Feature visualization and classification for the discrimination between individuals with Parkinson's disease under levodopa and DBS treatments.

Alessandro R P MachadoHudson Capanema ZaidanAna Paula Souza PaixãoGuilherme Lopes CavalheiroFábio Henrique Monteiro OliveiraJoão Areis Ferreira Barbosa JúniorKheline NavesAdriano Alves PereiraJanser Moura PereiraNader PouratianXiaoyi ZhuoAndrew O'KeeffeJustin SharimYvette BordelonLaurice YangMarcus Fraga VieiraAdriano O Andrade

Published in: Biomedical engineering online (2016)

This research showed the discrimination between healthy and diseased groups conditions. The methods were also able to discriminate individuals with PD treated with DBS and levodopa. These methods enable objective characterization and visualization of features extracted from inertial and electromyographic sensors for different groups.

Keyphrases

deep brain stimulation
parkinson disease
machine learning
deep learning
electron microscopy
low cost
newly diagnosed