Abstract
Patients in a locked in syndrome (LIS) on account of wicked neurological disorders involve unseamed emergency care by their caregivers or guardians. Nevertheless, it is a very hard job for the guardians to endlessly monitor the patients’ state, particularly when there is no possibility of direct communication. The present study proposed an emergency feedback system for such patients using Steady State Visual Evoked Potential (SSVEP) approach. The existing techniques are based on SSVEP applications work only for spelling the characters and words and not utilized to patients in locked in syndrome. Hence their clinical value has not been validated. In addition no former studies for imaged based and sentence based communication speller application has been reported. In the presented study, an imaged based sentence speller application is developed that appraise subject’s focus position towards each image from the paradigm. The proposed system paradigm is comprised of 3 × 3 image based matrices. In order to affirm the feasibility of our emergency feedback system, nine healthy subjects are taken. After measuring the mean for sequence of trials, mean accuracy level is reported 87.69% for each healthy subject. It is reported that average time required to execute command is 21.41 s for healthy participants.
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This work is being conducted and supervised under the ‘Intelligent Systems and Robotics’ research group at Computer Science (CS) Department, Bahria University, Karachi, Pakistan.
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Khatri, T.K., Farooq, H., Alam, M.T., Khalid, M.N., Rasheed, K. (2019). Emergency Feedback System Based on SSVEP Brain Computing Interface. In: Bajwa, I., Kamareddine, F., Costa, A. (eds) Intelligent Technologies and Applications. INTAP 2018. Communications in Computer and Information Science, vol 932. Springer, Singapore. https://doi.org/10.1007/978-981-13-6052-7_57
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DOI: https://doi.org/10.1007/978-981-13-6052-7_57
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