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Narasimha Chary Ch, CH. GVN Prasad
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- Associate Professor, Professor Department of Computer Science and Engineering, Sri Indu College of Engineering & Technology, Sheriguda, Department of Computer Science and Engineering, Sri Indu College of Engineering & Technology, Sheriguda Telangana, Telangana India, India
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Abstract
nTo 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), two widely utilized methodologies, depend on variations in each patient’s local chest impedance. Calibration of the devices before to 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 SM-OFI might be employed as a vibration measurement tool. The outcomes also show that heart activity can be detected by CT and DT Signals. One of the main goals of clinical research and science is to determine vibration perception thresholds (VPT) in order to evaluate human somatosensory capabilities. Seldom has the reaction of several mechanoreceptors to a growing contact force been investigated. Our hypothesis is 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 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.
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Keywords: Meissner and Pacinian corpuscles; self-mixing effect; evolutionary approach; vibrations measuring; visual output interferometry in; diagnostic instrument
n[if 424 equals=”Regular Issue”][This article belongs to International Journal of Algorithms Design and Analysis Review(ijadar)]
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References
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- Rovati L, Cattini S, Palanisamy N. Measurement of the fluid-velocity profile using a self-mixing superluminescent diode. Measurement Science and Technology. 2011 Jan 18;22(2):025402.
- Trupthi M, CH NC, SNEHA S, Prasad MH, Swathi M. LCDDF: An Adaptive and Learning based Framework with Feature Selection for Efficient Detection of Concept Drift in Data Streams. 2024.
- Milesi I, Norgia M, Pompilio PP, Svelto C, Dellaca RL. Measurement of local chest wall displacement by a custom self-mixing laser interferometer. IEEE Transactions on Instrumentation and Measurement. 2011 Mar 17;60(8):2894-901.
- Prashanthi J, Santhoshi TS, Goud KR, Chary N. IOT Security Protocols for Multimodal Biometric System-Based Identification of Individual vaultaccess. International Journal of Computer Techniques. 2024;11(1):158-163.
- Bhushan, P. V., Chary, C. N., Nithesh, V., & Singh, R. An Efficient System for Heart Risk Detection using Associative Classification and Genetic Algorithms. International Journal of Computer Techniques. 2017;4(6):131-139.
- BHUSHAN, P. V., NITESH, V., CHARY, C. N., & GUPTA, K. G. Novel Approach for Multi Cancers Prediction system using Various Data Mining Techniques. International Journal of Management, Technology And Engineering. 2018;8(VIII):1629-1640.
- J. Li, H. Niu, Y. Niu, Laser feedback interferometry and applications: a review, Opt. Eng. 56 (2017) 050901.
- E.E. Ramírez-Miquet, J. Perchoux, R. Da Costa Moreira, A. Luna-Arriaga, Y. Zhaoa, C. Tronche, O. Sotolongo- Costa, Optical feedback interferometry: From basics to applications of laser flowmetry, Rev. Cuba. Fis. 34 (2017) 48–57.
- Gupta KG, Chary CN, Krishna A. Study on Health care life Log by the Level of care Required using Keygraph Technology in Text Data Mining. Journal for Innovative Development in Pharmaceutical and Technical Science. 2018;1(1):22-27.
- R.L. Haupt, S.E. Haupt, Practical Genetic Algorithms, Second, John Wiley & Sons, Inc., Hoboken, NJ, USA, 2003.
- K.A. Stetson, Method of vibration measurements in heterodyne interferometry, Opt. Lett. 7 (1982) 233.
- H. Yuan, S. Poeggel, T. Newe, E. Lewis, C. Viphavakit, G. Leen, An experimental study of the effects of external physiological parameters on the photoplethysmography signals in the context of local blood pressure (Hydrostatic pressure changes), Sensors (Switzerland). 17 (2017).
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| Volume | 02 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 01 | |
| Received | April 10, 2024 | |
| Accepted | April 30, 2024 | |
| Published | May 30, 2024 |
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