Brainwave motor control

Stroke is a brain attack. It can happen to anyone at any time. It occurs when blood flow to an area of brain is cut off. When this happens, brain cells are deprived of oxygen and begin to die. When brain cells die during stroke, abilities controlled by that area of the brain such as memory and muscle control are lost [1]. Patients who suffered stroke will become physically disabled whether on the upper body, lower body or even both. Thus, such patient needs a device to aid them to move from one place to another. The device is a wheelchair. There are many benefits of using wheelchairs such as it can help them to make a movement and to enable them to do their daily activities as usual. But for the paralyze patient, the manual wheelchair is not suitable for them. It is because, the manual wheelchair requires high level strength. Next, it needs to rely on someone to push the chair. It will cause more burdens to other people [2]. To help this disable people to solve their problem and make them easy do their daily activities as usual by building a wheelchair controlled by a brainwave

The Comparative Study of Deep Learning Neural Network Approaches for Breast Cancer Diagnosis

Breast cancer is one of the life threatening cancer that leads to the most death due to cancer among the women. Early diagnosis might help to reduce mortality. Thus, this research aims to study on different approaches of the deep learning neural network model for breast cancer early detection for better prognosis. The performance of deep learning approaches such as Artificial Neural Network (ANN), Recurrent Neural Network (RNN) and Convolution Neural Network (CNN) are evaluated using the dataset from the University of Wisconsin. The findings show ANN achieved high accuracy of 99.9 % compared to others in detecting breast cancer. ANN is able to deliver better results with the provided dataset. However, more improvement needed for better performance to ensure that the approach used is reliable enough for breast cancer early diagnosis