Teaching Guide EMBEDDED SYSTEMS IN BIOMEDICINE 1ST YEAR, 2ND SEMESTER MASTER EN ING. BIOMÉDICA MODALITY: ON CAMPUS ACADEMIC YEAR 2020-2021 ESCUELA ...
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Teaching Guide EMBEDDED SYSTEMS IN BIOMEDICINE 1ST YEAR, 2ND SEMESTER MASTER EN ING. BIOMÉDICA MODALITY: ON CAMPUS ACADEMIC YEAR 2020-2021 ESCUELA POLITÉCNICA SUPERIOR
Guía Docente / Curso 2020-2021
1. COURSE/SUBJECT INFORMATION
1.- SUBJECT:
Title: Embedded Systems in Biomedicine
Code:
Academic year: 1st Semester: 2nd
Type: Optional ECTS: 2.5
Language: English Modality: On campus
Master: Ing. Biomédica
Faculty/School: Escuela Politécnica Superior
2.- COURSE ORGANIZATION:
Department: Tecnologías de la Información
Knowledge area: Electronic Technology
2. LECTURES OF THE COURSE
1.- FACULTY INFORMATION:
Responsible CONTACT INFO
Name: Gabriel Caffarena Fernández
Tlfno (ext): 14622
Email: gabriel.caffarena@ceu.es
Office: D.2.3.1
Academic and research profile Electronics and Signal Processing
Research lines: Design of embedded and reconfigurable systems for digital
biomedical signal processing, hardware acceleration of
scientific applications
Professors CONTACT INFORMATION
Name: Ruzica Jevtic
Tlfno (ext): 14622
Email: ruzica.jectiv@ceu.es
Office: D.2.3.1
2Guía Docente / Curso 2020-2021
2.- TUTORIALS:
For any queries, students can contact lecturers by e-mail, phone or visit their office during the
teacher’s tutorial times published on the students’ Virtual Campus.
Also, the professor could summon the student to see to any aspect of the course or any activity part
of the evaluation of the subject.
3. COURSE DESCRIPTION
An embedded system integrates in a single chip a CPU (micro-controller unit), RAM memory and
ROM (flash), as well as different modules to communicate with external digital and analog
peripherals. This course focuses on biomedical applications that interact with sensors, paying special
attention to low-power and low-cost implementations. An embedded operating system will be used in
both theory and practical lessons, and other important issues, such as the physical design of
wearable and reconfigurable systems, or communication protocols to transmit data or communicate
with advanced sensors, will be addressed.
4. COMPETENCIES
1.- COMPETENCIES:
CE01, CE02, CE09.
Code Basic competencies
Poseer y comprender conocimientos que aporten una base u oportunidad de ser
CB6 originales en el desarrollo y/o aplicación de ideas, a menudo en un contexto de
investigación.
Que los estudiantes sepan aplicar los conocimientos adquiridos y su capacidad de
CB7 resolución de problemas en entornos nuevos o poco conocidos dentro de contextos
más amplios (o multidisciplinares) relacionados con su área de estudio.
Que los estudiantes sepan comunicar sus conclusiones y los conocimientos y razones
CB9 últimas que las sustentan a públicos especializados y no especializados de un modo
claro y sin ambigüedades.
Que los estudiantes posean las habilidades de aprendizaje que les permitan continuar
CB10
estudiando de un modo que habrá de ser en gran medida auto dirigido o autónomo.
Code Specific comptentcies
Aplicar herramientas avanzadas de la ingeniería, las matemáticas y la física en la
CE01
resolución de problemas biomédicos.
CE09 Diseñar soluciones robóticas aplicadas a problemas médicos
Code Optional competencies
3Guía Docente / Curso 2020-2021
CO02 Diseñar dispositivos de caracterización de movimiento y de asistencia a la
discapacidad.
Code General competencies
CG1 Capacidad para el pensamiento analítico y crítico.
