Methods of Biomedical Data Processing, Part 1

Major: Biomedical Engineering (Internet of Things)
Code of subject: 6.163.03.O.060
Credits: 5.00
Department: Electronics and Information Technology
Lecturer: Tetiana Smerdova
Semester: 5 семестр
Mode of study: денна
Learning outcomes: By the end of the study, learners are expected to: know: - features of the main types of biomedical signals used in biomedical practice or for biomedical systems research; - methods of archiving and redundancy reduction of biosignals; - coding techniques of biosignals and their computer processing; - methods and algorithms for automatic analysis of biosignals in the time and frequency domains; - methods of extraction of useful information in noise presence; - the most common automatic devices and software for processing of biosignals; - the presentation of images in DICOM standard; be able to: - use methods of archiving and redundancy reduction of biosignals, methods of their coding; - choose methods and computer tools, adequate to relevant biomedical information; - develop algorithms and programs for implementation of methods for processing of biomedical information; - use existing software and hardware for processing of biomedical information.
Required prior and related subjects: Prerequisite: Theory of Information and Information Systems. Corequisites: Information Technologies in Biomedical Engineering Methods of Biomedical Data Processing, Part 2 Information Systems in Biomedical Engineering
Summary of the subject: The main types of biosignals, commonly used in medical practice. Genesis of biosignals and their parameters. Biosignals of heart. Biosignals of brain. Biosignals of muscles. Organs of vision and their biosignals. Biosignals in hearing system. Speech signals and their coding. Archiving of medical information. Data reduction capabilities of biosignals at their transmission and recording. Compression of biosignals. The main tasks of automating of the analysis of biomedical information. Correlation processing methods. Spectral processing methods. Discrete and fast Fourier transform. Continuous and discrete wavelet transform and its application in the processing of biomedical information. Statistical methods for data processing with regard to biomedical features. Computer image processing in the tasks of biomedical diagnostics.
Assessment methods and criteria: Current control: laboratory reports, oral interviewing – 25 points. Final control: written and verbal testing; written part – 65 points, verbal part – 10 points.
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. Мурашко В.В., Струтынский А.В. Электрокардиография: Учебное пособие. – 4-е изд. – М.: МЕДпресс, 2000. – 312 с. 5. Сторчун Є.В., Романишин Ю.М., Іванов Л.П. Біофізичні основи інструментальної фізіотерапії. – Львів: Растр-7, 2014. – 318 с. 6. Календер В. Компьютерная томография. Основы, техника, качество изображений и области клинического использования. – М.: Техносфера, 2006. – 344 с. 7. Нейроматематика. Кн. 6: Учеб. пособие для вузов / Агеев А.Д., Балухто А.Н., Бычков А.В. и др.; Общая ред. А.И. Галушкина. – М.: ИПРЖР, 2002. – 448 с. 8. Цифрова обробка сигналів: навч. посібник / А.Й. Наконечний, Р.А. Наконечний, В.А. Павлиш. – Львів: Видавництво Львівської політехніки, 2010. – 368 с. 9. Яне Б. Цифровая обработка изображений. – М.: Техносфера, 2007. – 584 с. 10. Рудаков П.И., Сафонов И.В. Обработка сигналов и изображений. MATLAB 5.x. Под общей редакцией к.т.н. В.Г.Потемкина. – М.: ДИАЛОГ-МИФИ, 2000. – 416 с. - (Пакеты прикладных программ. Кн. 2). 11. Оппенгейм А., Шафер Р. Цифровая обработка сигналов. – М.: Техносфера, 2006. – 856 с. 12. Рангайян Р.М. Анализ биомедицинских сигналов. Практический подход. - М.: ФИЗМАТЛИТ, 2007. - 440с.