An Infrared Afe Chip And System With Noninvasive Blood Glucose Detection Output

• doi: 10.1109/ICSICT62049.2024.10831716
• title: An Infrared AFE Chip and System with Non-Invasive Blood Glucose Detection Output
• publisher: IEEE
• isbn: 979-8-3503-6184-1
• issn: 2835-7612
• rank: 1510
• access_type: LOCKED
• content_type: Conferences
• abstract: China, with the highest diabetic patient count globally as of 2021 stats, presents substantial market potential and broad prospects for non-invasive blood glucose detection (NIBGD) in healthcare. Infrared absorption spectroscopy (IAS) stands out among NIBGD methods for its advantages. Leveraging CMOS for its high integration, reliability, low power, and compactness, this study targets sensor exploration. The paper presents a long-wave IAS-based glucose detection scheme using multispectral imaging, with an AFE chip and system achieved via circuit design and Verilog-A modeling. Simulation results show the superior performance of PGA in gain deviation, and accurately discerning 50 mg/dL and 138 mg/dL glucose levels.
• article_number: 10831716
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10831716
• html_url: https://ieeexplore.ieee.org/document/10831716/
• abstract_url: https://ieeexplore.ieee.org/document/10831716/
• publication_title: 2024 IEEE 17th International Conference on Solid-State & Integrated Circuit Technology (ICSICT)
• conference_location: Zhuhai, China
• conference_dates: 22-25 Oct. 2024
• publication_number: 10830918
• is_number: 10830923
• publication_year: 2024
• publication_date: 22-25 Oct. 2024
• start_page: 1
• end_page: 3
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 35
• insert_date: 20250116
• index_terms:
  • ieee_terms:
    • Semiconductor device modeling
    • Integrated circuit technology
    • Spectroscopy
    • Multispectral imaging
    • Simulation
    • Medical services
    • Glucose
    • Integrated circuit modeling
    • Integrated circuit reliability
    • Blood
  • author_terms:
    • non-invasive blood glucose detection (NIBGD)
    • infrared multispectral imaging
    • analog front-end (AFE)
    • Verilog-A modelling
  • dynamic_index_terms:
    • Blood Glucose
    • Plasma Glucose
    • Glucose Levels
    • Non-invasive Detection
    • Non-invasive Glucose
    • Simulation Results
    • Multispectral Images
    • Multispectral Imagery
    • Circuit Design
    • Infrared Absorption Spectroscopy
    • Blood Glucose Levels
    • Infrared Imaging
    • Infrared Camera
    • Thermal Imaging
    • Thermal Camera
    • Analog-to-digital Converter
    • Analog-to-digital
    • Digital-to-analog Converter
    • Photocurrent
    • International Diabetes Federation
    • Self-monitoring Of Blood Glucose
    • Blood Glucose Monitoring
    • Capillary Blood Glucose
    • Digital Filter
    • Operational Amplifier
    • Op-amp
    • Quantization Noise
    • Infrared Detector
    • Integration Stage
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 979-8-3503-6184-1, isbnType: New-2005
  • format: Electronic ISBN, value: 979-8-3503-6183-4, isbnType: New-2005
• authors:
  • Author Name: Bin Li
    Affiliation: School of Microelectronics, Fudan University, Shanghai, China
    Author URL: https://ieeexplore.ieee.org/author/737268805060776
    ID: 737268805060776
    Order: 1
    Author Affiliations:
    • School of Microelectronics, Fudan University, Shanghai, China
  • Author Name: Jiyuan Guo
    Affiliation: School of Microelectronics, Fudan University, Shanghai, China
    Author URL: https://ieeexplore.ieee.org/author/37087443400
    ID: 37087443400
    Order: 2
    Author Affiliations:
    • School of Microelectronics, Fudan University, Shanghai, China
  • Author Name: Chengzhen Xie
    Affiliation: School of Microelectronics, Fudan University, Shanghai, China
    Author URL: https://ieeexplore.ieee.org/author/341739701574104
    ID: 341739701574104
    Order: 3
    Author Affiliations:
    • School of Microelectronics, Fudan University, Shanghai, China
  • Author Name: Jian Mei
    Affiliation: National Integrated Circuit Innovation Center, Shanghai, China
    Author URL: https://ieeexplore.ieee.org/author/514806608168715
    ID: 514806608168715
    Order: 4
    Author Affiliations:
    • National Integrated Circuit Innovation Center, Shanghai, China
  • Author Name: Lei Deng
    Affiliation: National Integrated Circuit Innovation Center, Shanghai, China
    Author URL: https://ieeexplore.ieee.org/author/37089924459
    ID: 37089924459
    Order: 5
    Author Affiliations:
    • National Integrated Circuit Innovation Center, Shanghai, China
  • Author Name: Rui Yin
    Affiliation: School of Microelectronics, Fudan University, Shanghai, China
    Author URL: https://ieeexplore.ieee.org/author/704162928554491
    ID: 704162928554491
    Order: 6
    Author Affiliations:
    • School of Microelectronics, Fudan University, Shanghai, China
    • Jiashan Fudan Institute, Jiaxing, China

Image Sensor

• sensor_type: CMOS
• resolution: 4x4 array-scale
• dynamic_range: Not specified
• pixel_size: Not specified
• dark_current: Not explicitly mentioned, but relevant to the MCT photodiode used in the IR detector circuitry, typically in e-/s.

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

• signal_to_noise_ratio: Not explicitly mentioned
• noise: Not explicitly mentioned, but reference to quantization noise in ADC.

Applications & Benefits

• cell_imaging: Non-invasive blood glucose detection
• benefits: High integration, reliability, low power consumption, miniaturization suitable for portable medical devices.

Supporting Organizations

• supported_by: Fudan University, National Integrated Circuit Innovation Center, Jiashan Fudan Institute

Manuscript Details

• publication_date: 22-25 Oct. 2024

Relevancy Score

• score: 9
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • temporal noise
  • fixed-pattern noise
  • microlenses
  • on-chip colour filters
  • global shutter
  • rolling shutter
  • backside illumination

Processed JSON Filename

request_f0a7ea09-bdae-47a5-a56c-a9071bfc2d65-an_infrared_afe_chip_and_system_with_noninvasive_blood_glucose_detection_output.json