Enhancing Ayurvedic Diagnostics: Correlation and Validation of Sensor-Based Prakriti Parikshan through Comprehensive Questionnaire Analysis

Authors

  • Mrunal Fatangare School of Computer Science and Engineering, Department of Computer Engineering and Technology, Dr. Vishwanath Karad MIT World Peace University, Pune 411038, India.
  • Sukhada Bhingarkar School of Computer Science and Engineering, Department of Computer Engineering and Technology, Dr. Vishwanath Karad MIT World Peace University, Pune 411038, India. https://orcid.org/0000-0002-9784-0932

DOI:

https://doi.org/10.47552/ijam.v16i2.5387

Keywords:

Ayurvedic Engineering, Prakriti Parikshan, Sensor Technology, Questionnaire Analysis, Dosha Evaluation, Personalized Healthcare

Abstract

The field of Ayurvedic engineering seeks to modernize traditional Ayurvedic practices using contemporary technological methods. This research paper introduces an innovative method for Ayurvedic Prakriti Parikshan, the evaluation of individual constitutions using sensor-based Nadi Pariksha and validating it using analysis of questionnaire responses.

The proposed method includes the use of an extensive questionnaire consisting of 75 questions, validated by Ayurvedic experts, in conjunction with sensor-based pulse readings to identify Vata, Pitta, and Kapha doshas. Techniques such as Baseline wander removal filters for preprocessing, feature extraction using the 1-dimensional discrete wavelet transform (1D DWT) and Fast Fourier Transform (FFT). The gathered data is consolidated and analyzed to determine the predominant dosha in each person. Later the doshas obtained from sensor-data are validated using the doshas obtained from the questionnaire-data demonstrating an accuracy rate of 95%.

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Published

2025-07-10

How to Cite

Fatangare, M., & Bhingarkar, S. (2025). Enhancing Ayurvedic Diagnostics: Correlation and Validation of Sensor-Based Prakriti Parikshan through Comprehensive Questionnaire Analysis. International Journal of Ayurvedic Medicine, 16(2), 464–476. https://doi.org/10.47552/ijam.v16i2.5387

Issue

Vol. 16 No. 2 (2025): April - June 2025

Section

Research Articles

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