Brain Computer Interface Allows Human Brain and External Device to Communicate with Each Other

 

Brain Computer Interface

Brain computer interface (BCI) is a direct communication route between the electrical activity of the brain and an external device, usually a computer or a robotic limb. BCI is a computer-based system that acquires brain signals, analyzes them, and translates them into commands that are relayed to an output device to carry out a desired action. BCI can be used as an adaptive, assistive, and rehabilitative technology to monitor the brain activity and translate specific signal features that reflect the elderly's intent into commands that operate any device.

According to Coherent Market Insights, The global Brain Computer Interface Market is estimated to be valued at US$ 773.0 million in 2021 and is expected to exhibit a CAGR of 11.4% over the forecast period (2021-2028).

Brain computer interface could be useful for elderly people in many ways such as help control an exoskeleton to enhance the strength of the joints, communicate with others, control home appliances, and train their cognitive/motor abilities to prevent the aging effects, among others. The main goal of the brain computer interface system is to replace or restore useful function to people disabled by neuromuscular disorders such as spinal cord injury, stroke, cerebral palsy, or amyotrophic lateral sclerosis.

Thus, with the increasing prevalence of neuromuscular disorders & brain disorder and growing geriatric population across the globe, the use of or the need for brain computer interface is also increasing with a rapid pace. There are several ways to develop a noninvasive brain-computer interface, such as MRT (magnetic resonance tomography), MEG (magnetoencephalography), or EEG (electroencephalography). An EEG-based brain computer interface (BCI) is one of the most preferred type of BCI for studying.

In April 2022, the US based tech startup NexStem launched brain-computer interface solutions named NexStem headset and Wisdom-SDK to help developers create BCI applications. Mental health providers can use the solutions to have direct access to patients’ EEG data. Furthermore, it aims to provide an end-to-end experience that enables a user to interact with an application using their thoughts. However, development and implementation of a BCI system is complex and time-consuming. 

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