siGnum: graphical user interface for EMG signal analysis.
Electromyography (EMG) signals that represent the electrical activity of muscles can be used for various clinical and biomedical applications. These are complicated and highly varying signals that are dependent on anatomical location and physiological properties of the muscles. EMG signals acquired from the muscles require advanced methods for detection, decomposition and processing. This paper proposes a novel Graphical User Interface (GUI) siGnum developed in MATLAB that will apply efficient and effective techniques on processing of the raw EMG signals and decompose it in a simpler manner. It could be used independent of MATLAB software by employing a deploy tool. This would enable researcher's to gain good understanding of EMG signal and its analysis procedures that can be utilized for more powerful, flexible and efficient applications in near future.
Department of Biomedical Engineering, Deenbandhu Chhotu Ram University of Science & Technology , Murthal-131039, Haryana , India .
Manvinder
M
Kaur
Shilpi
S
Mathur
Dinesh
D
Bhatia
Suresh
S
Verma
D000328:Adult; D000842:Ankle / Q000502:physiology; D004576:Electromyography / Q000379:methods*; D005260:Female; D005583:Fourier Analysis; D006801:Humans; D018482:Muscle, Skeletal / Q000502:physiology; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D014584:User-Computer Interface; D055815:Young Adult
Electromyography; fast fourier transform; graphical user interface; rectification; wavelet