15th Half Yearly Report

Ph.D.
Half Yearly Progress Report

Scholars Name: Kurubara Basavaraj Batch: September 2014
Department: Computer Science and Engineering Faculty, SET, Jain University.
Date of Synopsis Presented: 08-10-2016
Topic: Health Diagnosis by Indigenously Developed Wrist Pulse Detector and Analyzer
Name of Guide with present working status: Dr. S.Balaji

Professor, Centre for Incubation, Innovation,
Research and Consultancy
Jyothy Institute of Technology.
Scholars Address for Communication: #41,3rd c main road, jp nagara 1st phase,
Bangalore.
Mobile No: 9008277740 Email id: basavarazz@gmail.com
Progress Report No: 15
Period
Report No From To
13 July 2022 Sept 2022
Ph.D. Half Yearly Report
1 Progress Report Highlights

Thesis writing and summarizing the thesis
2 Progress Report Details
Thesis Summery
The rest of the thesis is organized as follows.
Chapter 2: A comprehensive literature survey of the work being carried out in India and abroad
on radial pulse detection and analysis for disease diagnosis is presented in it. It also gives a
review of the commercially available human pulse acquisition systems which are used for pulse
sensing especially by western and traditional Chinese medicine system. The Chinese
practitioners use the systems during acupuncture treatment and disease diagnosis by traditional
way with pulse detected at six different points on both the hands. Western systems use such
systems for clinical purposes e.g., for arterial elasticity, augmentation index measurement etc. As
against Chinese method, the Indian Ayurvedic diagnosis is based on pulse (Nadi) examination at
three points on the wrist of either left (in case of female) or right (in case of men) hand. The
system is, therefore, is developed keeping this difference in mind. Accordingly, the objectives of
the research work are arrived at and spelt out at the end of Chapter 1.
Chapters 3 explains the principles of pulse diagnosis followed in ancient systems. Different
Ayurvedic principles followed during diagnosis are discussed in detail. It provides a detailed
view on Tridoshas and their significance in diagnosing a patient. The concept of five elements
(Panchamahabhutas) and the importance of each element are discussed in detail.
Chapters 4 explains the experiments carried out for the development of data acquisition system
to make the subjective method of radial pulse diagnosis into an objective method. The system
involves a microphone (termed as a mic) fundamentally used to sense and measure Nadi, that is,
the acoustic waves that can be sensed and detected on the wrist joint. The sensed signal from
Page 2
microphone is filtered using R-C filters designed with Op-Amp (LM352). The filtered signal is
amplified to obtain beneficial Nadi patterns. The microcontroller (ATmega128) records the
filtered signal and sends it to an oscilloscope which is used for display and store the waveform in
the analog form. The hardware designed and developed for sensor interface and sensor signal
conditioning is described in this chapter. The data is acquired with the help of a PCI card and
USB interface, and it is displayed on PC screen and stored for offline analysis. The results
obtained are as good as those of commercially available radial pulse acquisition system (Power
Lab 4/30). The system is validated by comparing the same with data collected using
commercially available system. After successful development of “pulse auscultation system” it
was used for collecting the radial pulse data of a large number of subjects
Chapter 5 in the beginning describes the guidelines for data collection. The data is collected from
single dominant (Pradhan) dosha point. The same subjects were examined by Ayurvedic
Physician (Nadi Vaidya) and the pradhan Dosha - Vata, Pitta or Kapha - was identified.
Correlation was established between the two with a view to use the electrical pulse data only for
identifying the pradhan dosha of the subject. The radial pulse data collected was analyzed in time
domain. The results obtained are compared with the results reported in the literature. The data of
1000 subjects by single point measurement were collected. The analysis of collected pulse data is
done with the help of MATLABr15 software. The acquired data was also analyzed in time
domain and different statistical features are retrieved for each signal and categorized using the K-
NN classifier to identify these three doshas. Finally, three-point pulse data is correlated with the
Nadi-Vaidya's prediction for pradhan dosha based on amplitude of pulses. The results are also
compared with the ones available in the literature. To the best of our knowledge, this type of
analysis is reported for the first time.
Chapter 6 presents the real time results obtained for different participants in clinical practice. We
took the data from the clinical practice conducted in Ayurveda, Acupressure, Yoga and
Page 3
Naturopathy hospitals. The participants include individuals with acute and chronic health
disorders. The Nadi signal is acquired using indigenously developed pulse diagnosis machine
and validated it with obtained tridosha parameters.
Chapter 7 gives concluding remarks including the plans for future research.
At the end of the thesis the plans for future work are proposed. With the encouraging results
obtained, it is planned for collection of large data, analysis of the same in all respects and tune
the system for disease diagnosis (Nadi-Pariksha). The commercially available sensors used for
pulse detection are either large or have inadequate frequency response. It is, therefore, planned to
modify the pulse sensor. It is also planned to simulate the Nadi-Vaidya's fingers using artificial
(robotic) fingers and flexible sensors.
2.1 Publications: 2
REPORT APPROVALS
Prepared by Kurubara Basavaraj

Ph.D. Student
Approved by Dr.S Balaji

Guide
___________________________
Page 4

15th Half Yearly Report

Uploaded by

Copyright:

Available Formats

15th Half Yearly Report

Uploaded by

Document Information

Original Description:

Copyright

Available Formats

Share this document

Share or Embed Document

Sharing Options

Did you find this document useful?

Is this content inappropriate?

Copyright:

Available Formats

15th Half Yearly Report

Uploaded by

Copyright:

Available Formats

Ph.D.

Half Yearly Progress Report

Name of Guide with present working status: Dr. S.Balaji

Progress Report No: 15

1 Progress Report Highlights

2 Progress Report Details

Prepared by Kurubara Basavaraj

Approved by Dr.S Balaji

You might also like