Keyword search (4,163 papers available)

"Sensing" Keyword-tagged Publications:

Title Authors PubMed ID
1 Evolution from the physical process-based approaches to machine learning approaches to predicting urban floods: a literature review Md Shike Bin Mazid Anik 40692624
ENCS
2 Research Trends in the Development of Block Copolymer-Based Biosensing Platforms Chung YH; Oh JK; 39590001
CHEMBIOCHEM
3 Non-invasive paper-based sensors containing rare-earth-doped nanoparticles for the detection of D-glucose López-Peña G; Ortiz-Mansilla E; Arranz A; Bogdan N; Manso-Silván M; Martín Rodríguez E; 38729020
CHEMBIOCHEM
4 Advances in the design and use of carbon dots for analytical and biomedical applications Adeola AO; Clermont-Paquette A; Piekny A; Naccache R; 37757783
CHEMBIOCHEM
5 Ratiometric Sensing of Glyphosate in Water Using Dual Fluorescent Carbon Dots Clermont-Paquette A; Mendoza DA; Sadeghi A; Piekny A; Naccache R; 37299928
BIOLOGY
6 Optical Fiber Array Sensor for Force Estimation and Localization in TAVI Procedure: Design, Modeling, Analysis and Validation Bandari N; Dargahi J; Packirisamy M; 34450813
ENCS
7 A historical perspective on porphyrin-based metal-organic frameworks and their applications Zhang X; Wasson MC; Shayan M; Berdichevsky EK; Ricardo-Noordberg J; Singh Z; Papazyan EK; Castro AJ; Marino P; Ajoyan Z; Chen Z; Islamoglu T; Howarth AJ; Liu Y; Majewski MB; Katz MJ; Mondloch JE; Farha OK; 33678810
CNSR
8 Gold Nano-Island Platforms for Localized Surface Plasmon Resonance Sensing: A Short Review. Badilescu S, Raju D, Bathini S, Packirisamy M 33066088
ENCS
9 First principles investigation on armchair zinc oxide nanoribbons as uric acid sensors. Singh P, Randhawa DKK, Tarun, Choudhary BC, Walia GK, Kaur N 31834483
ENCS

 

Title:Optical Fiber Array Sensor for Force Estimation and Localization in TAVI Procedure: Design, Modeling, Analysis and Validation
Authors:Bandari NDargahi JPackirisamy M
Link:https://pubmed.ncbi.nlm.nih.gov/34450813/
DOI:10.3390/s21165377
Publication:Sensors (Basel, Switzerland)
Keywords:finite element methodforcelocalizationoptical sensorsensingtransaortic valve implantation
PMID:34450813 Category: Date Added:2021-08-28
Dept Affiliation: ENCS
1 Robotic Surgery Laboratory, Mechanical, Industrial, and Aerospace Engineering Department, Concordia University, Montreal, QC H3G 2W1, Canada.
2 Optical Bio-Micro Systems Laboratory, Mechanical, Industrial, and Aerospace Engineering Department, Concordia University, Montreal, QC H3G 2W1, Canada.

Description:

Transcatheter aortic valve implantation has shown superior clinical outcomes compared to open aortic valve replacement surgery. The loss of the natural sense of touch, inherited from its minimally invasive nature, could lead to misplacement of the valve in the aortic annulus. In this study, a cylindrical optical fiber sensor is proposed to be integrated with valve delivery catheters. The proposed sensor works based on intensity modulation principle and is capable of measuring and localizing lateral force. The proposed sensor was constituted of an array of optical fibers embedded on a rigid substrate and covered by a flexible shell. The optical fibers were modeled as Euler-Bernoulli beams with both-end fixed boundary conditions. To study the sensing principle, a parametric finite element model of the sensor with lateral point loads was developed and the deflection of the optical fibers, as the determinant of light intensity modulation was analyzed. Moreover, the sensor was fabricated, and a set of experiments were performed to study the performance of the sensor in lateral force measurement and localization. The results showed that the transmitted light intensity decreased up to 24% for an external force of 1 N. Additionally, the results showed the same trend between the simulation predictions and experimental results. The proposed sensor was sensitive to the magnitude and position of the external force which shows its capability for lateral force measurement and localization.





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