Browsing by Author "Sukesh Rao, M."

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    A new blood pressure prediction method using wrist pulse examination
    (Springer, 2020) Sukesh Rao, M.; Rao, R.
    Wrist pulse examination plays an imperative role in clinical practice including contemporary medicine systems like Ayurveda. Wrist pulse measurement system can also be used for blood pressure (BP) monitoring. This article proposes an extension of wrist pulse analysis system for BP monitoring. Wrist pulse signals are captured using three piezoelectric thin film sensors at the radial artery of the wrist as per Ayurvedic pulse diagnosis method. The wave features such as Spatial Pulse Transit Time (SPTT) and Spatial Pulse Wave Velocity (SPWV) are extracted from the captured wrist pulses. Pearson’s correlation coefficient is computed to find the correlation between SPTT and BP measured using standard measuring instrument (Omron HEM-6131). A moderate correlation is found between SPTT and Systolic Blood Pressure (SBP) with correlation coefficient of 0.72. SPWV values computed from SPTT are used to develop an empirical model for BP in terms of SPWV. Limitations of the empirical model lead to a theoretical model using Poiseuilli law. The Mean Artery Pressure (MAP) using theoretical model is recorded for 41 participants. The deviation of MAP thus computed as compared to the readings taken from clinically validated BP monitoring device is found to be varying in the range of 4.5 ± 2.3 mmHg. © 2020, IUPESM and Springer-Verlag GmbH Germany, part of Springer Nature.
  • No Thumbnail Available
    Item
    A reliability test for the body constitution diagnosis using wrist pulse analysis based on ayurveda
    (National Institute of Science Communication and Policy Research, 2022) Sukesh Rao, M.; Ravishankar, K.; Rao, R.
    Wrist pulse diagnosis is the most primitive and apparent way to know about the human body condition for the diagnosis of disease. Ayurveda, an ancient Indian science, introduced wrist pulse diagnosis in the name of 'Nadi'. Due to the lack of expertise and standardisation, the knowledge of Nadi is limited to very few Ayurvedic practitioners. An automated wrist pulse reading instrument can overcome this problem and help in non-invasive diagnosis using a wrist pulse based on Ayurveda. The primary objective of the research is to develop instrumentation to digitise the three pulse patterns viz., Vata (V), Pitta (P) and Kapha (K). Based on the signals acquired, the nature of the body (Prakriti) is identified and categorised into different classes. Wrist pulses are acquired using three thin-film flexible piezoelectric sensors and processed using a signal conditioning circuit. Signals are quantised using data acquisition module and processed. The studies carried out in the present work show substantial to moderate (based on the number of classes considered) agreement in the pulse-based classifications done by expert Ayurvedic physician and the developed instrument. Cohen's kappa of 0.719 and 0.454 are obtained as inter-rater reliability between traditional and instrumental readings on wrist pulse taken on basic level (VPK) and sub-levels (VP, VK PK). An inter-rater reliability test using Cohen's Kappa is adopted for this purpose. Similarly, reliability between Ayurvedic questionnaire-based and wrist pulse-based Prakriti identification are also tested. A Cohen's kappa of 0.587 and 0.476 is obtained between Prakriti and two different pulse reading data sets with basic level of classification viz. instrument and traditional method. © 2022, National Institute of Science Communication and Policy Research. All rights reserved.