Filtering and thresholding the analytic signal envelope in order to improve peak and spike noise reduction in EEG signals
Fecha de publicación2014-03-28
MetadatosMostrar el registro completo del ítem
To remove peak and spike artifacts in biological time series has represented a hard challenge in the last decades. Several methods have been implemented mainly based on adaptive filtering in order to solve this problem. This work presents an algorithm for removing peak and spike artifacts based on a threshold built on the analytic signal envelope. The algorithm was tested on simulated and real EEG signals that contain peak and spike artifacts with random amplitude and frequency occurrence. The performance of the filter was compared with commonly used adaptive filters. Three indexes were used for testing the performance of the filters: Correlation coefficient, mean of coherence function, and rate of absolute error. All these indexes were calculated between filtered signal and original signal without noise. It was found that the new proposed filter was able to reduce the amplitude of peak and spike artifacts with > 0.85, C > 0.8, and RAE < 0.5. These values were significantly better than the performance of LMS adaptive filter ( < 0.85, C < 0.6, and RAE > 1).
Es parte deMedical Engineering & Physics, 2014, vol. 36, num. 4, p. 547-553
Proyectos de investigación europeos
Showing items related by title, author, creator and subject.
Melia, Umberto; Clarià Sancho, Francisco; Vallverdú, Montserrat; Caminal Magrans, Pere (IEEE, 2012-08)Peak and spike artifacts in time series represent a serious problem for signal analysis especially in biomedical field. From the last decades, different techniques have been used for their removal mainly based on adaptive ...
Melia, Umberto; Vallverdú, Montserrat; Jospin, M.; Jensen, E. W.; Valencia, J. F.; Clarià Sancho, Francisco; Gambus, P. L.; Caminal Magrans, Pere (Springer, 2014-01)The level of sedation in patients undergoing medical procedures evolves continuously, such as the effect of the anesthetic and analgesic agents is counteracted by pain stimuli. The monitors of depth of anesthesia, based ...
Paternoster, Luca; Vallverdú, Montserrat; Melia, Umberto; Clarià Sancho, Francisco; Voss, Andreas; Caminal Magrans, Pere (IEEE, 2013-07)Epilepsy is one of the most prevalent neurological disorders among children. The study of surface EEG signals in patients with epilepsy by techniques based on symbolic dynamics can provide new insights into the epileptogenic ...