450-2082/01 – Virtual Bioinstrumentation (VBI)
| Gurantor department | Department of Cybernetics and Biomedical Engineering | Credits | 4 |
| Subject guarantor | prof. Ing. Radek Martinek, Ph.D. | Subject version guarantor | prof. Ing. Radek Martinek, Ph.D. |
| Study level | undergraduate or graduate | Requirement | Compulsory |
| Year | 2 | Semester | summer |
| | Study language | Czech |
| Year of introduction | 2019/2020 | Year of cancellation | |
| Intended for the faculties | FEI | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
The aim of the course is to introduce students to the elementary possibilities of the LabVIEW development environment as an advanced tool for the creation of modern biomedical applications based on Virtual Instrumentation (VI).
After this course, the student will be able to use the fundamentals of graphically oriented programming in LabVIEW to create complex biomedical applications and utilize the software for variety of tasks of biomedical engineering. In addition, he/she will be able to design a graphical user interface for a modern multiplatform biomedical applications and apply the basic programming techniques for block diagram development (WHILE loop, FOR loop, CASE structure, sequence, subprogram (subVI) development, biomedical data storage and loading, biomedical data visualization, VI timing, shift register, MATLAB Scrip Node, etc.). Student will be able to work with one-dimensional biomedical signals such as ECG, PCG, EEG, etc., and will learn to work with DAQ (Data Acquisition, measuring cards - collecting real data from biomedical sensors).
The subject reflects the requirements the needs for LabVIEW Core 1 and Core 2 skills. The course prepare for the Certified LabVIEW Associate Developer (CLAD) certification exam. The internationally recognized CLAD certificate declares the first level knowledge and experience in the field of Virtual Instrumentation, LabVIEW.
Teaching methods
Lectures
Individual consultations
Experimental work in labs
Summary
The subject Virtual Bioinstrumentation reflects the current trends in software and hardware used in modern biomedical applications are focused on the virtual instrumentation using the LabVIEW development environment
Compulsory literature:
[1] Introduction to LabVIEW, National Instruments (2017), NI Home > Support > Getting Started with NI Products > Learn NI LabVIEW Basics, LabVIEW Core 1 Training - online, LabVIEW Core 2 Training - online.
[2] Olansen, J. B., & Rosow, E. (2001). Virtual bio-instrumentation: biomedical, clinical, and healthcare applications in LabVIEW. Pearson Education
Recommended literature:
[1] Olansen, J. B., & Rosow, E. (2001). Virtual bio-instrumentation: biomedical, clinical, and healthcare applications in LabVIEW. Pearson Education.
[2] Bishop, R. H. (2014). Learning with labview. Prentice Hall.
[3] Rangayyan, R. M. (2015). Biomedical signal analysis (Vol. 33). John Wiley & Sons.
Additional study materials
Way of continuous check of knowledge in the course of semester
Credit (submission of a semester project) and exam (combined).
Scope of attendance: minimum 80% attendance of the classes.
E-learning
Other requirements
There are no additional requirements for the student.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Lectures:
1. LabVIEW development environment as a modern tool for the development of biomedical applications based on virtual instrumentation (VI).
2. The philosophy of the LabVIEW development environment and its use in biomedical applications, definition of basic principles (graphically oriented programming, data flow principle, etc.).
3. Design of the user interface of a modern multiplatform biomedical application - front panel (front panel elements, tool palette, connector and icon, etc.).
4. Block diagram development for modern biomedical applications - controls, indications, constants, terminals, nodes, palette Functions, etc.
5. LabVIEW basic program structures - WHILE loop, FOR loop, CASE structure, sequence.
6. Timing a VI, shift register, MATLAB Scrip Node, debugging tools, help and documentation.
7. Modular applications - subprograms (subVI) development.
8. Data structures (field and cluster) - working with one-dimensional biomedical signals (ECG, PCG, EEG, etc.).
9. Biomedical Data Visualization in time, frequency, and time-frequency domains (static indicators, registration indicators, etc.).
10. Storage and retrieval of biomedical signals (one-dimensional and multi-dimensional).
11. Generation and analysis of biological signals (ECG, EEG, etc.) based on virtual instrumentation.
12. Biomedical Workbench - loading, processing, visualization, and detection of real data from biomedical sensors (ECG, PCG, etc.)
13. Working with DAQ (Data Acquisition, measuring cards for collecting real data from biomedical sensors).
14. Design of a complex biomedical application.
Labs
1. Design and development of a block diagram and front panel of a biomedical application using basic features (controls, indications, decorative elements, data types, controls palette, toolbar, block digest objects, connector, terminal, tool palette, data flow).
2. Design and development of a user interface for modern multiplatform biomedical application (data types, data representation).
3. Implementation of the biomedical application block diagram, part 1 (sub-diagram, data tunnel, WHILE and FOR loops, casting, timing, shift register, feedback node, CASE structure, sequence, data dependence, formula, expression node).
4. Implementation of the biomedical application block diagram, part 2 (subdigram, data tunnel, WHILE and FOR loop, casting, timing, shift register, feedback node, CASE structure, sequence, data dependence, formula, expression node).
5. Using the expression functions for the rapid prototyping of biomedical applications (direction, processing and visualization of biomedical data).
6. Biomedical application debugging (context help, syntactic and semantic error, run highlighting, single setup, probe, breakpoint, revision history, error cluster).
7. Working with biomedical signals data structures (field, dimension, index, cluster, type definition).
8. Visualization of biomedical data such as ECG, PKG, EEG, etc. (registration, static and XY graph, dynamic data type).
9. Storage and retrieval of biomedical data (at once, disk streaming, spreadsheet, formatting, scanning, formatting strings, scanning strings, regular expression, metainformation).
10. Generating and analyzing biological signals (ECG, EEG, etc.), using the LabVIEW Biomedical Toolkit.
11. Work with Biomedical Workbench - retrieval, processing, visualization and detection of real data from biomedical sensors (ECG, PCG, etc.)
12. Working with with DAQ (Data Acquisition, measuring cards for collecting real data from biomedical sensors).
13. Design of a complex biomedical application - part 1.
14. Design of a complex biomedical application - part 2.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction