ISLA Santarém 26702

Biomedical Sensors

• ApresentaçãoPresentation

    
• ProgramaProgramme

  1 Introd. to Biomedical Sensors 1.1 Defin.and importance of BS 1.2 Classific. of BS 1.3 Health and bioengineering applications 2. Principles of Signal Transduction 2.1 Transduction of electrical, optical and mechanical signals 2.2 Passive vs. active sensors 2.3 Sensitivity, precision and linearity characteristics 3. Biomaterials in SB 3.1 Properties of biomaterials used in BS 3.2 Biocompatibility and biodegradability 3.3 Selection of biomaterials for specific applications 4. SB Manufacturing Methods 4.1 Techn. for manufacturing thin film sensors 4.2 Microfabrication of sensors on a micro and nanometre scale 4.3 3D printing and additive manufacturing techniques 5. Clinical applications of SB 5.1 Monitoring vital signs 5.2 Diagnosis of chronic and acute diseases 5.3 Implantable sensors and medical devices 6. Practical development of SB 6.1 SB design and construction 6.2 Performance testing and sensor calibration 6.3 Analysing data and interpreting results
• ObjectivosObjectives

  The course covers the fundamental principles of biomedical sensors, including signal transduction techniques, characteristics of the biomaterials used, manufacturing methods and clinical applications. The different types of sensors used in medical diagnosis, health monitoring and therapeutic interventions will be discussed. The learning objectives are: O1. Understand the relevance of biomedical sensors O2. Understand the principles of signal transduction in biomedical sensors O3. Analyse the characteristics of biomaterials used in the manufacture of biomedical sensors  O4. Explore the methods of manufacturing biomedical sensors. O5. Investigate the clinical applications of biomedical sensors. O6. Develop practical skills in the construction and testing of biomedical sensors O7. Communication skills, teamwork and building arguments in defence of solutions found.  
• BibliografiaBibliography

  Sandro Carrara, Krzysztof Iniewski, (2015). Handbook of Bioelectronics: Directly Interfacing Electronics and Biological Systems. Cambridge University Press. Ahmed Barhoum (2022); Advanced Sensor Technology Biomedical, Environmental, and Construction Applications; Elsevier - Health Sciences Division. Ayan Kumar Panja, Amartya Mukherjee, Nilanjan Dey, (2022); Biomedical Sensors and Smart Sensing: A Beginner's Guide; Elsevier Science. Z Altintas (2018). Biosensors and Nanotechnology: Applications in Health Care Diagnostics; Wiley-Blackwell Artigos científicos recentes, designadamente da Revista Biosensors & Bioelectronics da ED. Elsevier ou da Revista Biosensors da Ed. MDPI
• MetodologiaMethodology

  The classes are primarily developed using the following methodologies: Synchronous (distance): MET 1. - Use of expository methodology for presenting concepts and content, complemented with interrogative and demonstrative methods to consolidate this content. In-person: MET 2. - Active methodologies, including cooperative learning, peer learning, case studies, and Project-Based Learning, where students are encouraged to carry out individual or group projects involving the development of biomedical sensors and their application to real-world health problems. Autonomous: MET 3. - Various educational resources (videos, links, apps, handouts, exercises and applications, instructor notes, etc.) are made available on the Moodle platform. The instructor provides feedback (Tutorial Guidance - OT) on the development of projects, either in person during classroom sessions or through the Moodle platform. 
• LínguaLanguage

  Português
• TipoType

  Semestral
• ECTS

  5
• NaturezaNature

  Optional
• EstágioInternship

  Não
• AvaliaçãoEvaluation

  Avaliação Curricular (contínua (presencial):
  Esta modalidade de avaliação é constituída por:
  AVAL 1. Participação ativa nos exercícios e questionários das aulas.
  AVAL 2. Apresentação do Trabalho prático em grupo (relatório e apresentação oral). AVAL 3. Teste final teórico/prático.
  A classificação final é calculada através da fórmula Classificação Final = 0,2*AVAL 1+0,4*AVAL 2 + 0,4 *AVAL 3. O estudante é aprovado se obtiver classificação igual ou superior a 9,5 valores.

  Avaliação Final (presencial) - A: O estudante realiza o exame teórico-prático (100%) e é aprovado se obtiver uma classificação igual ou superior a 9,5 valores em 20.
  Época de Recurso e Época Especial (presencial) - A: O estudante realiza o exame teórico-prático (100%) e fica aprovado se obtiver uma classificação igual ou superior a 9,5 valores em 20.