Informatics Publishing Limited

V. Rama Raju ¹, M. Rukmini ², R. Borgohain ³, N. V. Thakor ⁴, R. N. S. K. Kartheek ⁵

Affiliations
1 Gowthami Women Engineering College, Proddatur (Kadapa), IN
2 NIMS Hospital & OUCE, Biomedical Engg. Dept, Hyderabad, IN
3 NIMS Hospital, Hyderabad, IN
4 National University of Singapore, SG
5 SV Govt. Polytechnic, Tirupathi, IN

Abstract

We setup an EMG amplifier for multi channel capturing of EMG signal with special reference to Writer's cramp (WC) from the subject having input impedance greater than 100 MegOhm(M ). By using this setup we gathered EMG- EMG data (signals) from WC subjects (diseased conditions) hand muscles: ECR and ECU, FCR and FCU, followed by fifth muscle using a set-of-five innocuous micro-wire-electrodes (50μ) in each-subject. We then assessed coherence and conducted chi-square (χ²) tests on these data in eight subjects of concordant(C) group and 4 subjects of discordant (D) group of right-hand-writing-signal (RHWS) and in left-hand-writing-signal (LHWS)) studied. We compared the difference between flexor-aspect-of-forearm and extensor-aspect-of-intrinsic hand-muscles. This showed significant coherence in both concordant and discordant groups of WC mirror-movements (MMs) in mirror-Dystonia. These observations suggest that the nature of EMG-EMG coherence in dystonic WC may be constrained by the descendingmotor- systems, both in terms of their anatomical-distribution and their frequency-characteristics. In our computation, the coherence showed symmetry along the diagonals in graphs. We thus state that, this study showed significant quantifiable EMG differences in the signals/waveforms seen while writing with the right and left hands between those WC subjects with concordant MMs (C group) versus those with discordant MMs (D group).

Keywords

EMG-Electromyography, WC-Writer's Cramp, MM-Mirror Movements, Dystonia, Coherence Of EMG, ECR-Extensor Curpi Radialis, ECU-Extensor Curpi Ulnaris, FCR-Flexor Curpi Radialis, FCU-Flexor Curpi Ulnaris, RHWS-Right Hand Writing Signal, LHWS-Left Hand Writing Signal.

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R. N. S. K. Kartheek ¹, V. Rama Raju ², R. Md. Shafi ³

Affiliations
1 SV Govt. Polytechnic, Tirupati, IN
2 Gowthami Women Engg College, Proddatur (Kadapa), IN
3 SVEC, Tirupathi, IN

Abstract

With the advancement in technology, human does not live thousands of years but the information in his mind could be saved and used for several thousands of years. The technology helpful in this activity is Blue Brain. "Blue brain" is the name of the world's first virtual brain. That means a machine can function as human brain. Today scientists are in research to create an artificial brain that can think, response, take decision, and keep anything in memory. The main aim is to upload human brain into machine. So that man can think, take decision without any effort. After the death of the body, the virtual brain will act as the man .So, even after the death of a person we will not lose the knowledge, intelligence, personalities, feelings and memories of that man that can be used for the development of the human society. The idea is to develop a computational modelling and using this modelling to develop a new experimental designing towards the concept of blue brain.

Keywords

Artificial Intelligence (AI), Biological Neuron(BN), Artificial Neural Network (ANN), Man Machine Interface (MMI), Nocortical Column (NCC), Inter-Processor Communication (MPI).

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