Yoga and its Relation with Diabetes Prevention | Chapter 8 | Disease and Health: Research Developments Vol. 5

The chances of developing type 2 diabetes depend on a combination of risk factors. People are more likely to develop type 2 diabetes mellitus if they are overweight or obese, over the age of 35, have poor eating and exercise habits, daily stress, and/or have a family history of diabetes. Yoga offers holistic solutions to the management of type 2 diabetes mellitus and its complications involving lifestyle changes such as various asanas, changes in diet, and management of stress and meditation. Various studies suggest that yoga can improve the risk of these complications in adults with type 2 diabetes. Studies also revealed that the human body needs a certain amount of fat in the diet to stay healthy. Eating the wrong kind of fat can trigger health hazards. A well-balanced vegetarian diet has proven to be extraordinarily healthy and cures many diseases including diabetes. The effect of yoga incorporating asanas, pranayam, meditation, kriyas, sattvic diet and mental discipline is beneficial to patients of type 2 DM. Stress and sedentary lifestyle are the leading causes of type 2 diabetes. Yoga has been shown to be quite effective in managing blood sugar levels. It helps activate the internal organs like the pancreas and build strength. Moreover, pranayama exercises are very helpful and beneficial for lowering blood glucose. In the current communication, an attempt has been made to explain the importance of yoga in overcoming problems related to type 2 diabetes.

 

Author (s) Details

 

Wazir C. Vasudeva
Department of Chemistry University of Khartoum, Sudan.

 

Please see the book here:- https://doi.org/10.9734/bpi/dhrd/v5/4305

Fundamentals of Yoga Meditation: Physical and Mental Benefits | Chapter 7 | Recent Trends in Arts and Social Studies Vol. 5

Yoga is a psycho-somatic-spiritual discipline for achieving union and harmony between our mind, body, and soul and the ultimate union of our individual consciousness with the universal consciousness. There are certain elements of meditation which should be achieved before sitting for meditation and are described. Transcendental meditation (TM) is one of the techniques of meditation, which involves allowing the mind to dwell on a series of words (called a mantra) given by the meditation teacher, with no effort. If the attention wanders it is allowed to wander till it returns to the mantra. A mantra is a sacred word or phrase that is chanted repeatedly in order to alter one's state of mind and have miraculous religious and spiritual effects on the mind. When mantras are recited during meditation, people enter a higher state of consciousness. It is believed that chanting mantras opens the gates to the absolute. The sound of mantras is associated with a state of tranquil meditation which generates calmness, quietness, and peace in the mind and relaxes the muscles and tones the nervous system and becomes the cause for lowering blood pressure, heart rate, and rate of breath. This creates brain waves which deal with stress and its consequences. The opinion of several yoga masters and distinguished medical experts who worked on meditation for decades is expressed.

Author(s) Details:

Wazir C. Vasudeva,

Department of Chemistry, University of Khartoum, Sudan.

Please see the link here: https://stm.bookpi.org/RTASS-V5/article/view/11373

A Novel Approach to Analyze Pranayama through Machine Learning Techniques | Chapter 07 | New Approaches in Engineering Research Vol. 12

 Pranayama (breathing exercises) is an integral part of yoga practise. When practising pranayama, it's important to keep track of how many cycles you've done. The most important thing is to keep track of how long someone is inhaling and exhaling. Maintaining a proper ratio throughout the inhalation: exhalation cycle is critical. The counting procedure is so taxing for a beginning that it is difficult to retain awareness of the breathing process, and the standard of pranayama practise suffers as a result. The goal of the proposed system is to develop a new method for analysing the quality of Pranayama using machine learning techniques. The main goal of the proposed project is to develop an application that can count inhalations and exhalations. It guarantees that users receive feedback based on their breathing and exhalation patterns. It analyses each breath and exhalation pattern and uses Clustering algorithms to classify inhalation and exhalation. This paper's proposed structure aids in improving the uniformity of pranayama. As a result, respiratory performance improves, which reduces melancholy and anxiety. To test the validity of breathing patterns, the KNN, SVM, Random Forest, and Decision Tree algorithms are used.

Author(S) Details

A. Parkavi
Department of CSE, M S Ramaiah Institute of Technology, Bangalore, India.

V. Sangeetha
Department of CSE, M S Ramaiah Institute of Technology, Bangalore, India.

G. R. Amith
Department of CSE, M S Ramaiah Institute of Technology, Bangalore, India.

B. K. Harini
Department of CSE, M S Ramaiah Institute of Technology, Bangalore, India.

M. Supriya
Department of CSE, M S Ramaiah Institute of Technology, Bangalore, India.

K. N. Tejasvini
Department of CSE, M S Ramaiah Institute of Technology, Bangalore, India.

View Book:- https://stm.bookpi.org/NAER-V12/article/view/3841

A Novel Approach to Analyze Pranayama through Machine Learning Techniques | Chapter 7 | New Approaches in Engineering Research Vol. 12

Pranayama (breathing exercises) is an integral part of yoga practise. When practising pranayama, it's important to keep track of how many cycles you've done. The most important thing is to keep track of how long someone is inhaling and exhaling. Maintaining a proper ratio throughout the inhalation: exhalation cycle is critical. The counting procedure is so taxing for a beginning that it is difficult to retain awareness of the breathing process, and the standard of pranayama practise suffers as a result. The goal of the proposed system is to develop a new method for analysing the quality of Pranayama using machine learning techniques. The main goal of the proposed project is to develop an application that can count inhalations and exhalations. It guarantees that users receive feedback based on their breathing and exhalation patterns. It analyses each breath and exhalation pattern and uses Clustering algorithms to classify inhalation and exhalation. This paper's proposed structure aids in improving the uniformity of pranayama. As a result, respiratory performance improves, which reduces melancholy and anxiety. To test the validity of breathing patterns, the KNN, SVM, Random Forest, and Decision Tree algorithms are used.

Author (S) Details

A. Parkavi
Department of CSE, M S Ramaiah Institute of Technology, Bangalore, India.

V. Sangeetha
Department of CSE, M S Ramaiah Institute of Technology, Bangalore, India.

G. R. Amith
Department of CSE, M S Ramaiah Institute of Technology, Bangalore, India.

B. K. Harini
Department of CSE, M S Ramaiah Institute of Technology, Bangalore, India.

M. Supriya
Department of CSE, M S Ramaiah Institute of Technology, Bangalore, India.

K. N. Tejasvini
Department of CSE, M S Ramaiah Institute of Technology, Bangalore, India.

View Book :- https://stm.bookpi.org/NAER-V12/article/view/3841