Optical Fibre Pressure Sensor in Medicine: A Study

Year : 2025 | Volume : 12 | Issue : 03 | Page : 18 27
    By

    Ayesha Khalil Mulani,

  • Kazi Kutubuddin Sayyad Liyakat,

  1. Student, Department of E&TC Engineering, BMIT, Solapur, Maharashtra, India
  2. Professor &Head, Department of E&TC Engineering, BMIT, Solapur, Maharashtra, India

Abstract

In the intricate landscape of human health, precise measurement of physiological parameters is paramount for accurate diagnosis, effective treatment, and continuous patient monitoring. Among these vital parameters, pressure plays a critical role – from the subtle pulsatile rhythm of blood flow to the immense force of an intracranial hemorrhage. For decades, traditional electronic pressure sensors have served this purpose, yet they often come with inherent limitations: concerns about electrical interference, the need for bulky equipment, and potential safety risks in sensitive environments like Magnetic Resonance Imaging (MRI) suites. Optical fibre pressure sensors represent more than just a technological advancement; they signify a paradigm shift towards safer, more precise, and less invasive medical diagnostics. By harnessing the fundamental properties of light, these tiny threads are poised to illuminate the intricate workings of the human body, providing clinicians with unprecedented insights and ultimately, paving the way for improved patient outcomes and a healthier future.

Keywords: Optical Fibre, Pressure sensor, Medicine, Medical pressure, Fabry-Pérot

[This article belongs to Recent Trends in Sensor Research & Technology ]

How to cite this article:
Ayesha Khalil Mulani, Kazi Kutubuddin Sayyad Liyakat. Optical Fibre Pressure Sensor in Medicine: A Study. Recent Trends in Sensor Research & Technology. 2025; 12(03):18-27.
How to cite this URL:
Ayesha Khalil Mulani, Kazi Kutubuddin Sayyad Liyakat. Optical Fibre Pressure Sensor in Medicine: A Study. Recent Trends in Sensor Research & Technology. 2025; 12(03):18-27. Available from: https://journals.stmjournals.com/rtsrt/article=2025/view=235206


