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Machine learning based analysis of pulse rate using Panchamahabhutas and Ayurveda
International Journal of Information Technology Pub Date : 2021-05-11 , DOI: 10.1007/s41870-021-00690-2
Damini Niranjan , M. Kavya , K. T. Neethi , K. M. Prarthan , B. Manjuprasad

The symptoms of disease manifest in the pulse long before they do in the body. This technique helps to get to the root cause of the disease instead of just treating it based on the visible signs and symptoms. Unfortunately, Indian Ayurveda/Traditional Medical System using Pulse signals, Tridosha and Panchamahabhutas diagnosis has not been optimally exploited. The existing Tridosha based diagnosis are few in number and not easily accessible or expensive for people to use. Consequently, optimal remedies to overcome the imbalances become available only by consulting doctors. Our method is a non-invasive procedure. It helps in quantitative detection of characteristics of the pulse that may be forceful or weak which in turn helps in measuring the variation between normal and current pulse patterns. If one is going through persistent health issues, Nadi Nidan will help in finding out the imbalance and will also give warning signals about potential health issues one may face in the near future. It can further be used to suggest locations of nearby clinics for an immediate visit if required and also suggest some possible remedies inclusive of yoga, meditation, etc.



中文翻译:

使用Panchamahabhutas和Ayurveda进行基于机器学习的脉搏频率分析

疾病的症状早在体内出现之前就已经在脉搏中显现出来。该技术有助于找到疾病的根本原因,而不仅仅是根据可见的体征和症状对其进行治疗。不幸的是,使用脉冲信号,Tridosha和Panchamahabhutas诊断的印度阿育吠陀/传统医学系统尚未得到最佳利用。现有的基于Tridosha的诊断数量很少,使用起来不便或价格昂贵。因此,克服不平衡的最佳补救措施只能由咨询医生获得。我们的方法是非侵入性手术。它有助于定量检测可能有力或微弱的脉冲特征,进而有助于测量正常和当前脉冲模式之间的变化。如果有人遇到持续的健康问题,纳迪·尼丹(Nadi Nidan)将帮助发现失衡现象,并会发出警告信号,告知人们在不久的将来可能面临的潜在健康问题。如果需要,它还可以用来建议附近诊所的位置以便立即就诊,还可以建议一些可能的补救措施,包括瑜伽,冥想等。

更新日期:2021-05-11
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