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Artificial Intelligence (Master of Science) >>

Interpretation and Analysis of Neural and Muscle Signals (BioSignalIS)5 ECTS
(englische Bezeichnung: Interpretation and Analysis of Neural and Muscle Signals)
(Prüfungsordnungsmodul: Interpretation and Analysis of Neural and Muscle Signals (BioSignalIS))

Modulverantwortliche/r: Alessandro Del Vecchio, Seung Hee Yang
Lehrende: Alessandro Del Vecchio, Seung Hee Yang


Startsemester: WS 2022/2023Dauer: 1 SemesterTurnus: jährlich (WS)
Präsenzzeit: 30 Std.Eigenstudium: 120 Std.Sprache: Englisch

Lehrveranstaltungen:


Inhalt:

Lecture: Fundamentals of speech signals, electrocardiogram, and electromyography.

Lecture: Principles of neural signals
Generation of an action potential; Recording electrophysiological data in humans; examples of EMG, EEG, intracortical data, and audio signals.

Lecture: Speech signals and processing

Lecture: ECG signal and processing

Lecture: EMG signal and processing
Association between EMG and voluntary force; Interpretation of multi-channel EMG signals; Neuronal encoding of behaviour; motor unit physiology in humans; motoneuron properties, longitudinal assessment of neuronal function; voice biomarkers for diagnosis and treatment of neurological disease; automatic speech recognition; speech pathology.

Lecture: MATLAB / Python practical coursework
Biosignal processing; data with high temporal resolution, identification of individual neurons, associations between neuronal discharge times and behaviour; control of prosthetic devices from neural signals. Extraction of neural information from speech and ECG signals, electrophysiological signals, and data mining and neural network model training on these signals.

Practical work: literature overview on these signals and a critical analysis on how to merge these signals for an artificial intelligent system that can detect and prevent neural and/or muscular pathologies.

Lernziele und Kompetenzen:

Students describe the acquisition, analysis, and interpretation of data from different structures (brain, heart, and articulatory muscles). As the goal of this course, students learn the current methods in time-series analysis and understand how to potentially merge the information from these different sources in an AI system.


Weitere Informationen:

Schlüsselwörter: Neurophysiology, Neural signals

Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:

  1. Artificial Intelligence (Master of Science)
    (Po-Vers. 2021s | TechFak | Artificial Intelligence (Master of Science) | Gesamtkonto | Nebenfach | Nebenfach Artificial Intelligence in Biomedical Engineering | Interpretation and Analysis of Neural and Muscle Signals (BioSignalIS))
Dieses Modul ist daneben auch in den Studienfächern "Informatik (Master of Science)", "Information and Communication Technology (Master of Science)", "Medizintechnik (Master of Science)" verwendbar. Details

Studien-/Prüfungsleistungen:

Interpretation and Analysis of Neural and Muscle Signals (BioSignalIS) (Prüfungsnummer: 76711)
Prüfungsleistung, Seminarleistung, Dauer (in Minuten): presentation 30 min., benotet, 5 ECTS
Anteil an der Berechnung der Modulnote: 100.0 %
weitere Erläuterungen:
Presentation and paper

Erstablegung: WS 2022/2023, 1. Wdh.: SS 2023
1. Prüfer: Alessandro Del Vecchio

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