Human Deep Skin Surface Vibration Frequency Detection from CT and DT Signals Using Genetic Algorithms

Year : 2024 | Volume :02 | Issue : 01 | Page : 9-16
By

Narasimha Chary Ch,

CH. GVN Prasad,

  1. Associate Professor Department of Computer Science and Engineering, Sri Indu College of Engineering & Technology, Sheriguda Telangana India
  2. Professor Department of Computer Science and Engineering, Sri Indu College of Engineering & Technology, Sheriguda Telangana India

Abstract

To diagnose respiratory problems early on, a contactless, non-invasive, real-time assessment of human vibration is a crucial prerequisite. Optoelectronic plethysmography (OEP) and the forced oscillation technique (FOT), are two widely utilized methodologies, depending on variations in each patient’s local chest impedance. Calibration of the devices before each measurement is hence the primary problem of these approaches. This report presents a simulation-based analysis to assess the effectiveness of the CT and DT Signals as a substitute. The study’s conclusion suggested that the self-mixing-based optical feedback interferometry (SM-OFI) might be employed as a vibration measurement tool. The outcomes also show that CT and DT Signals can detect heart activity. One of the main goals of clinical research and science is to determine vibration perception thresholds (VPT) to evaluate human somatosensory capabilities. Seldom has the reaction of several mechanoreceptors to a growing contact force been investigated. We hypothesize that the VPTs of fast-adapting mechanoreceptors in the human foot sole drop as contact force increases. Using a vibration exciter, the VPTs of ten healthy volunteers were recorded at 30 Hz and 200 Hz at the right foot’s heel. An integrated force sensor allowed for the exact adjustment of contact forces within the range of 0.3 N to 9.6 N. Contact force and frequency were found to have significant major effects. Additionally, a significant relationship was seen between frequency and contact force, indicating that an increase in contact force had an impact. We assume that the Meissner and Pacinian corpuscles follow the same rules for contrast enhancement and spatial summation, respectively. Because Pacinian corpuscles are located in the periosteum or interosseous membrane, we assume that they have an impact on them in addition to spatial summation.

Keywords: Meissner and Pacinian corpuscles, self-mixing effect, evolutionary approach, vibrations measuring, visual output interferometry, diagnostic instrument

[This article belongs to International Journal of Algorithms Design and Analysis Review(ijadar)]

How to cite this article: Narasimha Chary Ch, CH. GVN Prasad. Human Deep Skin Surface Vibration Frequency Detection from CT and DT Signals Using Genetic Algorithms. International Journal of Algorithms Design and Analysis Review. 2024; 02(01):9-16.
How to cite this URL: Narasimha Chary Ch, CH. GVN Prasad. Human Deep Skin Surface Vibration Frequency Detection from CT and DT Signals Using Genetic Algorithms. International Journal of Algorithms Design and Analysis Review. 2024; 02(01):9-16. Available from: https://journals.stmjournals.com/ijadar/article=2024/view=148399

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Regular Issue Subscription Review Article
Volume 02
Issue 01
Received April 10, 2024
Accepted April 30, 2024
Published May 30, 2024
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