Mems Biomedicals And Sensors

• doi: 10.1109/CICC.2009.5280887
• title: MEMS, biomedicals, and sensors
• publisher: IEEE
• isbn: 978-1-4244-4073-3
• issn: 2152-3630
• partnum: 09CH38126
• rank: 2966
• access_type: LOCKED
• content_type: Conferences
• abstract: The integration of CMOS circuits with sensors and MEMS technologies is changing the paradigm leading to systems on chips. These systems support a very diverse range of applications in communications, harsh environment sensing, and imaging. The applications of circuits for backend stimulation of biological tissue, and intracortical sensing enable critical advances in biomedical research.
• article_number: 5280887
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5280887
• html_url: https://ieeexplore.ieee.org/document/5280887/
• abstract_url: https://ieeexplore.ieee.org/document/5280887/
• publication_title: 2009 IEEE Custom Integrated Circuits Conference
• conference_location: San Jose, CA, USA
• conference_dates: 13-16 Sept. 2009
• publication_number: 5268172
• is_number: 5280726
• publication_year: 2009
• publication_date: 13-16 Sept. 2009
• start_page: 1
• end_page: 2
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 136
• insert_date: 20091009
• index_terms:
  • ieee_terms:
    • Micromechanical devices
    • Biosensors
    • Circuits
    • CMOS image sensors
    • Sensor systems
    • CMOS technology
    • System-on-a-chip
    • Biomedical imaging
    • Biological tissues
  • dynamic_index_terms:
    • Biomedical Research
    • Pulse Oximeter
    • Integrated Circuit
    • Communication Applications
    • System-on-chip
    • Varactor
    • Varactor Diodes
    • Stimulation Of Tissue
    • Diverse Range Of Applications
    • GHz Frequency Range
    • Time-to-digital Converter
• isbn_formats:
  • format: CD, value: 978-1-4244-4073-3, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4244-4071-9, isbnType: New-2005
• authors:
  • Author Name: Hasnain Lakdawala
    Affiliation: Intel Corporation
    Author URL: https://ieeexplore.ieee.org/author/37428017800
    ID: 37428017800
    Order: 1
    Author Affiliations:
    • Intel Corporation
  • Author Name: Kenneth Szajda
    Affiliation: LSI Logic
    Author URL: https://ieeexplore.ieee.org/author/37352736400
    ID: 37352736400
    Order: 2
    Author Affiliations:
    • LSI Logic

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: 13-16 Sept. 2009

Relevancy Score

• score: 8
• 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
  • authors
  • publication_date

Processed JSON Filename

request_f5f92dce-c050-4a13-ae0d-b475b5787e05-mems_biomedicals_and_sensors.json