@article{article_213971, title={COMPARISON OF STFT AND CWT METHODS TO DETERMINATE OF NEUROMUSCULAR DISORDER}, journal={Technological Applied Sciences}, volume={4}, pages={202–213}, year={2009}, DOI={10.12739/10.12739}, url={https://izlik.org/JA55RU87PL}, author={Koçer, Sabri}, keywords={Electromyography, Short time fourier transform, Continuous wavelet transform, Neuromuscular disorders, Signal processing,}, abstract={Electromyography (EMG) which is the signals measured on the skin surface when a muscle contract is widely used in clinical settings to investigate neurology. Since the recorded signals, called an EMG, is made of a superposition of motor unit action potential (MUAP) trains from all of the motor units (MUs) having fibers in the vicinity of the electrode, there are many approaches to analyzing EMG signals with spectral techniques. In this study, the short-time Fourier transform (STFT) and continuous wavelet transform (CWT) were applied to EMG signals obtained from normal, myopathy and neuropathy. These power spectrums are then used to compare with the applied methods in terms of medical evaluation. The cwt had good resolution for frequency and amplitude and performance high enough for use in clinical.}, number={2}