▷ 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

▷ Especificaciones del módulo ESP32

▷ #ESP32 - REAL-TIME CLOCK #RTC INTERNO

▷ #ESP32 - SINCRONIZAR RTC INTERNO CON SERVIDOR NTP

▷ #ESP32 - Display OLED 128x64

▷ #ESP32 - Over-The-Air programming #OTA

▷ SISTEMAS EMBEBIDOS, PROYECTOS PROPUESTOS (2021 PAO1)

▷ PROTEUS PCB DESIGN

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

▷ #PROTEUS #PCB DESIGN (2020 PAO2)

▷ Instalación paso a paso de #ESP_IDF #ESPRESSIF 1/2