Hochschulschrift
Analysis and interpretation of long term intramuscular electromyography signals during prolonged computer work
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISBN
-
9783832212247
3832212248
- Maße
-
21 cm
- Umfang
-
111 S.
- Sprache
-
Englisch
- Anmerkungen
-
graph. Darst.
Zugl.: Zürich, Eidgenössische Techn. Hochs., Diss., 2002
- Erschienen in
-
Ergonomie ; Bd. 3
- Schlagwort
-
Nacken
Myalgie
Bildschirmarbeit
Kapuzenmuskel
Elektromyographie
Work
- Inhaltsverzeichnis
- Rechteinformation
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Letzte Aktualisierung
-
11.06.2025, 13:47 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Hochschulschrift
Beteiligte
- Zennaro, Daniel
- Shaker
Entstanden
- 2003
Ähnliche Objekte (12)
Quadriceps and hamstring muscle activity during cycling as measured with intramuscular electromyography
Use of Advanced Materials and Artificial Intelligence in Electromyography Signal Detection and Interpretation
An improved wavelet threshold denoising approach for surface electromyography signal
Single channel approach for filtering electroencephalographic signals strongly contaminated with facial electromyography
iEMG: imaging electromyography
An identification problem in electromyography
Electric powered wheelchair control using user-independent classification methods based on surface electromyography signals
High-density surface electromyography signals during isometric contractions of elbow muscles of healthy humans
Analysis of muscle fatigue using entropybased measures from the recurrence pattern of surface electromyography signals
Surface electromyography pattern of human swallowing
Automated Recognition of Hand Grasps Using Electromyography Signal Based on LWT and DTCWT of Wavelet Energy
Analysis of uterine electromyography signals using time-frequency based topological features for detection of preterm birth
Quadriceps and hamstring muscle activity during cycling as measured with intramuscular electromyography
Use of Advanced Materials and Artificial Intelligence in Electromyography Signal Detection and Interpretation
An improved wavelet threshold denoising approach for surface electromyography signal
Single channel approach for filtering electroencephalographic signals strongly contaminated with facial electromyography
iEMG: imaging electromyography
An identification problem in electromyography
Electric powered wheelchair control using user-independent classification methods based on surface electromyography signals
High-density surface electromyography signals during isometric contractions of elbow muscles of healthy humans
Analysis of muscle fatigue using entropybased measures from the recurrence pattern of surface electromyography signals
Surface electromyography pattern of human swallowing
Automated Recognition of Hand Grasps Using Electromyography Signal Based on LWT and DTCWT of Wavelet Energy
Analysis of uterine electromyography signals using time-frequency based topological features for detection of preterm birth
Quadriceps and hamstring muscle activity during cycling as measured with intramuscular electromyography
Use of Advanced Materials and Artificial Intelligence in Electromyography Signal Detection and Interpretation
An improved wavelet threshold denoising approach for surface electromyography signal
Single channel approach for filtering electroencephalographic signals strongly contaminated with facial electromyography
iEMG: imaging electromyography
An identification problem in electromyography
Electric powered wheelchair control using user-independent classification methods based on surface electromyography signals
High-density surface electromyography signals during isometric contractions of elbow muscles of healthy humans
Analysis of muscle fatigue using entropybased measures from the recurrence pattern of surface electromyography signals
Surface electromyography pattern of human swallowing
Automated Recognition of Hand Grasps Using Electromyography Signal Based on LWT and DTCWT of Wavelet Energy