▷ Control of Upper and Lower Limb Prostheses using a Real-Time #EEG Signal Classification System

⭐⭐⭐⭐⭐ Control of Upper and Lower Limb Prostheses using a Real-Time #EEG Signal Classification System


 

Hey everyone!

In this work an experimental methodology was developed using OpenBCI for the acquisition of EEG signals from 24 volunteer subjects. The volunteers are work and research colleagues from ESPOL University.

EEG signal preprocessing techniques are used to eliminate noise components. In addition, feature extraction algorithms were used to extract features from each EEG electrode. Next, some classifiers were trained and those with the highest accuracy were selected. Finally, the best classifiers were used to classify motor tasks in real-time and control two active prostheses.

Read related topics

Comentarios

Popular Posts

▷ SOLUCIÓN EVALUACIÓN SISTEMAS DIGITALES 1, 2do Parcial (2021 PAE)

▷ Especificaciones del módulo ESP32

▷ #ESP32 - SINCRONIZAR RTC INTERNO CON SERVIDOR NTP

▷ SOLUCIÓN EVALUACIÓN FUNDAMENTOS DE ELECTRICIDAD Y SISTEMAS DIGITALES, 2do Parcial (2020 PAO 2)

▷ Instrumentación con #Microcontroladores y #LabView

▷ #ESP32 - INSTALAR LIBRERIAS DESDE GESTOR LIBRERIAS ARDUINO

▷ #ESP32 - REAL-TIME CLOCK #RTC INTERNO

▷ SISTEMAS DIGITALES 1, EXAMEN RESUELTO 2do PARCIAL (2018 1er Término)

▷ SISTEMAS EMBEBIDOS, END DEVICE & COORDINATOR (2020 PAO 1)

▷ Sensor networks for agriculture based on #FPGA