Journal of Medical Signals & Sensors

ORIGINAL ARTICLE
Year
: 2022  |  Volume : 12  |  Issue : 4  |  Page : 285--293

A Novel Pulse-Taking Device for Persian Medicine Based on Convolutional Neural Networks


Vahid Reza Nafisi1, Roshanak Ghods2, Seyed Vahab Shojaedini1 
1 Biomedical Engineering Group, Electrical and Information Technology Department, Iranian Research Organization for Science and Technology, Tehran, Iran
2 Department of Traditional Medicine, Institute for Studies in Medical History, Persian and Complementary Medicine, School of Persian Medicine, Iran University of Medical Sciences, Tehran, Iran

Correspondence Address:
Roshanak Ghods
Research Institute for Islamic and Complementary Medicine, Iran University of Medical Sciences, Tehran
Iran

Background: In Persian medicine (PM), measuring the wrist pulse is one of the main methods for determining a person's health status and temperament. One problem that can arise is the dependence of the diagnosis on the physician's interpretation of pulse wave features. Perhaps, this is one reason why this method has yet to be combined with modern medical methods. This paper addresses this concern and outlines a system for measuring pulse signals based on PM. Methods: A system that uses data from a customized device that logs the pulse wave on the wrist was designed and clinically implemented based on PM. Seven convolutional neural networks (CNNs) have been used for classification. Results: The pulse wave features of 34 participants were assessed by a specialist based on PM principles. Pulse taking was done on the wrist in the supine position (named Malmas in PM) under the supervision of the physician. Seven CNNs were implemented for each participant's pulse characteristic (pace, rate, vessel elasticity, strength, width, length, and height) assessment, and then, each participant was classified into three classes. Conclusion: It appears that the design and construction of a customized device combined with the deep learning algorithm can measure the pulse wave features according to PM and it can increase the reliability and repeatability of the diagnostic results based on PM.


How to cite this article:
Nafisi VR, Ghods R, Shojaedini SV. A Novel Pulse-Taking Device for Persian Medicine Based on Convolutional Neural Networks.J Med Signals Sens 2022;12:285-293


How to cite this URL:
Nafisi VR, Ghods R, Shojaedini SV. A Novel Pulse-Taking Device for Persian Medicine Based on Convolutional Neural Networks. J Med Signals Sens [serial online] 2022 [cited 2022 Dec 8 ];12:285-293
Available from: https://www.jmssjournal.net/article.asp?issn=2228-7477;year=2022;volume=12;issue=4;spage=285;epage=293;aulast=Nafisi;type=0