How are brain signals processed, and what are the key feature extraction techniques used in BMI development?

In Brain-Machine Interface (BMI) development, brain signals are processed to extract relevant information that can be used to control external devices. The processing of brain signals involves several stages, including signal acquisition, preprocessing, and feature extraction. Here's an in-depth explanation of how brain signals are processed in BMI development and the key feature extraction techniques used:

1. Signal Acquisition:

* Brain signals can be acquired using various techniques, including invasive, semi-invasive, and non-invasive methods.
* Invasive techniques involve implanting electrodes directly into the brain to record neural activity with high spatial resolution.
* Semi-invasive methods place electrodes on or beneath the skull, providing a balance between signal resolution and invasiveness.