COURSE DESCRIPTION BIOMEDICAL SIGNALS YEAR 4 SEMESTER 2 BIOMEDICAL ENGINEERING MODALITY: ON CAMPUS ACADEMIC YEAR 2017/2018 POLYTECHNIC SCHOOL

Transcription

1 COURSE DESCRIPTION BIOMEDICAL SIGNALS YEAR 4 SEMESTER 2 BIOMEDICAL ENGINEERING MODALITY: ON CAMPUS ACADEMIC YEAR 2017/2018 POLYTECHNIC SCHOOL

2 1.- COURSE/SUBJECT: 1. COURSE/SUBJECT IDENTIFICATION Name: Biomedical signals : ibm409 Year (s) course is taught: 4 Semester (s) when the course is taught: 2 Type: Compulsory subject ECTS of the course: 3 Hours ECTS: 30 Language: English Modality: On campus Degree (s) in which the course is taught: Biomedical Engineering School which the course is taught: Polytechnic School 2.- ORGANIZATION OF THE COURSE: Department: Information technology Area of knowledge: Biomedical engineering 1.-LECTURERES: Lecturer(s) Name: 2. LECTURERS OF THE COURSE/SUBJECT Phone (ext): CONTACT Office: D TUTORIALS: Constantino Antonio García Martínez constantino.garciama@ceu.es For any queries students can contact lecturers by , phone or visiting their office during the teacher s tutorial times published on the students Virtual Campus. Attendance at tutorials implies the student s previous work to try to solve the question/s beforehand. Tutorials will never be used to repeat lectures that have already been explained in the classroom. It is every student responsibility to make catch up with the rest of the class by his/her own means. Moreover, the professor may propose some tutorials to the students in order to talk about different aspects of the course or to develop whatever activity related to it, even the evaluation ones. 3. COURSE DESCRIPTION 2

3 In this course the student will acquire the necessary skill to be able to understand what a biomedical signal is, how to work with them and the relationship between these signals and their possible physiological implications. To take this course it is advisable to have completed before the courses of digital signal processing. 1.- COMPETENCIES 4. COMPETENCIES BAS-3 BAS-5 CG-3 CG-4 CG-5 CG-6 CG-8 Basic and General Competencies Que los estudiantes tengan la capacidad de reunir e interpretar datos relevantes (normalmente dentro de su área de estudio) para emitir juicios que incluyan una reflexión sobre temas relevantes de índole social, científica o ética. BAS-5: Que los estudiantes hayan desarrollado aquellas habilidades de aprendizaje necesarias para emprender estudios posteriores con un alto grado de autonomía. Capacidad de planificación, gestión del tiempo y automotivación. Capacidad de comunicación interpersonal. Orientación a la calidad. Espíritu emprendedor e innovación. Actuar con honradez, veracidad, rigor, justicia, eficiencia y respeto. CT-5 Trasversal Competencies Capacidad para dominar un idioma extranjero (inglés). CE-40 Specific Competencies Conocer la relación entre las señales biomédicas adquiridas y sus implicaciones fisiológicas. 2.- LEARNING OUTCOMES: RA-1 RA-2 RA-3 Learning outcomes Understand the origin, meaning and interpretation of the biomedical signal and its relation with the underlying physiological processes. Apply and evaluate different methods for signal processing of the biomedical signals, both in time and in frequency. Be able to filter and detect events in biomedical signals. 3

4 5. LEARNING ACTIVITIES 1.- DISTRIBUTION OF STUDENTS` ASSIGNMENT: Total hours of the course 90 Name On-campus hours AF-1 Classes (theoretical-practical) 23 AF-2 Labs 20 TOTAL Presence Hours 43 Name Not oncampus hours AF-6 Self student work DESCRIPTION OF LEARNING ACTIVITIES: Activity AF1 Classes (theoretical-practical) AF2 Labs Definition Learning activity oriented to the competence of acquisition of knowledge, the reasoned interpretation of the and the resolution of exercises. This activity gives priority to the transmission of knowledge by the professor, with the previous preparation or later study from the student. Learning activity oriented preferably to the competence of application of knowledge, in a lab and supervised by the professor, it is representative of subjects with practical activities (labs, radio studies, TV studies and/or any other proper space). AF3 Mentoring AF6 Self student work Training activity outside the classroom that fosters independent learning, supported the action and guide of a tutor. Training activity outside or inside the classroom that fosters independent learning, individual or cooperative 4

5 6. ASSESMENT OF LEARNING 1.- CLASS ATTENDANCE: Class attendance is recorded on the student portal but is not evaluated. Justifications of absence will not be accepted. On the other hand, attendance at practice is required to evaluate this part of the subject in the continuous assessment. 2.- ASSESMENT SYSTEM AND CRITERIA: ORDINARY EXAMINATION (continuous assessment) Name Percentage Partial Test 15%* Final Test 25%* Course Projects 40%* Assessment of practical work 20% *To pass the course a mark of 5 or more is required both in projects and exams. RE-TAKE EXAM/EXTRAORDINARY EXAMINATION Name Percentage Exam 100% Activity Definition Weight SE-1 Written exam SE-2 Exposition of practical work Written exam theoretical-practical, with short, long, exercises or test questions. Exposition of practical work, can be written, oral or using the computer or any equipment % 20-30% SE-3 Portfolio Group of practical exercises (digital or physical) result of the practical work of the student % 5

6 7. COURSE PROGRAMME 1.- COURSE PROGRAMME: Introduction to biomedical signals Signal acquisition and common data formats Filtering, artifacts and noise removal Biomedical signal analysis: time and frequency Event detection on biomedical signals Toolkits and tools to analyze biomedical signals Case studies 8. RECOMMENDED READING 1.- ESSENTIAL BIBLIOGRAPHY: Rangayyan, R. (2002). Biomedical signal analysis : a case-study approach. Piscataway, NJ New York, N.Y: IEEE Press Wiley-Interscience. Tompkins, W. (1993). Biomedical digital signal processing : C-language examples and laboratory experiments for the IBM PC. Englewood Cliffs, N.J: Prentice Hall. So rnmo, L. & Laguna, P. (2005). Bioelectrical signal processing in cardiac and neurological applications. Amsterdam Boston: Elsevier Academic Press. 2.- ADDITIONAL BIBLIOGRAPHY: lak, K. & Zygierewicz, J. (2012). Practical biomedical signal analysis using MATLAB. Boca Raton, FL: CRC Press. Oppenheim, A. & Schafer, R. (2010). Discrete-time signal processing. Upper Saddle River: Pearson. Proakis, J. & Manolakis, D. (1996). Digital signal processing : principles, algorithms, and applications. Upper Saddle River, N.J: Prentice Hall. Oppenheim, A., Willsky, A. & Nawab, S. (1997). Signals & systems. Upper Saddle River, N.J: Prentice Hall. 4.- WEB RESOURCES : Virtual Campus 1.- REGULATIONS 9. ATTITUDE IN THE CLASSROOM Any irregular act of academic integrity (no reference to cited sources, plagiarism of work or inappropriate use of prohibited information during examinations) or signing the attendance sheet for fellow students not present in class will result in the student not being eligible for continuous assessment and possibly being penalized according to the University regulations. 6