Key result
The wearable asynchronous BCI system achieved an average accuracy of 94.03±4.65%, an average information transfer rate of 31.42±7.39 bits/min, and an average false-positive rate of 1.78%.
Why the study?
Existing brain-computer interface systems are bulky, expensive, and require laborious preparation before use.
A newly developed wearable asynchronous BCI system using fewer channels demonstrates high accuracy and practical feasibility, potentially facilitating the transition of BCI applications to real-world scenarios.
OBJECTIVE: Brain-computer interfaces (BCIs) have tremendous application potential in communication, mechatronic control and rehabilitation. However, existing BCI systems are bulky, expensive and require laborious preparation before use. This study proposes a practical and user-friendly BCI system without compromising performance. METHODS: A hybrid asynchronous BCI system was developed based on an elaborately designed wearable electroencephalography (EEG) amplifier that is compact, easy to use and offers a high signal-to-noise ratio (SNR). The wearable BCI system can detect P300 signals by processing EEG signals from three channels and operates asynchronously by integrating blink detection. RESULT: The wearable EEG amplifier obtains high quality EEG signals and introduces preprocessing capabilities to BCI systems. The wearable BCI system achieves an average accuracy of 94.03±4.65%, an average information transfer rate (ITR) of 31.42±7.39 bits/min and an average false-positive rate (FPR) of 1.78%. CONCLUSION: The experimental results demonstrate the feasibility and practicality of the developed wearable EEG amplifier and BCI system. SIGNIFICANCE: Wearable asynchronous BCI systems with fewer channels are possible, indicating that BCI applications can be transferred from the laboratory to real-world scenarios.
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Hu et al. (2023) studied this question. Wearable asynchronous BCI system was evaluated on Average accuracy, information transfer rate (ITR), and false-positive rate (FPR). The wearable asynchronous BCI system achieved an average accuracy of 94.03±4.65%, an average information transfer rate of 31.42±7.39 bits/min, and an average false-positive rate of 1.78%.
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