CTU FEE Moodle
Biological signals
B232 - Summer 23/24
This is a grouped Moodle course. It consists of several separate courses that share learning materials, assignments, tests etc. Below you can see information about the individual courses that make up this Moodle course.
Biological signals - BAM31BSG
Main course
| Credits | 6 |
| Semesters | Summer |
| Completion | Assessment + Examination |
| Language of teaching | Czech |
| Extent of teaching | 2P+2L |
Annotation
No data.
Study targets
No data.
Course outlines
No data.
Exercises outlines
No data.
Literature
No data.
Requirements
No data.
Biological Signals - B2M31BSG
| Credits | 5 |
| Semesters | Summer |
| Completion | Assessment + Examination |
| Language of teaching | Czech |
| Extent of teaching | 2P+2L |
Annotation
The course is focused to the native and evoked biosignals used in clinical medicine and current methods of capturing, processing, recording and evaluating in the time and frequency domains. For important biological signals, the students are introduced with their genesis, and nature and physiological characteristics of the signals required for construction of instruments. Students are introduced also with the physical and mathematical models. In laboratory exercises, students have the opportunity to capture their own biological signals and their subsequent processing in MATLAB.
Study targets
No data.
Course outlines
1. Introduction, biosignals, parameters
2. Voice and speech, F0, formants, characteristics of voice, speech disorders, phonetogram
3. Biological signal genesis, membrane potentials, neuron models
4. Signal of nerves and muscles, ENG, EMG signal processing, fatigue analysis
5. ECG systems ang signals, vector depolarization, the electrical cardiac axis
6. Description of ECG, basic images of ECG, VCG, filtering
7. Polycardiography - phonocardiography, pletysmogram. Wave detection, HRV.
8. Signals of the brain, EEG, rhythms, normal EEG, analysis artifacts
9. Abnormal EEG, graphoelements of paroxysmal activity, evoked potentials
10. Electrooculogram and electroretinogram
11. Polysomnography, classification of sleep stages
12. Auditory system, cochlear implant and the coding strategy
13. Pulmonary function, electrical activity of the stomach, elecrogastrogram
2. Voice and speech, F0, formants, characteristics of voice, speech disorders, phonetogram
3. Biological signal genesis, membrane potentials, neuron models
4. Signal of nerves and muscles, ENG, EMG signal processing, fatigue analysis
5. ECG systems ang signals, vector depolarization, the electrical cardiac axis
6. Description of ECG, basic images of ECG, VCG, filtering
7. Polycardiography - phonocardiography, pletysmogram. Wave detection, HRV.
8. Signals of the brain, EEG, rhythms, normal EEG, analysis artifacts
9. Abnormal EEG, graphoelements of paroxysmal activity, evoked potentials
10. Electrooculogram and electroretinogram
11. Polysomnography, classification of sleep stages
12. Auditory system, cochlear implant and the coding strategy
13. Pulmonary function, electrical activity of the stomach, elecrogastrogram
Exercises outlines
1. Measurement and evaluation of response time
2. Voice and speech
3. Measuring the speed of nerve conduction ulnar nerve
4. Electromyogram
5. Consultation to the semester term
6. Electrocardiogram and vectorkardiogram
7. Filtering of ECG signals and noise suppression
8. Polycardiography
9. Electroencephalogram
10. Evoked potentials, detection of epileptiform spikes
11. Electrooculogram
12. Measurement of lung volumes and capacities
13. Electrogastrogram
2. Voice and speech
3. Measuring the speed of nerve conduction ulnar nerve
4. Electromyogram
5. Consultation to the semester term
6. Electrocardiogram and vectorkardiogram
7. Filtering of ECG signals and noise suppression
8. Polycardiography
9. Electroencephalogram
10. Evoked potentials, detection of epileptiform spikes
11. Electrooculogram
12. Measurement of lung volumes and capacities
13. Electrogastrogram
Literature
No data.
Requirements
No data.
Biological Signals - B2M31BSGA
| Credits | 6 |
| Semesters | Summer |
| Completion | Assessment + Examination |
| Language of teaching | Czech |
| Extent of teaching | 2P+2L |
Annotation
The course is focused to the native and evoked biosignals used in clinical medicine and current methods of capturing, processing, recording and evaluating in the time and frequency domains. For important biological signals, the students are introduced with their genesis, and nature and physiological characteristics of the signals required for construction of instruments. Students are introduced also with the physical and mathematical models. In laboratory exercises, students have the opportunity to capture their own biological signals and their subsequent processing in MATLAB.
Study targets
No data.
Course outlines
1. Introduction, biosignals, parameters
2. Voice and speech, F0, formants, characteristics of voice, speech disorders, phonetogram
3. Biological signal genesis, membrane potentials, neuron models
4. Signal of nerves and muscles, ENG, EMG signal processing, fatigue analysis
5. ECG systems ang signals, vector depolarization, the electrical cardiac axis
6. Description of ECG, basic images of ECG, VCG, filtering
7. Polycardiography - phonocardiography, pletysmogram. Wave detection, HRV.
8. Signals of the brain, EEG, rhythms, normal EEG, analysis artifacts
9. Abnormal EEG, graphoelements of paroxysmal activity, evoked potentials
10. Electrooculogram and electroretinogram
11. Polysomnography, classification of sleep stages
12. Auditory system, cochlear implant and the coding strategy
13. Pulmonary function, electrical activity of the stomach, elecrogastrogram
2. Voice and speech, F0, formants, characteristics of voice, speech disorders, phonetogram
3. Biological signal genesis, membrane potentials, neuron models
4. Signal of nerves and muscles, ENG, EMG signal processing, fatigue analysis
5. ECG systems ang signals, vector depolarization, the electrical cardiac axis
6. Description of ECG, basic images of ECG, VCG, filtering
7. Polycardiography - phonocardiography, pletysmogram. Wave detection, HRV.
8. Signals of the brain, EEG, rhythms, normal EEG, analysis artifacts
9. Abnormal EEG, graphoelements of paroxysmal activity, evoked potentials
10. Electrooculogram and electroretinogram
11. Polysomnography, classification of sleep stages
12. Auditory system, cochlear implant and the coding strategy
13. Pulmonary function, electrical activity of the stomach, elecrogastrogram
Exercises outlines
1. Measurement and evaluation of response time
2. Voice and speech
3. Measuring the speed of nerve conduction ulnar nerve
4. Electromyogram
5. Consultation to the semester term
6. Electrocardiogram and vectorkardiogram
7. Filtering of ECG signals and noise suppression
8. Polycardiography
9. Electroencephalogram
10. Evoked potentials, detection of epileptiform spikes
11. Electrooculogram
12. Measurement of lung volumes and capacities
13. Electrogastrogram
2. Voice and speech
3. Measuring the speed of nerve conduction ulnar nerve
4. Electromyogram
5. Consultation to the semester term
6. Electrocardiogram and vectorkardiogram
7. Filtering of ECG signals and noise suppression
8. Polycardiography
9. Electroencephalogram
10. Evoked potentials, detection of epileptiform spikes
11. Electrooculogram
12. Measurement of lung volumes and capacities
13. Electrogastrogram
Literature
No data.
Requirements
No data.