Title: Design of telemedicine system for brain signal analysis
Authors: Sushreesangita Biswal; Anindita Das; Sushri Shalinee; Mihir Narayan Mohanty
Addresses: Department of Electronics and Communication Engineering, Institute of Technical Education and Research, Siksha 'O' Anusandhan University, Bhubaneswar, Odisha, India ' Department of Electronics and Communication Engineering, Institute of Technical Education and Research, Siksha 'O' Anusandhan University, Bhubaneswar, Odisha, India ' Department of Electronics and Communication Engineering, Institute of Technical Education and Research, Siksha 'O' Anusandhan University, Bhubaneswar, Odisha, India ' Department of Electronics and Communication Engineering, Institute of Technical Education and Research, Siksha 'O' Anusandhan University, Bhubaneswar, Odisha, India
Abstract: Development of modern medical equipments for medical diagnosis is a great challenge. Simultaneously, the device must be compact with reduced architecture and be efficient. Engineering application has a major role for these applications. Increasing healthcare motivates for such technology that can be applicable for telemedicine. In this paper, authors have taken an attempt to develop a telemedicine system. Categorically, the brain signals have been considered for this work. In the first phase, EEG signals have been analysed for the normal, alcoholic, and epileptic seizure case. It follows the second phase to communicate from distant location. To enhance the communication technique, suitable antenna has been chosen as bow-tie antenna design. Combination of these modules shows a successive performance along with each module result.
Keywords: EEG signals; electroencephalograms; fast Fourier transform; FFT; CZT; Welch; ZigBee; bow-tie antenna; system design; telemedicine; brain signal analysis; alcoholism; alcoholics; epileptic seizure; epliepsy; healthcare services; remote locations.
DOI: 10.1504/IJTMCP.2016.077918
International Journal of Telemedicine and Clinical Practices, 2016 Vol.1 No.3, pp.250 - 264
Received: 07 Nov 2014
Accepted: 25 Jun 2015
Published online: 22 Jul 2016 *