CG2 Capacidad de planificación, gestión del tiempo y automotivación.
2.- LEARNING OUTCOMES:
Learning outcomes
LO1. Knowing and understanding the embedded systems applied to biomedical problems
5. LEARNING ACTIVITIES
1.- STUDENT’S WORKLOAD DISTRIBUTION:
Total Hours of the Course 75
Code Name Horas
Presenciales
AF-1 Lecture 6
AF-2 Seminar of exercises-problems 14
AF-3 Practice 10
TOTAL Presence hours 30
Code Name Not On-
Campus
Hours
AF-5 Student self-work 45
2.- DESCRIPTION OF LEARNING ACTIVITIES (AF):
Activity Definition
AF-1 Lecture
AF-2 Seminars where the interaction with the student is promoted.
AF-3 Seminar oriented to the resolution of exercises and problem.
AF-5 Student self-work
6. ASSESMENT SYSTEM AND CRITERIA
1.- ASSESMENT SYSTEM AND CRITERIA:
4Guía Docente / Curso 2020-2021
ORDINARY EXAM. CONTINUOUS ASSESMENT:
The student must show a minimum level of knowledge in all the learning outcomes in the final
exam.
The student must obtain a grade in the final exam no smaller tan al 4.0 in order to have as
final grade the average with the practical sessions. The percentages associates with each
activity are:
ORDINATY EXAMINATION (continuous assessment)
Name Percentage
Tests (S1) 20%
Final exam (S1) 30%
Practical sessions (S2) 50%
Written assessments as essays or multiple-choice test sor
S1 Written assessments true-false tests, element matching, problema solving, etc.
Projects, reports and lab Elaboration and presentation (written and/or oral) of technical
S2
logs projects and labs.
.
EXTRAORDINARY EXAMINATION:
The student that not pass the ordinary examination will have the chance to carry out the extraordinaty
examination. This examination will be conformed by a single exam that will determine the final grade
of the course with disregard of the academic performance in the ordinary examination. In the same
line as in the first examination, the student must reach the minimum established level for each learning
outcome.
7. COURSE PROGRAMME
1.- COURSE PROGRAMME:
THEORY PROGRAMME:
1. Real-time operating systems for embedded systems.
2. Design and prototyping of embedded systems for biomedicine.
3. Wearable and reconfigurable systems.
4. Interaction with biomedical devices.
PRACTICAL WORK PROGRAMME:
1. Design of a platform based on a microcontroller to acquire and process signal for a wearable system
8. RECOMMENDED READING
1.- ESSENTIAL BIBLIOGRAPHY:
“The definitive guide to ARM® Cortex®-M0 and Cortex-M0+ Processors “, Joseph Yiu, Newnes, 2015
“Embedded hardware”, Jack Ganssle, Elsevier, 2008
5Guía Docente / Curso 2020-2021
“Embedded software”, Gene Lebrosse, Elsevier, 2008
2.- ADDITIONAL BIBLIOGRAPHY:
“Modern operating systems”, Andrew Tanenbaum, Pearson 2015
“Medical devices and systems”, Joseph Bronzino, Taylor and Francis, 2006
4.- WEB RESOURCES:
www.arm.com
9. ATTITUDE IN THE CLASSROOM
1.- REGULATIONS:
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.
Once the exam calendar has been announced in the due time and to guarantee the same
conditions for all the students, no exam will be re-taken unless there are some special
circumstances.
Failing to hand the assignments on time will lead to a penalty in the grading.
10. EXCEPTIONAL MEASURES
Should an exceptional situation occur which prevents continuing with face-to-face teaching
under the conditions previously established to this end, the University will take appropriate
decisions and adopt the necessary measures to guarantee the acquisition of skills and
attainment of learning outcomes as established in this Course Unit Guide. This will be done in
accordance with the teaching coordination mechanisms included in the Internal Quality
Assurance System of each degree.
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