1. Basic concepts on biomedical instrumentation
1.1. Design cycle protocol
1.2. Regulations and marking
2. Electrical safety
2.1. Physiological Effects of Electricity
2.2. Concept of "ground" in biomedical instruments
2.3. Isolated instruments and batteries
3. Origin of Biopotentials. Techniques to record Biopotentials
3.1. Principles of bioelectricity
3.2. Transmembrane Action Potential
3.3. Transmembrane Resting Potential
3.4. Ion Channels, Pumps and Exchangers
4. Electrocardiology. ECG characteristics
4.1. Anatomy and Physiology of the Heart
4.2. Electrophysiological Cardiac Behavior
4.3. Cardiac Transmembrane Action Potential
4.4. The electrocardiogram (ECG)
4.5. Diagnosis based on the ECG
4.6. Recording the ECG
4.7. Invasive Cardiac Mapping Instruments
5. Signal amplification
5.1. Operational Amplifiers and applications
5.2. Output and Input Impedance
5.3. Instrumentation amplifiers
6. Signal filtering
6.1. Frequency domain
6.2. Ideal Filters
6.3. Dealing with the Noise
6.4. Passive Analog Filters
6.5. Active Analog Filters
7. Electrodes and Electrolytes
7.1. Oxidation and reduction
7.2. Polarizable and Nonpolarizable Electrodes
7.3. Electrode Behavior and Circuit Models
8. Sensors: biophysics, design, applications
8.1. Resistive sensors
8.2. Capacitive sensors
8.3. Piezoelectric Sensors
8.4. Thermocouples
8.5. Wheatstone Bridge
9. Electroencephalogram and Magnetroencephalogram
9.1. Action potentials in Neurons
9.2. Electric and Magnetic Fields in the brain
9.3. Electroencephalography (EEG)
9.4. Magnetoencephalography: MEG
9.5. EEG and MEG signals and applications
10. Electromyogram, electroneurogram, electrooculogram and electroretinogram
10.1. Electromyogram (EMG): Principles, instrumentation and applications
10.2. Electroneurogram (ENG): Principles, instrumentation and applications
10.3. Electrooculogram (EOG): Principles, instrumentation and applications
10.4. Electroretinogram (ERG): Principles, instrumentation and applications
11. Implantable devices
11.1. Cardiac Pacemakers
11.2. Brain Pacemakers
11.3. Defibrillators.
12. Optical and light based measurement system
12.1. Basis of Light Propagation in Tissues
12.2. Light Scattering
12.3. Light Absorption
12.4. Optical Contrast Agents
13. Introduction to Digital Signal Processing
13.1. Analog-to-digital converter
13.2. Digital Frequency
13.3. Digital Filtering
13.4. Changing sampling rate
13.5. Spectral estimation
14. Applications of Digital Signal Processing
14.1. Preprocessing signals
14.2. Automatic detection of events
14.3. Classification of events
14.4. Nonlinear analysis of a sequence of events
15. Biomedical signal acquisition and processing with LabView and Matlab
15.1. Data structures and analysis
15.2. LabVIEW environment
15.3. Data acquisition with LabVIEW
15.3.Data acquisition with Matlab