A Decadal Walk on BCI Technology: A Walkthrough

A Decadal Walk on BCI Technology: A Walkthrough

Ahan Chatterjee, Aniruddha Mandal, Swagatam Roy, Shruti Sinha, Aditi Priya, Yash Gupta
Copyright: © 2021 |Pages: 26
DOI: 10.4018/978-1-7998-4706-9.ch006
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Abstract

In this chapter, the authors take a walkthrough in BCI technology. At first, they took a closer look into the kind of waves that are being generated by our brain (i.e., the EEG and ECoG waves). In the next section, they have discussed about patients affected by CLIS and ALS-CLIS and how they can be treated or be benefitted using BCI technology. Visually evoked potential-based BCI technology has also been thoroughly discussed in this chapter. The application of machine learning and deep learning in this field are also being discussed with the need for feature engineering in this paradigm also been said. In the final section, they have done a thorough literature survey on various research-related to this field with proposed methodology and results.
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Electroencephalography Waves

Electroencephalography waves, is the futuristic concept in the field of Brain-Computer Interface technique with a medical image processing background. It’s defined as an electrical activity captured from the surface of the scalp with the help of metal electrodes and conducting medium. The analysis of EEG waves is giving new paths to in the field of neuroprosthesis and neurorehabilitation.

EEG is measured directly from the cortical surface (electrocardiogram) by using depth probes called electrograms. When there is a transfer of data from neuron to neuron a local current is being developed due to synaptic excitation of dendrites and that is being measured by EEG. All the recordable electrical activities is being generated in the human scalp region, the local current penetrates the skin, skull and other layers to be measured (Larsen, 2011). As they travel all the layers the current becomes weak to be recorded so it has to be amplified, and digitalized and then stored in the memory.

Brain Waves:

Brain waves are defined as some oscillating electrical voltages in the brain. The general amplitude of brain wave is around a millionth of a volt. Different regions of brain emit different frequencies and we need to put those electrodes in that manner. Majorly there are 5 types of brain waves as described in table -1, and figure 1 representing the waves.

Table 1.
Different Brain waves and their characteristics
Frequency BandFrequency (Hz)Brain State
Gamma (γ)>35 HzConcentration
Beta (β)12 – 35 HzAnxiety Dominant, Active, External Attention, Relaxed
Alpha (α)8 – 12 HzVery Relaxed
Theta (θ)4 – 8 HzDeeply Relaxed, inward focused
Delta (δ)0.5 – 4 HzSleep

Source: Created by the Author, based on information

Figure 1.

Different Brain waves and their characteristics

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