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Conference object . 2025
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Article . 2025
License: CC BY
Data sources: Datacite
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Article . 2025
License: CC BY
Data sources: Datacite
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Estimador da Frequência de Tremor em Parkinsonianos com Vetor Aleatório de Acelerometria

Authors: Cevallos, Pedro Sebastian Silverio; Liquori, Danielle Martins da Silva; Tierra-Criollo, Carlos Julio;

Estimador da Frequência de Tremor em Parkinsonianos com Vetor Aleatório de Acelerometria

Abstract

Este artigo apresenta a implementação de um método alternativo para a estimativa da frequência de tremor em pacientes com Doença de Parkinson (DP). A metodologia proposta analisa os sinais de acelerometria como vetores aleatórios tridimensionais no domínio da frequência. A aquisição de sinais foi realizada usando um sistema de medição de aceleração aplicado a dois grupos: (i) sinais de "tremor"simulado gerados por um braço robótico em frequências definidas (1, 3 e 5 Hz); e (ii) sinais registrados durante episódios de tremor em pacientes com DP durant três dinâmicas de movimento (D1: repouso, D2: postural e D3: movimento periódico). Foram implementados dois métodos de estimativa de frequência: o Periodograma e o Modelo Autorregressivo (AR). Para os sinais simulados, ambos os métodos produziram estimativas próximas às frequências definidas, com o Periodograma apresentando pequenos desvios em 3 Hz e 5 Hz, enquanto o Modelo AR teve um desempenho ligeiramente melhor em 1 Hz. Para os sinais de tremor gravados de pacientes com DP, observou-se consistência entre os métodos nas dinâmicas D1 e D2, enquanto a D3 apresentou discrepâncias.

Related Organizations
Keywords

Modelos Autorregressivos, Densidade Espectral de Potência, Periodograma, Doença de Parkinson, Frequência de Tremor, Sinais de Acelerometria

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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