Commenced in January 2007
Paper Count: 31515
Artificial Generation of Visual Evoked Potential to Enhance Visual Ability
Abstract:Visual signal processing in human beings occurs in the occipital lobe of the brain. The signals that are generated in the brain are universal for all the human beings and they are called Visual Evoked Potential (VEP). Generally, the visually impaired people lose sight because of severe damage to only the eyes natural photo sensors, but the occipital lobe will still be functioning. In this paper, a technique of artificially generating VEP is proposed to enhance the visual ability of the subject. The system uses the electrical photoreceptors to capture image, process the image, to detect and recognize the subject or object. This voltage is further processed and can transmit wirelessly to a BIOMEMS implanted into occipital lobe of the patient’s brain. The proposed BIOMEMS consists of array of electrodes that generate the neuron potential which is similar to VEP of normal people. Thus, the neurons get the visual data from the BioMEMS which helps in generating partial vision or sight for the visually challenged patient.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1126311Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1178
 Suraj H, Bhavyabhushan Yadav. A. V, “The use of VLSI to Generate Vision in Blind People using suitable Neuroprosthesis Implant of BIOMEMS in Brain” IEEE Transaction on Biomedical Engineering 2011.
 Mohammed Mojarradi, “Miniaturized Neuroprosthesis Suitable for Implantation into Brain” IEEE transaction on neuro system and rehabilitation engineering, March 2009.
 Mehrdad Fatourechi, Ali Bashashati, Rabab K. Ward and G. E. Birch, “EMG and EOG Artifacts in Brain Computer Interface Systems: A survey”, Clinical Neurophysiology, Vol. 118, No. 3, pp. 480-484, Mar. 2007.
 Clark T.-C Nguyen, “MEMS Technology for Timing and Frequency Control“, IEEE transactions on ultrasonics, ferroelectrics, and frequency control, vol. 54, no. 2, february 2007.
 Rangaraja. M. Rangayanan, “Biomedical Signal Processing Analysis. A case study Approach” .IEEE Press.
 T. Singh, “Face Recognition Based on PCA Algorithm”, Special Issue of International Journal of Computer Science & Informatics, ISSN (PRINT): 2231–5292, Vol.- II, Issue-1, pp. 221-225.