Resting tremor classification and detection in Parkinson's disease patients

Abstract

Parkinson is a neurodegenerative disease, in which tremor is the main symptom. This paper investigates the use of different classification methods to identify tremors experienced by Parkinsonian patients. Some previous research has focussed tremor analysis on external body signals (e.g., electromyography, accelerometer signals, etc.). Our advantage is that we have access to sub-cortical data, which facilitates the applicability of the obtained results into real medical devices since we are dealing with brain signals directly.Local field potentials (LFP) were recorded in the subthalamic nucleus of 7 Parkinsonian patients through the implanted electrodes of a deep brain stimulation (DBS) device prior to its internalization. Measured LFP signals were preprocessed by means of splinting, down sampling, filtering, normalization and rectification. Then, feature extraction was conducted through a multi-level decomposition via a wavelet transform. Finally, artificial intelligence techniques were applied to feature selection, clustering of tremor types, and tremor detection.The key contribution of this paper is to present initial results which indicate, to a high degree of certainty, that there appear to be two distinct subgroups of patients within the group-1 of patients according to the Consensus Statement of the Movement Disorder Society on Tremor. Such results may well lead to different resultant treatments for the patients involved, depending on how their tremor has been classified.Moreover, we propose a new approach for demand driven stimulation, in which tremor detection is also based on the subtype of tremor the patient has. Applying this knowledge to the tremor detection problem, it can be concluded that the results improve when patient clustering is applied prior to detection.

Cloud based framework for Parkinson’s disease diagnosis and monitoring system for remote healthcare applications

“…The medicines used for PD treatments mainly hold back nerve impulses to control movements. The surgical or invasive methods like Pallidotomy, Deep Brain Stimulation (DBS) [5,6,7] are used to stimulate brain cells through placing electrical probes inside the brain. But both the medicines and surgeries have side effects.…”

A Fuzzy Inference System for Closed-Loop Deep Brain Stimulation in Parkinson’s Disease

“…This last option can be of interest as it can improve the tremor detection. It has been previously shown that there appear to be different types of Parkinson's Disease [3]. It may well be therefore that the threshold is linked to the disease classification.…”

Feature Selection and Radial Basis Function Network for Parkinson Disease Classification

“…Mainly, the diagnosis of typical cases is depend on symptoms, with the use of some tests such as neuroscience to exclude other diseases. Even though, there is no cure for Parkinson's disease [9,10]. The Primary treatments are usually with levodopa antiparkensonian, with once can used dopamine stimuli becomes less effective levodopa.…”