statistical analysis, information theory, numerical methods to solve theoretical and applied problems of electronics. Р5. Use information and communication technologies, applied and specialized software products to solve problems of designing and debugging electronic systems, demonstrate skills in programming, analyzing and displaying measurement and control results. Р7. Analyze complex digital and analog information and measurement systems with advanced architecture of computer and telecommunication networks, taking into account the specifications of selected electronic equipment and relevant technical documentation. Р8. Determine and identify mathematical models of technological objects in the development of new complex electronic systems in a computer environment and select the optimal solution. Р12. Use documentation related to professional activities, using modern technologies and office equipment; use English, including special terminology, to communicate with specialists, conduct literature searches and read texts on technical and professional topics. Р16. Apply an understanding of the theory of stochastic processes, methods of statistical processing and data analysis in solving professional problems. Communication: К3. Use of mass media, information and communication technologies to obtain, process and create relevant information in the form of documents, abstracts, reports, articles, interviews.
Required prior and related subjects: Prerequisites: Quantum electronics and laser technology. Fundamentals of biomedical engineering. Prerequisites: Medical materials science. Expert systems in medicine.
Summary of the subject: The course "Biomedical Signals and Methods of Their Investigation" is designed to familiarize students with the basic aspects of the analysis of biomedical signals that occur in living organisms. The course covers various types of biomedical signals, the physiological basis of these signals, their characteristics, and methods of their processing. The course focuses on theoretical and practical aspects of digital signal processing, including filtering, spectral analysis, spatial and temporal signal processing methods. The course also includes the study of modern methods and technologies used in biomedical research and clinical practice, such as artificial intelligence methods for signal analysis, algorithms for automated diagnosis and monitoring of patients.
Опис: INTRODUCTION TO BIOMEDICAL SIGNALS: Definition of biomedical signals and their classification. Physiological basis of biomedical signals. Study of the mechanisms of signal generation and transmission in biological systems. ELECTROPHYSIOLOGICAL SIGNALS: Electroencephalogram (EEG): basic characteristics and application. Electrocardiogram (ECG): analysis of cardiac cycles and pathologies. ELECTROMYOGRAPHY (EMG): Principles of recording muscle signals. Use of EMG in clinical diagnosis and rehabilitation. BIOMEDICAL SIGNAL PROCESSING: Fundamentals of digital signal processing: filtering, discrete Fourier transform. Analysis of time and frequency characteristics of biomedical signals. MODERN METHODS OF BIOMEDICAL DATA PROCESSING: Using machine learning to analyze biomedical signals. Algorithms for automated classification of pathological conditions. APPLICATION IN CLINICAL AND SCIENTIFIC PRACTICE: The role of biomedical signals in medical research. The use of biomedical signals in patient monitoring and disease diagnosis. PROCESSING AND CLASSIFICATION ALGORITHMS: Application of artificial intelligence methods for analysis and classification of biomedical data. APPLICATIONS IN MEDICAL PRACTICE AND RESEARCH: Studying the role of biomedical signals in diagnostics, patient monitoring, and the development of new medical technologies.
Assessment methods and criteria: Current control: tests, laboratory and practical work, individual homework. Final control: differentiated credit.
Критерії оцінювання результатів навчання: Distribution of points on a 100-point scale. Current control: laboratory classes - 20 points; practical classes - 20 points; control work - 60 points.
Порядок та критерії виставляння балів та оцінок: 100–88 points – (“excellent”) is awarded for a high level of knowledge (some inaccuracies are allowed) of the educational material of the component contained in the main and additional recommended literary sources, the ability to analyze the phenomena being studied in their interrelationship and development, clearly, succinctly, logically, consistently answer the questions, the ability to apply theoretical provisions when solving practical problems; 87–71 points – (“good”) is awarded for a generally correct understanding of the educational material of the component, including calculations, reasoned answers to the questions posed, which, however, contain certain (insignificant) shortcomings, for the ability to apply theoretical provisions when solving practical tasks; 70 – 50 points – (“satisfactory”) awarded for weak knowledge of the component’s educational material, inaccurate or poorly reasoned answers, with a violation of the sequence of presentation, for weak application of theoretical provisions when solving practical problems; 49-26 points - ("not certified" with the possibility of retaking the semester control) is awarded for ignorance of a significant part of the educational material of the component, significant errors in answering questions, inability to apply theoretical provisions when solving practical problems; 25-00 points - ("unsatisfactory" with mandatory re-study) is awarded for ignorance of a significant part of the educational material of the component, significant errors in answering questions, inability to navigate when solving practical problems, ignorance of the main fundamental provisions.
Recommended books: 1. Абакумов В.Г., Рибін О.І., Сватош Й. Біомедичні сигнали. Генезис, обробка, моніторинг. Навчальний посібник. - К.: Нора-прінт, 2001. - 516 с. 2. Біомедичні сигнали та їх обробка: Навч. посібник / В.Г.Абакумов, В.О.Геранін, О.І.Рибін, Й.Сватош, Ю.С.Синєкоп. - К.: ВЕК+, 1997. – 352 с. 3. Сторчун Є.В., Матвійчук Я.М. Біофізичні та математичні основи інструментальних методів медичної діагностики: Навч. посібник. Львів: Видавництво “Растр-7”, 2009. – 216 с. 4. Доброва В.Є. Біофізика та медична аппаратура; навч. Посібник / В.Є. Доброва, В.О. Тіманюк. – К.: ВД «Професіонал», 2006. – 200 с. 5. Основи біомедичного радіоелектронного апаратобудування / С.М. Злепко, С.В. Павлов, Л.Г. Коваль, І.С. Тимчик. – Вінниця: ВНТУ, 2011. – 133с.
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Академічна доброчесність: The policy regarding the academic integrity of the participants of the educational process is formed on the basis of compliance with the principles of academic integrity, taking into account the norms "Regulations on academic integrity at the Lviv Polytechnic National University" (approved by the academic council of the university on June 20, 2017, protocol No. 35).