In order to pass the subject it is essential to pass both the assignments and the laboratory practices with a minimum grade of 50% in each assignment.

The grading system will be expressed by numerical grade according to the established in art. 5 of the Royal Decree 1125/2003 of September 5 (BOE September 18), which establishes the European credit system and the grading system in university degrees of official character and valid throughout the national territory Grading system: 0-4.9=Failure 5-6.9=Passed 7-8.9=Good 9-10=Outstanding 9-10 Honors.

If the student does not pass the course at the first opportunity, the same work must be handed in at the second opportunity, contacting the professor beforehand to evaluate the particular situation.

The teacher responsible for the subject will apply the corresponding regulations of the UDC when detecting any attempt of plagiarism motivated by a student of the subject in the development of his/her work. The fraudulent performance of the tests or evaluation activities will directly imply the grade of failure '0' in the subject in the corresponding call, thus invalidating any grade obtained in all evaluation activities in the extraordinary call.

Learning outcomes	Study programme competences
To know basic aspects of bioengineering and fields of action.	AJ3 AJ6 AJ7	BJ7
To know the current biometric systems, standard protocols and communications with this type of non-invasive devices in the field of health.	AJ3 AJ6 AJ7	BJ8	CJ1
To know how to select the appropriate type of sensor for each type of research project in the field of health sciences.	AJ3 AJ6 AJ7	BJ8	CJ1
To know how to acquire, analyze and interpret data from non-invasive sensors.	AJ7	BJ1 BJ2 BJ5 BJ6 BJ7 BJ8	CJ8
To know the basics of telemedicine and examples of performance.	AJ7	BJ1 BJ2 BJ5 BJ6	CJ8
To know how to identify the technological requirements for the deployment of telemedicine projects.	AJ3 AJ6 AJ7		CJ2 CJ3 CJ6 CJ8

Topic	Sub-topic
Biomechanical engineering	Introduction to the biomechanics. Foundations and fields of work
Sensorization	The participatory health. The monitoring in the field of the biomedicine
Telemedicina	Applications of the sensors no invasivos in projects of health. Telemonitorization. Teleradiology. Example of access to PACS

Methodologies / tests	Competencies	Ordinary class hours	Student’s personal work hours	Total hours
Supervised projects	A3 A6 A7 B1 B2 B5 B6 B7 B8 C1 C2 C3 C6 C8	5	18	23
ICT practicals	A3 A6 A7 B1 B2 B5 B6 B7 B8 C1 C2 C3 C6 C8	6	24	30
Laboratory practice	A7 B1 B8 C8	3	0	3
Guest lecture / keynote speech	A3 A6 A7 B1 B2 C3 C6 C8	7	7	14

Personalized attention		5	0	5

(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies	Description
Supervised projects	Will carry out diverse practical works to put in practice the theoretical contents exposed in the face-to-face classes.
ICT practicals	Practices to realise during the classes
Laboratory practice	Visit to a experimental animal laboratory
Guest lecture / keynote speech	Classes of theory that base the practices of the subject

Methodologies	Competencies	Description	Qualification
Supervised projects	A3 A6 A7 B1 B2 B5 B6 B7 B8 C1 C2 C3 C6 C8	Works done by groups for the application of the theoretical contents	90
Laboratory practice	A7 B1 B8 C8	Attendance and submision of the notebook data collection	10

Assessment comments
In order to pass the subject it is essential to pass both the assignments and the laboratory practices with a minimum grade of 50% in each assignment. The grading system will be expressed by numerical grade according to the established in art. 5 of the Royal Decree 1125/2003 of September 5 (BOE September 18), which establishes the European credit system and the grading system in university degrees of official character and valid throughout the national territory Grading system: 0-4.9=Failure 5-6.9=Passed 7-8.9=Good 9-10=Outstanding 9-10 Honors. If the student does not pass the course at the first opportunity, the same work must be handed in at the second opportunity, contacting the professor beforehand to evaluate the particular situation. The teacher responsible for the subject will apply the corresponding regulations of the UDC when detecting any attempt of plagiarism motivated by a student of the subject in the development of his/her work. The fraudulent performance of the tests or evaluation activities will directly imply the grade of failure '0' in the subject in the corresponding call, thus invalidating any grade obtained in all evaluation activities in the extraordinary call.

Basic	NEMA: National Electrical Manufacturers Association (2022). DICOM. Digital Imaging and Communications in Medicine. Web: http://dicom.nema.org/ Lazakidou, Athina A. et al (2009). Handbook of research on distributed medical informatics and e-health . Hershey, PA : Medical Information Science Reference deBronkart, Dave (2011). Libro Blanco de los e-Pacientes en Español. Disponible en: https://participatorymedicine.org/epatients/2011/11/wp-espanol.html Fawcett Tom (2015). Mining the Quantified Self: Personal Knowledge Discovery as a Challenge for Data Science . Big Data. January 2016, 3(4): 249-266 Project-redcap.org. (). Redcap (Research Electronic Data Capture). Vanderbilt University Society of Participatory Medicine (2022). Society of Participatory Medicine. Web: https://participatorymedicine.org/

Complementary

Other comments