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UNLABELLED: This study proposes an event-related potential (ERP) BCI-based environmental control system that integrates household electrical appliances, a nursing bed, and an intelligent wheelchair to provide daily assistance to paralyzed patients with severe spinal cord injuries (SCIs). METHODS: An asynchronous mode is used to switch the environmental control system on or off or to select a device (e.g., a TV) for achieving selfpaced control. In the asynchronous mode, we introduce several pseudo-keys and a verification mechanism to effectively reduce the false operation rate. By contrast, when the user selects a function of the device (e.g., a TV channel), a synchronous mode is used to improve the accuracy and speed of BCI detection. Two experiments involving six SCI patients were conducted separately in a nursing bed and a wheelchair, and the patients were instructed to control the nursing bed, the wheelchair, and household electrical appliances (an electric light, an air conditioner, and a TV). RESULTS: The average false rate of BCI commands in the control state was 10.4%, whereas the average false operation ratio was 4.9% (a false BCI command might not necessarily result in a false operation according to our system design). During the idle state, there was an average of 0.97 false positives per minute, which did not result in any false operations. CONCLUSION: All SCI patients could use the proposed ERP BCIbased environmental control system satisfactorily. SIGNIFICANCE: The proposed ERP-based environmental control system could be used to assist patients with severe SCIs in their daily lives.

Original publication

DOI

10.1109/TBME.2016.2628861

Type

Journal article

Journal

IEEE Trans Biomed Eng

Publication Date

08/2017

Volume

64

Pages

1959 - 1971