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Section BRAIN-COMPUTER INTERFACES, COGNITIVE NAVIGATION WORKSHOP AND NEUROENGINEERING
The future steps in this field include:
• Development of clinically relevant, bidirectional, multichannel BMIs that both decode neural activity and deliver sensory information to the brain.
• Development of advanced robotic prostheses capable of restoring mobility of paralyzed limb. These include exoskele-tons, prosthetic limbs and functional electrical stimulators that activate subjects' own muscles.
• Research on mathematical algorithms for decoding of brain activity. It is expected that this work will generate both efficient decoders for BMIs and new theories of brain processing.
• Development of multidisciplinary collaborations. Overall, BMIs are definitely the technology of the future.
Device for Electrophysiological Signal Recognition and Data Transmission on Wheelchairs
M. V. Patrushev*, E. A. Bogdanov and N.N. Shusharina
Institute of Chemistry and Biology Immanuel Kant Baltic Federal University, Kaliningrad, Russia. * Presenting e-mail: maxpatrushev@gmail.com
Aims
In this work we present the results of the first tests of a device capable for detecting EMG signals recognition and data transmission on wheelchairs.
Methods
In obtained results we have used electrophysiological signal, such as obtained from electromyogram (EMG), increases the effectiveness of systems for external device control: wheelchairs.
Results
It's obvious that development of a high-accuracy device that allows for continuous recording of physiological signals and transmits data to the external device (wheelchair) can yield very inspiring results. We have carried out a truly multidisciplinary study, at the first stage of which a prototype model of such device was created and tested. It was demonstrated that the signals obtained with our device were identical to those obtained with reliable analytical tools.
Conclusions
The results of EMG experiment showed the considerable advantage over joystick control. Due to the increased classification accuracy and flexibility, a device for EMG wheelchair control is more reliable and exhibits the new opportunities and freedom level for people with disabilities. The obtained results lead us to conclude that EMG recording can be used as alternative method for wheelchair control. We assume that improvements to the system and simultaneous use of various physiological signals will significantly help people with disabilities in a wheelchairs control.
Acknowledgements
The work was supported by the Ministry of Education and Science of the Russian Federation within the framework of the Federal Targeted Program for Research and Development in Priority Areas of Advancement of the Russian Scientific and Technological Complex for 2014-2020 (Grant Agreement no. RFMEFI57815X0140 dated October 27, 2015).
OM&P
68 Opera Med Physiol 2016 Vol. 2 (S1)
