Brain-Machine Interface Device For Amyotrophic Lateral Sclerosis (ALS) Disease Using Arduino

Loh, Angeline Wan Jing (2017) Brain-Machine Interface Device For Amyotrophic Lateral Sclerosis (ALS) Disease Using Arduino. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

Text (24 Pages) Brain-Machine Interface Device For Amyotrophic Lateral Sclerosis (ALS) Disease Using Arduino.pdf - Submitted Version Download (283kB)

Abstract

Ice bucket challenge campaign was introduced in 2014 to let people feel the pain and numbness experienced by Amyotrophic Lateral Sclerosis (ALS) patients.ALS patients are diagnosed with a type of disease that attack the nerve cells responsible for controlling voluntary muscles,which leads to an impact on the ability of movement.The human brain consists of a number of motor neurons,so in order to capture the activities of the brain,the brain-machine interface (BMI) device is used. This BMI test kit consists of electrodes that able to receive signals from a human brain and transport them to a machine prototype.This allows the prototype to function.Basically,the BMI test kit does not read human thoughts and is not able to see through a human’s mind but it uses electrical impulses generated from the brain’s neurons to control subjects.In this project,a machine prototype consists of servo motors is used to replace a wheelchair,and the prototype is linked to a wirelessly controlled Arduino microcontroller.This method can be considered as a non-invasive technique. Conclusively,this project is about controlling the movements of a servo motors’ prototype that replacing a wheelchair through a microcontroller-based electroencephalogram (EEG) headband.The results from this project proved that it can help ALS or mobility disable patients to move around by using the concentration of their mind in daily life and allow them to lead an independent life.

Actions (login required)

View Item