Validation of the wavelet spectral estimation technique in Biceps Brachii and Brachioradialis fatigue assessment during prolonged low-level static and dynamic contractions

Hostens, Ivo; Seghers, Jan; Spaepen, Arthur; Ramón, Herman

doi:10.1016/s1050-6411(03)00101-9

Cited by 71 publications

(75 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Different studies compared the FFT and WT in different experimental protocols 9,10,13,15 . It seems that both techniques provide the same information regarding muscular fatigue -that is, when EMG fatigue indices are analyzed in dynamic exercise systematically controlling the movement speed, angle, and force.…”

Section: Discussionmentioning

confidence: 99%

“…Electrode placement was according to SENIAM 15 . Before each IT max , active EMG bipolar electrodes, model TSD 150 TM (BIOPAC Systems ® , USA), with an interelectrode distance of two centimeters, were placed on the vastus lateralis (VL), rectus femoris (RF), biceps femoris (BF), semi-tendinous (ST), and tibialis anterior (TA) muscles.…”

Section: Emg Signal Processing and Analysismentioning

confidence: 99%

See 1 more Smart Citation

Análise espectral do sinal EMG de exercício incremental em ciclistas e não ciclistas usando as transformadas de Fourier e Wavelet

Vitor-Costa

Bortolotti

Camata

et al. 2012

Rev. Bras. Cineantropom. Desempenho Hum.

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

Section: Emg Signal Processing and Analysismentioning

confidence: 99%

Análise espectral do sinal EMG de exercício incremental em ciclistas e não ciclistas usando as transformadas de Fourier e Wavelet

Vitor-Costa

Bortolotti

Camata

et al. 2012

Rev. Bras. Cineantropom. Desempenho Hum.

View full text Add to dashboard Cite

“…where r is calculated using the one-pole Debye [29] (20) where R x × R y is the 2D FDTD size, [u, v] is the Cartesian coordinates in the spatial frequency domain, R is a Gaussian random number with zero mean and probability density function of…”

Section: Canonical Testmentioning

confidence: 99%

“…Our compensation method uses an inverse filter in the wavelet domain to overcome the attenuation and dispersion in the electromagnetic (EM) wave propagation due to the dispersive medium. Our method uses adjustable-length windows by applying long time-windows at low frequencies and short time-windows at high frequencies [20]. Therefore we do not need optimization of the time-window length as was carried out in [17].…”

Section: Introductionmentioning

confidence: 99%

Continuous Wavelet Transform-Based Frequency Dispersion Compensation Method for Electromagnetic Time-Reversal Imaging

Abduljabbar

Yavuz

Costen

et al. 2017

IEEE Trans. Antennas Propagat.

View full text Add to dashboard Cite

Abstract-The invariance of wave equations in lossless media allows the Time Reversal (TR) technique to spatio-temporally refocus back-propagated signals in a given ultrawideband imaging scenario. However, the existence of dispersion and loss in the propagation medium breaks this invariance and the resultant TR focusing exhibits frequency and propagation duration dependent degradation. We propose an algorithm based on the continuous wavelet transform that tackles this degradation to improve focusing resolution under such conditions. The developed algorithm has been successfully applied to the scenario for localization of lung cancer.

show abstract

“…To avoid this problems of Fourier transforms, the signals can be divided into blocks with short durations and thus FFT is modified as short-time Fourier transform (SFT). This method, however, has restrictions due to a time-frequency resolution -time and frequency resolutions are fixed (Hostens et al 2004;Beck et al 2005) which can be compensated by other methods (Cohen's class time-frequency distributions as well as wavelet analysis).…”

Section: Introductionmentioning

confidence: 99%

Three methods for estimation of changes in frequency characteristics of potentials elicited by long-lasting (fatiguing) activity of isolated muscle fibres

Vukova¹,

Dimitrov²,

Radicheva³

2010

gpb

View full text Add to dashboard Cite

Abstract. The present study was assigned to compare the applicability and sensitivity of three different methods (discrete wavelet transforms (DWT), median frequency (MDF) -calculated on the basis of fast Fourier transform, and spectral indices) for analysis of frequency content changes in potentials produced by repetitive stimulation from isolated slow (SMFs)-and fast (FMFs)-fatigable muscle fibers during uninterrupted activity. In order to affect fatigue, prior to starting the fatiguing stimulation (5 Hz), some of the fibres were exposed to microwave electromagnetic field and others were sham exposed. All the methods studied demonstrated that during a long-lasting fibre activity, the shift of the potential frequency content to lower frequencies was a consequence of lowering in higher frequency components and increasing in low frequency ones. The changes were faster in FMFs than SMFs and stronger in sham exposed fibres vs. microwave exposed. The MDF alterations in both fibre types and protocols were quite similar to other methods characterizing either individual changes in low and high frequency scales of the signal (discrete wavelet transform -DWT) or changes in their spectral ratio (spectral indices). The spectral indices showed sensitivity to fatigue effect at the final stages that made their changes considerably non-linear. DWT allowed processing the temporal occurrence of frequency content changes that corresponded to the alterations in the separate potential phases as well as earlier detection and precise evaluation of fatigue onset and progressing.All methods are applicable but DWT is a preferable for study of muscle fibre fatigue in clinical and experimental neurophysiology.

show abstract

Validation of the wavelet spectral estimation technique in Biceps Brachii and Brachioradialis fatigue assessment during prolonged low-level static and dynamic contractions

Cited by 71 publications

References 30 publications

Análise espectral do sinal EMG de exercício incremental em ciclistas e não ciclistas usando as transformadas de Fourier e Wavelet

Análise espectral do sinal EMG de exercício incremental em ciclistas e não ciclistas usando as transformadas de Fourier e Wavelet

Continuous Wavelet Transform-Based Frequency Dispersion Compensation Method for Electromagnetic Time-Reversal Imaging

Three methods for estimation of changes in frequency characteristics of potentials elicited by long-lasting (fatiguing) activity of isolated muscle fibres

Contact Info

Product

Resources

About