Statistical analysis of exponential and polynomial models of emg & gsr biofeedback for correlation between subjects’ medications movement & medication scores

ISSN: 22783075
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Abstract

Stress and TTH are the problem which are treated by using biofeedback therapy from longtime. Nowadays TTH is almost common in everyone's life and if this problem occurs continuously and with more impact then it is known as "distress". Stress is a problem which is faced by almost every age group and this problem is increasing day by day. It hampers the peace, happiness in every individual’s life. So to measure the level of stress and TTH we are going to introduce EMG and GSR biofeedback. Analyzing both, we will get that which therapy is better and we will also get the best mode of therapy. These biofeedback therapies utilize scientific instrument to evaluate the stress level of the subject. Under these therapies, the three modes that are used to check the level of stress are audio mode, video mode, audio-visual mode. To get the best result the subjects are divided into two groups. One group will be introduced under EMG and the other will be handled under GSR. The change in the behaviour of subject i.e. the change in the stress level are measured at the interval of one month, three months, six months and twelve months. Mental, physical and total scores are calculated by performing this experiment and the last result that we will get after twelve months will be treated as final result. Through this study, it has been concluded that there is a high correlation between Movement of Medication of Subjects v/s Average Subject Medication Score (EMG), Movement of Medication of Subjects v/s Average Weightage Medication Score (GSR) and Movement of Medication of Subjects v/s Average Weightage Medication Score. The Whole Analysis is being done in Tableau software which is a data Analytics tool and gives data analysis in different visualizations and was designed by 3 Professors of Standford university in their research work in 1996-97 and was launched in 2003. These therapy formula may be used in future to work for different health issues and also for other dependent variables like blood pressure, heart rate, sugar level, etc.

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APA

Rastogi, R., Chaturvedi, D. K., Satya, S., Arora, N., Gupta, M., Singhal, P., & Gulati, M. (2019). Statistical analysis of exponential and polynomial models of emg & gsr biofeedback for correlation between subjects’ medications movement & medication scores. International Journal of Innovative Technology and Exploring Engineering, 8(6), 625–635.

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