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Real time non-contact pulse vibration measurement system of radial artery for vata, pitta, kapha diagnosis using CMOS camera

Implementing Organization

National Institute of Technology (Agartala), Tripura
Principal Investigator
Prof. Ardhendu Saha
National Institute of Technology (Agartala), Tripura
CO-Principal Investigator
Dr. Biswanath Bhunia
National Institute of Technology (Agartala), Tripura

Project Overview

Wrist Pulse monitoring has recently gained a lot of attention in the scientific community because it is thought to be a good predictor of human health status. The pulse is a "vital sign," or one of the most basic medical characteristics. The abnormal form and rhythm of arterial pulse are linked to a variety of diseases. In our radial artery, a total of three types of pulses are exist, namely Vata, pitta, and Kapha respectively which are collectively known as tridosha,' and optimum health is defined as a balance between these three doshas. Traditional pulse analysis necessitates extensive pulse examination experience as well as a high degree of expertise. The interpretation is usually subjective, depending on the practitioner's level of knowledge. As a result, it is necessary to build a reliable monitoring method capable of capturing the radial artery pulses. The majority of current pulse diagnosis devices are contact type, which have a few drawbacks. Due to their high sensitivity, optical sensors are a viable alternative for precise measurement. In this project a pulse measurement system that can measure radial artery pulses in a non-contact way will be developed using CMOS image camera. In addition unintentional motion generated by patients due to fever or any other reasons may affect the original pulse signal measure by CMOS camera. In order to eliminating this unusual noise MARG sensor unit will be use. The data from the CMOS sensor and MARG (Magnetic, Angular Rate, and Gravity) sensor module is acquired by NI-cRIO, and the original pulse vibration is obtained by subtracting the MARG sensor data from the CMOS camera data. Using this we can monitor the pulse movement in real-time.
Funding Organization
Funding Organization
Science and Engineering Research Board (SERB), New Delhi
Anusandhan National Research Foundation (ANRF)
Quick Information
Area of Research
Engineering Sciences
Start Year
2023
End Year
2026
Sanction Amount
₹ 51.34 L
Status
Ongoing
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
N/A
Startup (If Any)
00
No. of Patents
Filed :01
Grant :00
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