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Yoga for all” effectiveness indices for calibrating personalized psychosomatic health and well-being

Author: 
Dhanjoo N. Ghista, BE, ME, PhD and Ravi S. Sharma, BSc, MSc, PhD
Subject Area: 
Physical Sciences and Engineering
Abstract: 

Imagine a world where, with the benefit of state-of-the-art wearable devices, AI-powered apps, cloud networks and storage, and above all, a community of practitioners may be “connected” by their common desire for wellness. This paper addresses how meditation, a key aspect of yoga, can provide healing of mind and body, gateway to overall improvement in health and well-being, resulting in mind liberation and enlightenment. This is not new age medicine or healthcare. It is a return to the roots of human wellness in the post-humanistic order of life. The paper outlines the scientific paradigm of the Cosmological cycle, on the formation of the universe and the theory of evolution, providing the basis of Meditation. A customizable smart watch, AI-enabled app, cloud storage networks, and a community of wellness practitoners could serve to monitor heart rate and breathing rate for evaluating the effectiveness of Yogapathy among subjects. This cloud and data infrastructure would be purposed to promote psychosomatic health and well-being. Going further, we can also formulate a novelYogapathy Effectiveness Index (YefI) expressed as a function of the heart-rate variability, breathing efficacy, and electrodermal activity and apply it to monitor heartrate, breathing rate, and electrodermal activity, to enable personalized health monitoring and appropriate nudges to maintain well-being. We posit that this is the path to health for all in the architecture of a cloud-based community of wellness practitioners.

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