References

  1.  Liyakat KK. Analysis for field distribution in optical waveguide using linear Fem method. Journal of Optical communication Electronics. 2023;9(1):23-8.
  2. Mulani AO, Patil RM, Liyakat KK. Modelo de apariencia discriminatorio para un sólido seguimiento en línea de múltiples objetivos. Télématique: Revista Electrónica de Estudios Telemáticos. 2023;22(1):24-43.
  3. Liyakat KS, Liyakat KK. Dispersion compensation in optical fiber: a review. Journal of Telecommunication Study. 2023 Mar;8(3):14-9.
  4. Liyakat SS. Quantum Key Distribution in Optical Fiber Communication: A Study. Trends in Opto-electro & Optical Communication. 2025;15(1):30-40p.
  5. Bhandare SN, Mule PR, Yeole YA, More KD, Khadake SB. Vehicle Tracking And Accident Alert System 2025
  6. Parihar B, Kiran A, Valaboju S, Rashid SZ, Liyakat KK, DR AS. Enhancing Data Security in Distributed Systems Using Homomorphic Encryption and Secure Computation Techniques. InITM Web of Conferences 2025 (Vol. 76, p. 02010). EDP Sciences.
  7. Liyakat KK, Khadake SB, Tamboli DA, Sawant VA, HM M, Sathe S. AI-Driven-IoT (AIIoT) Based Decision-Making-KSK Approach in Drones for Climate Change Study. In2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS) 2024 Dec 12 (pp. 1735-1744). IEEE.
  8. Liyakat KK. Detecting malicious nodes in IoT networks using machine learning and artificial neural networks. In2023 International Conference on Emerging Smart Computing and Informatics (ESCI) 2023 Mar 1 (pp. 1-5). IEEE.
  9. Liyakat KK. Malicious node detection in IoT networks using artificial neural networks: A machine learning approach. InIntelligent Networks (pp. 182-197). CRC Press.
  10. Kasat K, Shaikh N, Rayabharapu VK, Nayak M, Liyakat KK. Implementation and recognition of waste management system with mobility solution in smart cities using Internet of Things. In2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) 2023 Aug 23 (pp. 1661-1665). IEEE. .
  11. Kazi K. Modelling and Simulation of Electric Vehicle for Performance Analysis: BEV and HEV Electrical Vehicle Implementation Using Simulink for E-Mobility Ecosystems. InE-Mobility in Electrical Energy Systems for Sustainability 2024 (pp. 295-320). IGI Global Scientific Publishing.
  12. Kazi KS. Braille-Lippi Numbers and Characters Detection and Announcement System for Blind Children Using KSK Approach: AI-Driven Decision-Making Approach. InDriving Quality Education Through AI and Data Science 2025 (pp. 531-556). IGI Global Scientific Publishing.
  13. Kazi KS. Advancing Towards Sustainable Energy With Hydrogen Solutions: Adaptation and Challenges. InGeopolitical
  14. Kazi KS. A Study on AI-Driven Internet of Battlefield Things (IoBT)-Based Decision Making: KSK Approach in IoBT. InMerging Artificial Intelligence With the Internet of Things 2025 (pp. 203-238). IGI Global Scientific Publishing.
  15. Kazi KS. KK Approach to Increase Resilience in Internet of Things: A T-Cell Security Concept. InAnalyzing Privacy and Security Difficulties in Social Media: New Challenges and Solutions 2025 (pp. 87-120). IGI Global Scientific Publishing.
  16. Kazi KS. Machine learning-based pomegranate disease detection and treatment. InRevolutionizing Pest Management for Sustainable Agriculture 2024 (pp. 469-498). IGI Global.
  17. Kazi KS. Computer-aided diagnosis in ophthalmology: A technical review of deep learning applications. Transformative Approaches to Patient Literacy and Healthcare Innovation. 2024:112-35.
  18. Kazi KS. Machine learning (ML)-based Braille Lippi characters and numbers detection and announcement system for blind children in learning. InSocial Reflections of Human- Computer Interaction in Education, Management, and Economics 2024 (pp. 16-39). IGI Global.
  19. Kazi KS. ChatGPT: An automated teacher& guide to learning. InAI Algorithms and ChatGPT for Student Engagement in Online Learning 2024 (pp. 1-20). IGI Global Scientific Publishing.
  20. Liyakat KK. Machine learning approach using artificial neural networks to detect malicious nodes in IoT networks. InInternational Conference on Machine Learning, IoT and Big Data 2023 Mar 10 (pp. 123-134). Singapore: Springer Nature Singapore.
  21. Sayyad (2025c). KK Approach to Increase Resilience in Internet of Things: A T-Cell Security Concept. In D. Darwish & K. Charan (Eds.), Analyzing Privacy and Security Difficulties in Social Media: New Challenges and Solutions (pp. 87-120). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-9491-5.ch005
  22. Kazi KS. KK Approach for IoT Security: T-Cell Concept. InDeep Learning Innovations for Securing Critical Infrastructures 2025 (pp. 367-388). IGI Global Scientific Publishing
  23. Kazi KS, Shinde SS, Nerkar PM, Kazi SS, Kazi VS. Machine learning for brand protection: A review of a proactive defense mechanism. Avoiding Ad Fraud and Supporting Brand Safety: Programmatic Advertising Solutions. 2025:175-220.
  24. Upadhyaya, A. N., Surekha, C., Malathi, P., Suresh, G., Suriyan, K., & Liyakat, K. K. S. (2025). Pioneering cognitive computing for transformative healthcare innovations. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.5086894.
  25. Liyakat KK, Khadake SB, More PS, Shinde RJ, Kondubhairi KP, Kamble SS. AI- Driven IoT based Decision Making for Hepatitis Diseases Patient’s Healthcare Monitoring: KSK Approach for Hepatitis Patient Monitoring. In2025 7th International Conference on Intelligent Sustainable Systems (ICISS) 2025 Mar 12 (pp. 256-263). IEEE.
  26. Liyakat KK, Khadake SB, More PS, Shinde RJ, Kondubhairi KP, Kamble SS. AI- Driven IoT based Decision Making for Hepatitis Diseases Patient’s Healthcare Monitoring: KSK Approach for Hepatitis Patient Monitoring. In2025 7th International Conference on Intelligent Sustainable Systems (ICISS) 2025 Mar 12 (pp. 256-263). IEEE.
  27. Liyakat KK, Khadake SB, Ingale BR, DD D, Sudake SS, Awatade MM. Kidney Diseases Patient Healthcare Monitoring using AI-Driven-IoT (AIIoT)-An KSK1 Approach. In2025 7th International Conference on Intelligent Sustainable Systems (ICISS) 2025 Mar 12 (pp. 264-272). IEEE.
Regular Issue Subscription Review Article
Volume 12
Issue 03
Received 08/08/2025
Accepted 14/08/2025
Published 30/12/2025
Publication Time 144 Days
113

Login


My IP

PlumX Metrics