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Empirical Mode Decomposition-Based Filter Applied to Multifocal Electroretinograms in Multiple Sclerosis Diagnosis

de Santiago, Ortiz del Castillo, Garcia-Martin, Rodrigo, Sánchez Morla, Cavaliere, Cordón, Miguel, López, Boquete
2019 Sensors  
The mfERG recordings were filtered using empirical mode decomposition (EMD). The correlation with the signals in a normative database was used as the classification feature.  ...  multiple sclerosis in early-stage patients.  ...  Empirical Mode Decomposition-based Filter In this paper, we adopt the original EMD method given in Huang et al.  ... 
doi:10.3390/s20010007 pmid:31861282 pmcid:PMC6983250 fatcat:txzu2wreg5hxdm2ejn2zxxquiy

Diagnosis of multiple sclerosis using multifocal erg data feature fusion

A. López-Dorado, J. Pérez, M.J. Rodrigo, J.M. Miguel-Jiménez, M. Ortiz, L. de Santiago, E. López-Guillén, R. Blanco, C. Cavalliere, E. Mª Sánchez Morla, L. Boquete, E. Garcia-Martin
2021 Information Fusion  
The purpose of this paper is to implement a computer-aided diagnosis (CAD) system for multiple sclerosis (MS) based on analysing the outer retina as assessed by multifocal electroretinograms (mfERGs).  ...  For each group, the correlation with a normative database of adaptively filtered signals, based on empirical model decomposition (EMD) and three features from the continuous wavelet transform (CWT) domain  ...  [grant number PI17/01726 for "Neuro-ophthalmological evaluation as biomarker of diagnosis, monitoring and prognosis in multiple sclerosis", awarded to EGM and RETICS Oftared, RD16/0008/ 020, awarded to  ... 
doi:10.1016/j.inffus.2021.05.006 pmid:34867127 pmcid:PMC8475498 fatcat:o2hbkirkifgwtkh2yddspvyoku

Empirical mode decomposition processing to improve multifocal-visual-evoked-potential signal analysis in multiple sclerosis

Luis de Santiago, Eva Sánchez-Morla, Román Blanco, Juan Manuel Miguel, Carlos Amo, Miguel Ortiz del Castillo, Almudena López, Luciano Boquete, Dominique Persano Adorno
2018 PLoS ONE  
Objective To study the performance of multifocal-visual-evoked-potential (mfVEP) signals filtered using empirical mode decomposition (EMD) in discriminating, based on amplitude, between control and multiple  ...  sclerosis (MS) patient groups, and to reduce variability in interocular latency in control subjects.  ...  Empirical mode decomposition Empirical mode decomposition (EMD) has been proposed [21] as an adaptive time-frequency data analysis method.  ... 
doi:10.1371/journal.pone.0194964 pmid:29677200 pmcid:PMC5909914 fatcat:mv7v7yfmdfabdl6pywyb5ra5fi

Advanced Bioelectrical Signal Processing Methods: Past, Present, and Future Approach—Part III: Other Biosignals

Radek Martinek, Martina Ladrova, Michaela Sidikova, Rene Jaros, Khosrow Behbehani, Radana Kahankova, Aleksandra Kawala-Sterniuk
2021 Sensors  
[127] proposed to use empirical mode decomposition in order to denoise the ERG responses.  ...  Empirical Mode Decomposition The EMD method was used for the purpose of decomposition of the EMG signal to the IMFs which were then processed with the implementation of other filtering methods and then  ...  All authors have read and agreed to the published version of the manuscript.  ... 
doi:10.3390/s21186064 pmid:34577270 fatcat:qumunxldgvhi3mwfzqfly5g7v4

Preview of Abstracts Fifth Annual Conference of the IEEE Engineering in Medicine and Biology Society

1983 IEEE Transactions on Biomedical Engineering  
In the process, measurement techniques may become more standardized and widely applied to the mutual benefit of clinicians and investigators in numerous scientific disciplines.  ...  Finally, multiple joint movements were learned in which all joints moved simultaneously.  ...  The system is currently being used in early diagnosis of some neurological disorders such as myasthema gravis, multiple sclerosis, and Huntington's chorea.  ... 
doi:10.1109/tbme.1983.325152 fatcat:5ytnmjovmbbexh2nd7x322enge