Checking date: 03/04/2019

Course: 2019/2020

Control and automation applications in biomedicine
Study: Bachelor in Industrial Electronics and Automation Engineering (223)

Coordinating teacher: MORENO LORENTE, LUIS ENRIQUE

Department assigned to the subject: Department of Systems Engineering and Automation

Type: Electives
ECTS Credits: 6.0 ECTS


Competences and skills that will be acquired and learning results. Further information on this link
The aim of this course is that the student knows different applications automatically in the medical field. robots for surgery, prosthetics and orthotics for lower and upper limbs be studied in particular. aspects of these robotic control systems that interact with the human body and the different strategies used (impedance and admittance controls) as well as different types of sensors and actuators are addressed. brain-computer interfaces (BCI) and different types of applications where these types of interfaces are used will also be explored. Different types of sensing techniques can be seen to capture information from the nervous system. pacemakers, ventricular assist systems and artificial hearts: Finally the study of cardiac support systems will be addressed. To achieve these objectives, the student must acquire a range of knowledge and skills. As regards knowledge, the end of the course the student will be able to: 1. Understand the operation of robotic surgery systems. 2. Understand the operation of Prosthetics and Orthotics upper and lower limb. 3. Understand the operation of the exoskeletons. 4. Understand the systems and control strategies used in these systems .. 5. Understand the operation of the actuators and sensors used in prostheses, orthoses and exoskeletons. 6. Understand the functioning of brain interfaces based systems. As for general skills or skills during the course they will work: ¿Overview of the problem of control of a linear dynamic system both based on the transfer function and state-space techniques. ¿Ability to design controllers for linear dynamic systems, as well as to analyze and interpret the results. This capability is especially work in the labs and in the resolution and discussion of case studies. Capacity for team work cooperatively, critical and respectful of the solutions proposed by others, creative and responsible as a member of a team, to make the designs considered, distributing the workload to tackle complex problems. This capability will work in both practices laboratory, to be held in equipment such as in solving exercises, discussions and tutorials that may also have group character. ¿Recognition of the need for continuous learning and the ability to obtain and apply required lainformación accessing technical literature related to the scope of the subject both inEnglish and English. Ability to access the information required to know the details of a particular configuration. ¿Ability to communicate effectively both orally, written or graphic in both Spanish and English throughout the development of the activities proposed in the course (exercises, discussions, practices, etc.)
Description of contents: programme
The program is splitted as follows: 1. Robotic surgery systems. 1.1 Introduction 1.2 Minimally Invasive Surgery. 1.3 Laparoscopic robots 1.4 Elements and console terminals teleoperación 1.5 Haptic interfaces and control aspects. 2. Prosthetics and orthotics of upper limbs. 2.1 Exoskeletons and Prosthetics for hand 2.2 Prostheses and exoskeletons for elbow and wrist 3. Prosthetics and orthotics for lower limbs. 3.1 Prosthetics and orthotics for foot and ankle AFO 3.2 Prosthetics and orthotics for knee 3.3 Prosthetics and orthotics for knee, ankle and foot KAFO 4. Exoskeletons. 4.1 Exoskeletons for lower member 4.2 Exoskeletons for upper member 5. Control strategies: 5.1 Motion Control: speed and position control. 5.2 Force Control: force control, impedance control and control of admittance. 6. Actuators and sensors used in prosthetics, orthotics and exoskeletons. 7. Computer brain interfaces. 7.1 EEG, ECOG and implantable systems. 7.2 Analysis of the response. 8. Support systems for surgery. 8.1 Robots for neurosurgery, 8.2 Robots for traumatology, 8.3 Planners operations, 8.4 Robots for rehabilitation, robotic instruments, micro-robots.
Learning activities and methodology
The activities carried out in the teaching of the subject are: Lectures. Presentation of the main concepts. Discussion and clarification of doubts about the concepts. It will work on transparencies that will be given to students to facilitate learning in addition to a text or basic reference texts on the subject required. Classes practical exercises. Sessions in which problems arise and let students into groups to raise their solutions. Laboratories. The students (in teams of 2 or 3) they propose a practical case studies, should study and then make the simulation data and analysis. knowledge of the topics covered in lectures and practical classes in the subject will be used. a previous study will, will work in the laboratory and then a written report with the results and proposed solutions will be delivered.
Assessment System
  • % end-of-term-examination 0
  • % of continuous assessment (assigments, laboratory, practicals...) 100
Basic Bibliography
  • Wearable Robots: Biomechatronic Exoskeletons . Edited by Jose L. Pons. John Wiley and sons . 2008
Additional Bibliography
  • Ernesto Carlos Martinez-Villalpando,. Design and evaluation of a biomimetic agonist antagonist active knee prosthesis,. Phd Thesis MIT,. 2007.
  • Samuel Kwok-Wai Au, . Powered ankle foot prosteses for theimprovement-of-amputee-walking-economy,. Phd Thesis MIT,. 2007.
  • Ulrich Hoffmann, . Bayesian Machine Learning Applied in a Brain-Computer Interface for Disabled Users, . Phd Thesis EPFL,. 2007.

The course syllabus and the academic weekly planning may change due academic events or other reasons.