| Educational guide School of Engineering |
english |
| Biomedical Data Science (2022) |
 Subjects |
| BIOMEDICAL SENSORS AND SIGNAL PROCESSING |
| Contents |
| IDENTIFYING DATA | 2023_24 |
| Subject | BIOMEDICAL SENSORS AND SIGNAL PROCESSING | Code | 17705107 | |||||
| Study programme |
|
Cycle | 2nd | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 3 | Compulsory | First | 1Q |
|||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Topic | Sub-topic |
| 1. Introduction to sensor-based measurement systems | - Data science acquisition Systems - Signals, time, frequency, sampling - Biosignals and bioelectric signals. - Biomedical instrumentation |
| 2. Introduction to sensors | - Sensor and actuator fundamentals - Temperature sensor: a case example - Data acquisition architectures and circuits - introducing sensors data acquisition architectures. - Filtering - Amplification - Digital/Analog and Analog/digital conversion |
| 3. Biomedical sensors | - Sensors and transducers in biomedicine - Pulse oximeter - Biosignals - Electrocardiogram - Medical image introduction - X-ray, radiography - Computerized tomography |
| 4. Introduction to biomedical signals and Fourier analysis of linear systems |
- Signals and noise - Basic problems solved by signal processing - Applications of signal processing - Theory of linear systems - Sampling and quantization, signal interpolation |
| 5. Digital signal processing | - Discrete time filters - Convolution - Z-transform - Fourier trasnsform for spectral analysis |
