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Medical Instrumentation and Devices Course Overview
OVERVIEW
CEA CAPA Partner Institution: Universidad Carlos III de Madrid
Location: Madrid, Spain
Primary Subject Area: Biomedical Engineering
Instruction in: English
Course Code: 15563
Transcript Source: Partner Institution
Course Details: Level 400
Recommended Semester Credits: 3
Contact Hours: 42
Prerequisites: Mandatory:
- Introduction to the design of biomedical instrumentation
- Electronic technology in biomedicine
- Measuring Instrumentation
- Systems and Signals
- Control Engineering
Recomended
- Physics I, II and III
- Differential Equations
- Robotics
DESCRIPTION
The program will cover descriptions, analysis and study cases related to medical devices, instruments and signal processing for application like the ECG and the EEG, light sensors for biomedical instrumentation, advanced electronics for laboratory instrumentation, diagnose and therapy, prosthesis, image-assisted treatment and therapy monitoring in real time, mathematical and computational models to aid diagnosis and to assist surgical devices with real time control and expert systems for image guided interventions among other. This is the specific syllabus implementation:
1. Introduction a. Biomedical instrumentation b. PoC for primary care review c. Radiation Detectors and semiconductor light detectors 2. Applications in Cardiology a. ECG basic electronics b. ECG signal processing fundamentals c. ECG monitor design 3. Application in Neurology a. EEG b. EEG analysis c. Brain hacking 4. Hearing aids a. Hearing aids b. Cochlear implants c. Audio Processing d. Speech Processing 5. Monitoring and respirators a. Pulsioxymetry b. Respirators 6. Image Guided Interventions a. Image Guided Interventions and tracking systems b. Patient to image registration c. Point-based Rigid registration 7. Therapeutic devices: Radiotherapy a. Intro to External Radiotherapy b. Radiotherapy c. Linear Accelerator 8. Surgical Robots a. Computer- and robot-assisted medical interventions b. Review of surgical robots for spinal interventions 9. Laboratory Practices a. ECG Processing using Matlab: ECG data analysis, ECG acquisition with the NI environment ECG signal processing b. Radiation detector c. Image Guided Interventions 10. Final system design
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