Noninvasive Vein Detection Method Using Infrared Light

• doi: 10.1109/TLA.2013.6502814
• title: Non-Invasive Vein Detection Method using Infrared Light
• publisher: IEEE
• isbn:
• issn: 1548-0992
• rank: 3130
• access_type: LOCKED
• content_type: Journals
• abstract: This research aims at studying the feasibility to use Near Infrared Light (NIR) as a method to detect veins in a non-invasive procedure. The research is based on the construction of an artificial vision system which captures an image through a CMOS optical sensor to outline and see the venous network mesh. The acquired image is then processed and optimized using Matlab software to emphasize areas of interest and to eliminate unnecessary information. The project also includes a stage in which the image obtained is projected over the patients' skin, obtaining an artificial visualization of the venous network. The results set the bases for future research and potential applications in the field of health.
• article_number: 6502814
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6502814
• html_url: https://ieeexplore.ieee.org/document/6502814/
• abstract_url: https://ieeexplore.ieee.org/document/6502814/
• publication_title: IEEE Latin America Transactions
• conference_location:
• conference_dates:
• publication_number: 9907
• is_number: 6502768
• publication_year: 2013
• publication_date: Feb. 2013
• start_page: 263
• end_page: 267
• citing_paper_count: 4
• citing_patent_count: 0
• download_count: 615
• insert_date: 20130423
• index_terms:
  • ieee_terms:
    • Veins
    • MATLAB
    • Visualization
    • Graphical user interfaces
    • Educational institutions
    • Machine vision
  • author_terms:
    • artificial vision system
    • image processing
    • infrared light
    • vein detection
  • dynamic_index_terms:
    • Red-green-blue
    • Red, Green, Blue
    • El Paso
    • Para La
    • Para Las
• authors:
  • Author Name: Aida Marcotti
    Affiliation: Universidad Nacional de Córdoba, Argentina
    Author URL: https://ieeexplore.ieee.org/author/38666300900
    ID: 38666300900
    Order: 1
    Author Affiliations:
    • Universidad Nacional de Córdoba, Argentina
  • Author Name: Maria Belen Hidalgo
    Affiliation: Universidad Nacional de Córdoba, Argentina
    Author URL: https://ieeexplore.ieee.org/author/38666476200
    ID: 38666476200
    Order: 2
    Author Affiliations:
    • Universidad Nacional de Córdoba, Argentina
  • Author Name: Ladislao Mathe
    Affiliation: Universidad Nacional de Córdoba, Argentina
    Author URL: https://ieeexplore.ieee.org/author/38666564500
    ID: 38666564500
    Order: 3
    Author Affiliations:
    • Universidad Nacional de Córdoba, Argentina

Image Sensor

• sensor_type: CMOS
• resolution: not specified
• dynamic_range: not specified
• pixel_size: not specified
• dark_current: not specified

Optical Data

• focal_length: not specified
• aperture: not specified
• field_of_view: not specified
• distortion: not specified

Performance Metrics

Applications & Benefits

• cell_imaging: not specified
• benefits: not specified

Supporting Organizations

• supported_by: not specified

Manuscript Details

• publication_date: Feb. 2013

Relevancy Score

• score: 4
• missing_fields:
  • resolution
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise
  • cell_imaging
  • benefits
  • supported_by

Processed JSON Filename

request_91265c82-001c-4ac6-87c0-ee39e10b3a0a-noninvasive_vein_detection_method_using_infrared_light.json