Near-Infrared Vein Visualization in Index Finger Pollicization

Ficke, Brooks W.; Ransom, Erin F.; Oakes, Jerry

doi:10.1016/j.jhsa.2017.03.039

Cited by 10 publications

(8 citation statements)

References 3 publications

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“…The CLAHE is an algorithm which was developed in 1994. The primary thought of this calculation is to cut the produced histogram in the dark level incline of a picture where the pixel in each area is similarly 133 appropriated with the privately created histogram and it is trailed by redistributing of the pixels over the entire histogram to influence the histogram to process more indistinguishable [14]. The difference factor is characterized as exclusive of the normal histogram substance in a low factor neighborhood histograms, the most extreme incline will be low and in this way result in restricted differentiation improvement.…”

Section: Contrast Limited Adaptive Histogram Equalization (Clahe)mentioning

confidence: 99%

“…Moreover, the human eyes only able to see in the visible wavelength between 380nm which treated as violet and 720nm which red and The tissues underlying in the human skin absorbs the light differentially where the absorption ratio can be increased by the deoxygenated blood hemoglobin [14]. However, the vein cannot be seen clearly on the skin [15] because of its diverted skin tone [7].…”

Section: Introductionmentioning

confidence: 99%

“…Human skin infrared reflection [12] Moreover, the vein pictures by the assistance of NIR LED is noninvasive with no known unsafe impacts. It isn't trustworthy for distinguishing profound supply routes and veins, for example, the advanced conduit [14].…”

Section: Introductionmentioning

confidence: 99%

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A Real Time Vein Detection System

Ahmed

Habaebi

Islam

2018

IJEECS

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<p>Blood veins detection process can be cumbersome for nurses and medical practioners when it comes to special overweight type of patients.This simple routine procedure can lead the process into an extreme calamity for these patients. In this paper, we emphasized on a process for the detection of the vein in real time using the consecrations of Matlab to prevent or at least reduce the number of inescapable calamity for patients during the infusion of a needle by phlebotomy or doctor in everyday lives. Hemoglobin of the blood tissues engrossed the Near Infrared (NIR) illuminated light and Night vision camera is used to capture the scene and enhance the vein pattern clearly using Contrast Limited Adaptive Histogram Equalization (CLAHE) method. This simple approach can successfully also lead to localizing bleeding spots, clots from stroke …etc among other things.</p>

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Section: Contrast Limited Adaptive Histogram Equalization (Clahe)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Real Time Vein Detection System

Ahmed

Habaebi

Islam

2018

IJEECS

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“…Among other mention-worthy techniques such as Far-infrared (FIR) and Near-infrared (NIR) is able to detect finger veins accurately. NIR and FIR both camera technologies possess the capability of infiltrating 5mm under the skin tissue and illuminating 740-940 nanometers [6] whereas human eyes are only able to see in between 380-720 nanometers in the visible light spectrum [7]. FIR detects tissues with higher temperature adjacent to the outside skin while NIR captures venous networks which carries blood due to the blood having the ability to absorb infrared radiation.…”

Section: Introductionmentioning

confidence: 99%

Pre-trained based CNN model to identify finger vein

Fairuz¹,

Habaebi²,

Elsheikh³

2019

Bulletin EEI

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In current biometric security systems using images for security authentication, finger vein-based systems are getting special attention in particular attributable to the facts such as insurance of data confidentiality and higher accuracy. Previous studies were mostly based on finger-print, palm vein etc. however, due to being more secure than fingerprint system and due to the fact that each person's finger vein is different from others finger vein are impossible to use to do forgery as veins reside under the skin. The system that we worked on functions by recognizing vein patterns from images of fingers which are captured using near Infrared(NIR) technology. Due to the lack of an available database, we created and used our own dataset which was pre-trained using transfer learning of AlexNet model and verification is done by applying correct as well as incorrect test images. The result of deep convolutional neural network (CNN) based several experimental results are shown with training accuracy, training loss, Receiver Operating Characteristic (ROC) Curve and Area Under the Curve (AUC).

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“…It should be remembered that visualization and palpation of the subcutaneous veins can be difficult in patients in critical condition (bleeding, hypovolemic shock, burns of limbs, or hypothermia). In this case, infrared thermography [3] and near-infrared vein visualization [4] can be applied. If the catheterization of the subcutaneous veins is difficult or impossible, then intraosseous access (IO) is recommended by current clinical guidelines [5].…”

Section: Introductionmentioning

confidence: 99%

Ultrasound-Guided Vascular Access during Cardiopulmonary Resuscitation

Kasatkin¹,

Urakov²,

Nigmatullina³

2018

Special Topics in Resuscitation

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The chapter considers the possibilities for using ultrasound to increase the efficiency and safety of the intravascular access in patients during cardiac arrest, cardiopulmonary resuscitation, and advanced life support. It provides the grounds for the real-time use of ultrasound for ensuring satisfactory central vascular access; the main principles of this methodology and current recommendations are described as well. In addition, the article presents special aspects of visualization of ultrasound vessels in cardiopulmonary resuscitation, as well as puncture and catheterization techniques. It is crucial that resuscitators, who are often at the forefront of patient resuscitation, understand how to properly use this potentially life-saving procedure.

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Near-Infrared Vein Visualization in Index Finger Pollicization

Cited by 10 publications

References 3 publications

A Real Time Vein Detection System

A Real Time Vein Detection System

Pre-trained based CNN model to identify finger vein

Ultrasound-Guided Vascular Access during Cardiopulmonary Resuscitation

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