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Brain-Computer-Interface (BCI) In Paralysis

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Chapter Summary

A brain-computer-interface (BCI) or brain-machine-interface uses brain signals to drive external devices without participation of the spinal and peripheral motor system. In most BCIs the user's brain activity is acquired via amplifiers and filters and decoded using an on-line classification algorithm. In general, the algorithm for BCI applications is computationally simple and differences in classification accuracy between algorithms used for a particular purpose are small. The clinical target populations for BCI-treatment consist primarily of patients with amyotrophic lateral sclerosis and severe CNS damage including spinal cord injuries and stroke resulting in substantial deficits in communication and motor function. Motor disability resulting from chronic stroke represents the main cause of long-term disability among adults and has substantial social, financial and psychological impact on patients, families and society. Movement restoration in chronic stroke without residual movement capacity using non-invasive BCI is possible but generalisation of improvement to real life needs further experimentation.

Keywords: Brain-Computer-Interface (BCI); brain-machine-interface; peripheral motor system; sclerosis



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