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Breathing Signature as Vitality Score Index based on AI-Medicine

Created by: Shengwen-calvin Li

Rising concerns about the short- and long-term detrimental consequences of administration of conventional pharmacopeia are fueling the search for alternative, complementary, personalized, and comprehensive approaches to human healthcare. Qigong, a form of Traditional Chinese Medicine, represents a viable alternative approach. Here, we started with the practical, philosophical, and psychological background of Ki (in Japanese) or Qi (in Chinese) and their relationship to Qigong theory and clinical application. Noting the drawbacks of the current state of Qigong clinic, herein we propose that to manage the unique aspects of the Eastern ‘non-linearity’ and ‘holistic’ approach, it needs to be integrated with the Western “linearity” “one-direction” approach. This is done through developing the concepts of “Qigong breathing signatures,” which can define our life breathing patterns associated with diseases using machine learning technology. We predict that this can be achieved by establishing an artificial intelligence (AI)-Medicine training camp of databases, which will integrate Qigong-like breathing patterns with different pathologies unique to individuals. Such an integrated connection will allow the AI-Medicine algorithm to identify breathing patterns and guide medical intervention. This unique view of potentially connecting Eastern Medicine and Western Technology can further add a novel insight to our current understanding of both Western and Eastern medicine, thereby establishing a vitality score index (VSI) that can predict the outcomes of lifestyle behaviors and medical conditions.

Keywords: Qigong; breathing signature; vitality score index; AI Medicine; AI deep learning; immune; inflammation; tissue microenvironment; holistic care; telomerase activity; traditional Chinese medicine (TCM) J.

 

 https://www.mdpi.com/2411-5142/4/4/71?type=check_update&version=1# https://www.mdpi.com/2411-5142/4/4/71?type=check_update&version=1#

 

Figure 1. Development of a vitality score index (VSI), which is the collective strength of more-specialized

signature breathing patterns unique for individuals. The VSI is derived from an AI Medicine algorithm

that integrates physiology, heartbeat, pulse oximeter, blood pressure, wristwear, cell phone monitor,

respiration and speech, lifestyle, diet, exercise, and breathing pattern. Such VSI data management not

only assists our understanding of the underlying biological mechanisms of the whole body, but also

predicts the outcomes of behaviors and medical treatment. A normal ECG records the electrical activity

of the heart ((Electrocardiogram in English, or EKG—Elektro-kardiographie in German)): P wave (Atrial

depolarization), PR segment, PR interval, QRS complex (QRS duration, Ventricular depolarization)),

QT interval, ST segment, T wave (Ventricular repolarization), and U wave. Best Respiratory Spirometer

Lung Exerciser Suppliers. Artificial intelligence in medicine (AI Medicine, AIMed) will change lives in

many ways. Already, AI solutions are being deployed and having a significant impact on healthcare.

(Credits: All images belong to Google images. AIMed logo designer: Anthony C. Chang, MD, MPH,

MBA, at CHOC Children’s Hospital).

Reference: https://www.mdpi.com/2411-5142/4/4/71?type=check_update&version=1#

 

Cite this article

Shengwen-Calvin, Li. Breathing Signature as Vitality Score Index based on AI-Medicine, Encyclopedia, 2019, v1, Available online: https://encyclopedia.pub/391