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The added value of EEG-based BCIs for communication and rehabilitation of people with motor impairment

The added value of EEG-based BCIs for communication and rehabilitation of people with motor impairment

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The development of novel BCIs raises new hopes for the communication and control as well as the motor rehabilitation of people with motor impairment. However, the majority of current published works are basically proof of concept studies with no clinical-based evidence of daily use by people with motor impairment. Research interest in the field of BCI systems is expected to increase and BCI design and development and will most probably continue to bring benefits to the daily lives of people with motor impairment. Moreover, to address the need for extensive training for self-regulation of SMR, and considering the effect of motivation in the BCI control performance, more enjoyable solutions such as Virtual Reality or Gaming/Painting could be used. These approaches re-enable patients to be creatively active and consequently promote feelings of happiness, self-esteem and well-being, and promote better quality-of-life. Also, as the goal of future studies should be the demonstration of a long-term beneficial impact of BCI technology on functional recovery and motor rehabilitation, extensive randomized controlled trials are required.

Chapter Contents:

  • 2.1 Introduction
  • 2.2 BCI systems
  • 2.3 Review question
  • 2.4 Methods
  • 2.4.1 Search strategy
  • 2.4.2 Types of participants and model systems
  • 2.4.3 Data synthesis–description of studies target population characteristics
  • 2.5 EEG-based BCI systems for people with motor impairment
  • 2.5.1 EEG-based BCIs for communication and control
  • 2.5.1.1 EEG-based BCIs using SCP
  • 2.5.1.2 EEG-based BCIs using SMRs
  • 2.5.1.3 EEG-based BCIs using P300
  • 2.5.2 EEG-based BCIs for rehabilitation and training
  • 2.6 Discussion
  • 2.7 Summary
  • References

Inspec keywords: brain-computer interfaces; electroencephalography; patient rehabilitation

Other keywords: randomized controlled trials; motor rehabilitation; motor impairment; BCI design; BCI control performance; EEG-based BCIs; SMR; functional recovery; clinical-based evidence

Subjects: Biology and medical computing; User interfaces

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