Filtro de Kalman Modificado (FKM) para o Controle Ótimo de Tremores Parkinsonianos

Parkinson’s disease and other neurological disorders often manifestwith involuntary tremors, significantly impacting quality of life.This study proposes the Modified Kalman Filter for tremor attenuation,proposing a novel modification to enhance its performance inhand vibration control. Despite the advancements in adaptive algorithmsand deep learning models for tremor mitigation, challengessuch as data acquisition and implementation in wearable devicespersist. By leveraging the Kalman Filter’s ability to estimate systemstates, we aim to develop a more effective and accessible solutionfor individuals with tremors. Our findings demonstrate that theModified Kalman Filter can achieve significant tremor reduction,when compared to Kalman Filter, paving the way for future researchin wearable assistive technologies and brain-computer interfaces.