Physics Department, TUM | Course 0000003133 in WS 2023/4

General Data

Course Type

practical training

Semester Weekly Hours

4 SWS

Organisational Unit

Associate Professorship of Bio-inspired Information Processing (Prof. Hemmert)

Lecturers

Bernhard Gleich
Werner Hemmert
Assistants:
Jonathan Rapp

Dates

1 singular or moved dates

iCalendar

	Date and Time	Room and Remark
!	Fri, 2024-03-01, 09:00–17:00	The course presumably takes place in March 2024, with work-on-exercises days, lab days and workshops. The final schedule will be announced soon.

Assignment to Modules

PH1032: Fortgeschrittenenpraktikum Biomedical Engineering and Medical Physics / Biomedical Engineering and Medical Physics Lab Course
This module is included in the following catalogs:
- Mandatory Modules in M.Sc. Biomedical Engineering and Medical Physics

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks	Biosignals refer to signals recorded from the human body. They can be either electrical (e.g. clectrocardiogram (ECG), electroencephalogram (EEG), electromyogram (EMG), etc.) or non-electrical (e.g. breathing, movements, etc.). The acquisition and processing of such signals play an important role in clinical routines. They are usually considered as major indicators which provide clinicians and physicians with useful information during diagnostic and monitoring processes. Thus, when dealing with biosignals, special attention must be paid to their acquisition, their analysis and their processing capabilities which constitute the final stage preceding the clinical diagnosis. Naturally, the diagnosis is based on the information provided by the processing system. In such cases, vast responsibility is placed on this system. Therefore, specific attention should be paid to the way these signals have to be processed. As you are aware, clinicians dealing with processed signals care little about the algorithm that has been implemented in their system to extract the required information. For them, the final results are all that counts. Generally speaking, signal processing, in particular digital signal processing, has today become a huge universe, incorporating a wide range of techniques and approaches. To get a comprehensive overview of the whole corpus of published techniques is far from straightforward. In fact, many fields deal with digital signal processing including mathematics, electrical engineering, computer engineering, and so on.
Links	E-Learning course (e. g. Moodle) Current information TUMonline entry TUMonline registration

additional remarks

Biosignals refer to signals recorded from the human body. They can be either electrical (e.g. clectrocardiogram (ECG), electroencephalogram (EEG), electromyogram (EMG), etc.) or non-electrical (e.g. breathing, movements, etc.). The acquisition and processing of such signals play an important role in clinical routines. They are usually considered as major indicators which provide clinicians and physicians with useful information during diagnostic and monitoring processes. Thus, when dealing with biosignals, special attention must be paid to their acquisition, their analysis and their processing capabilities which constitute the final stage preceding the clinical diagnosis. Naturally, the diagnosis is based on the information provided by the processing system. In such cases, vast responsibility is placed on this system. Therefore, specific attention should be paid to the way these signals have to be processed. As you are aware, clinicians dealing with processed signals care little about the algorithm that has been implemented in their system to extract the required information. For them, the final results are all that counts. Generally speaking, signal processing, in particular digital signal processing, has today become a huge universe, incorporating a wide range of techniques and approaches. To get a comprehensive overview of the whole corpus of published techniques is far from straightforward. In fact, many fields deal with digital signal processing including mathematics, electrical engineering, computer engineering, and so on.

Links

E-Learning course (e. g. Moodle)
Current information
TUMonline entry
TUMonline registration

Equivalent Courses (e. g. in other semesters)

Semester	Title	Lecturers	Dates
WS 2022/3	BEMP Lab 05: Measurement and Filtering of Bioelectrical Signals	Gleich, B. Hemmert, W. Assistants: Knürr, J.	singular or moved dates
WS 2021/2	BEMP Lab 05: Measurement and Filtering of Bioelectrical Signals	Gleich, B. Hemmert, W. Assistants: Knürr, J.	singular or moved dates

BEMP Lab 05: Measurement and Filtering of Bioelectrical Signals

Course 0000003133 in WS 2023/4

General Data

Assignment to Modules

Further Information

Equivalent Courses (e. g. in other semesters)