Mobile Computing in Biomedical Engineering

Code:

M.BIO005

Acronym:

CMEB

Keywords
Classification	Keyword
OFICIAL	Biomedical Engineering

Instance: 2023/2024 - 1S

Active?	Yes
Responsible unit:	Department of Electrical and Computer Engineering
Course/CS Responsible:	Master in Bioengineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
M.BIO	17	Syllabus	1	-	6	39	162
			2
MEB	11	Syllabus	1	-	6	39	162
			2

Teaching language

Suitable for English-speaking students

Objectives

The main objectives of this curricular unit is centered in the knowledge acquisition in system architecture of mobile devices (focused in smartphones) and their operating systems, programming and interaction concepts and mechanisms with other devices such as medical equipment. This is an introdutory course in the above area.

Learning outcomes and competences

Introductory concepts to mobile devices architecture and operationg systems.
Mobile devices programming.
Mobile human-computer interaction and interface design.
Mobile devices and other devices interaction design and implementation.
Design and implementation of mobile apps and systems.

 

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

JAVA programming language.

Program

. Introduction
   Mobility and computation – Historic perspective
   Mobile devices
   Mobile, nomadic and ubiquitos computing
   M-health: introductory concepts

 . Introduction to mobile devices programming
   Mobile operating systems
   Mobile networks and communication among devices
   Android: introduction, architecture and APIs
   User interaction
   Android JAVA programming
   Access to remote services and systems

 . Mobile devices and computing for biomedical systems
   Interface with biomedical sensors and actuators
   Wearable systems for biomedical applications
   Other examples of biomedical applied mobile systems

 . Small-project of apps for biomedical engineering

Mandatory literature

Dave MacLean, Satya Komatineni, Grant Allen; Pro Android 5, Apress, 2015. ISBN: 978-1-4302-4680-0 (development of applications in Android OS (includes v. 5))
Jeff Friesen; Learn Java for Android Development, 3rd Edition, Apress, 2015. ISBN: 978-1-4302-6454-5 (Learn Java specially for Android aplication development)
Uwe Hansmann, ...[et al.]; Pervasive computing. ISBN: 978-3-540-00218-5

Complementary Bibliography

Sauter Daniel; Rapid android development. ISBN: 978-1-93778-506-2 (basic Android application development, using tutorials)
Bruce Eckel; Thinking in Java. ISBN: 978-0-13-187248-6
ed. Robert S. H. Istepanian, Swamy Laxminarayan, Constantinos S. Pattichis; M-Health. ISBN: 0-387-26559-7
ed. Annalisa Bonfiglio, Danilo De Rossi; Wearable monitoring system. ISBN: 978-1-4419-7383-2

Teaching methods and learning activities

Theoretic concepts presentation; examples and exercises.
Lab development of small mobile systems and apps (lab works + 1 project).

Software

Visual Paradigm UML - Community Edition
Pencil GUI Design Tool
Android Studio

keywords

Technological sciences > Technology > Internet technology
Technological sciences > Technology > Computer technology > Software technology

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	40,00
Trabalho laboratorial	10,00
Trabalho prático ou de projeto	50,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Elaboração de projeto	20,00
Estudo autónomo	32,00
Frequência das aulas	52,00
Trabalho laboratorial	58,00
Total:	162,00

Eligibility for exams

Minimum rank to all evaluation components = 7/20.

Calculation formula of final grade

Evaluation: 0.1lab + 0.5Proj + 0.4Ex

lab-lab work report
proj- project
Ex- exam

Special assessment (TE, DA, ...)

lab-work and project mandatory during the semester.

Observations

In the Evaluation formula, "lab" includes all the student involvement in the lab work (active participation, work reports, etc.).
The course is designed for a 20 student class. More students enroled may mean changes in the program and less pedagogic impact.