Brain Wave Frequency Measurement in Gamma Wave Range for Accurate and Early Detection of Depression

Jayita Malik; Meenakshi Dahiya; Naresh Kumari

doi:https://doi.org/10.51976/ijari.611809

Submit Manuscript Login / Register Subscribe

Home Page

Editorial Advisory Board

Mission, Aims & Scope

Current Issue

Brain Wave Frequency Measurement in Gamma Wave Range for Accurate and Early Detection of Depression

Jayita Malik, Meenakshi Dahiya, Naresh Kumari

Vol 6 , Issue 1 , January - March 2018 | Pages: 48-54 | Research Paper

https://doi.org/10.51976/ijari.611809

Received: January 25, 2018 | Revised: February 20, 2018 | Accepted: February 28, 2018 | Published Online: March 15, 2018

Author Details ( * ) denotes Corresponding author

1. Jayita Malik, Department of Electronics Engineering, Amity International School, Gurugram, Haryana, India

2. Meenakshi Dahiya, Department of Electronics Engineering, Amity International School, Gurugram, Haryana, India

3. * Naresh Kumari, Department of Electronics Engineering, The NorthCap University, Gurugram, Haryana, India (kumari.naresh01@gmail.com)

The Global System of Mobile Communication (GSM) which debuted in Nigeria in August 2001 was greeted with much celebration as the country finally joined the League of the GSM nations, though after less economically buoyant African countries such as Botswana, Mozambique, Uganda and Tanzania. Fourteen years after the introduction, Issues and challenges has been raised on why subscribers are been ripped of their money and short changed with epileptic services. This arises from the myriad of problems ranging from congestion to the poor network delivery. This paper discusses the evolution of GSM services in Nigeria, the range of services available and the issues involved in its operation in the last fourteen years. Not forgetting the benefit it has brought to the Nigerian economy. Suggestions are also made on how Nigeria can reap more benefits of the GSM communication.

Keywords

Depression; Gamma Waves; Frequency Band; Transmitter; Receiver; Electrodes; Electric Impulse; Brain Waves.

LS Goldman, NH Nielsen, HC Champion. Awareness, Diagnosis, and Treatment of Depression. Journal of general internal medicine 14(9), 1999, 569-580

JW Kantar, AMB Cristal, SJ Landes. The Nature of Clinical Depression: Symptoms, Syndromes, and Behavior Analysis. The behavior analyst 31(1), 2008, 1-21.

H Cai, X Sha, X Han, S Wei, B Hu. Pervasive EEG diagnosis of depression using Deep Belief Network with IEEE International Conference on Bioinformatics and Biomedicine, Shenzhen, 2016.

http://www.brainworksneurotherapy.com/what-are-brainwaves

http://mentalhealthdaily.com/2014/04/15/5-types-of-brain-waves frequencies-gamma-beta-alpha-theta-delta/

http://www.webmd.com/depression

S Chattopadhyay. A neuro-fuzzy approach for the diagnosis of depression. Applied Computing and Informatics 13(1), 2017, 10-18.

http://www.omharmonics.com/blog/gamma-brain-waves/

http://brainwavewizard.com/entrainment/the-benefits-of-gamma-brainwaves/

B Lowe, RL Spitzer, K Grafe, K Kroenke, A Quenter, S Zipfel, C Buchholz, WW Herzog. Comparative validity of three screening questionnaires for DSM-IV depressive disorders and physicians diagnoses. Journal of Affective Disorders 78(2), 2004, 131-140.