Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/14461
Título: Study of the electromyographic signal dynamic behavior in Amyotrophic Lateral Sclerosis (ALS)
Autor: Santos, Maria Marta Oliveira Antunes dos
Orientador: Quintão, Carla
Gamboa, Hugo
Palavras-chave: Amyotrophic Lateral Sclerosis (ALS)
Coherence
Phase Locking Factor (PLF)
Fractal Dimension (FD)
Lempel-Ziv (LZ)
Detrended Fluctuation Analysis (DFA)
Data de Defesa: Out-2014
Resumo: Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease characterized by motor neurons degeneration, which reduces muscular force, being very difficult to diagnose. Mathematical methods are used in order to analyze the surface electromiographic signal’s dynamic behavior (Fractal Dimension (FD) and Multiscale Entropy (MSE)), evaluate different muscle group’s synchronization (Coherence and Phase Locking Factor (PLF)) and to evaluate the signal’s complexity (Lempel-Ziv (LZ) techniques and Detrended Fluctuation Analysis (DFA)). Surface electromiographic signal acquisitions were performed in upper limb muscles, being the analysis executed for instants of contraction for ipsilateral acquisitions for patients and control groups. Results from LZ, DFA and MSE analysis present capability to distinguish between the patient group and the control group, whereas coherence, PLF and FD algorithms present results very similar for both groups. LZ, DFA and MSE algorithms appear then to be a good measure of corticospinal pathways integrity. A classification algorithm was applied to the results in combination with extracted features from the surface electromiographic signal, with an accuracy percentage higher than 70% for 118 combinations for at least one classifier. The classification results demonstrate capability to distinguish members between patients and control groups. These results can demonstrate a major importance in the disease diagnose, once surface electromyography (sEMG) may be used as an auxiliary diagnose method.
URI: http://hdl.handle.net/10362/14461
Designação: Dissertação
Aparece nas colecções:FCT: DF - Dissertações de Mestrado

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