A Low Power Biomedical Signal Processing Systemonchip Design For Portable Brainheart Monitoring Systems

• doi: 10.1109/ICGCS.2010.5543103
• title: A low power biomedical signal processing system-on-chip design for portable brain-heart monitoring systems
• publisher: IEEE
• isbn: 978-1-4244-6877-5
• issn:
• partnum: 10EX4360
• rank: 1133
• access_type: LOCKED
• content_type: Conferences
• abstract: In this paper, an overview of a brain-heart monitoring system is first given. The latest development in miniature brain-heart monitoring system for emerging health applications is highlighted. Finally, the development of a low power biomedical signal processing and image reconstruction SoC design is presented. The significance of this SoC is to enable practical developments of portable real-time brain-heart monitoring systems. The proposed architecture comprises a novel functional near-infrared (fNIR) diffuse optical tomography system for brain imaging, an independent component analysis (ICA) processor for electroencephalogram (EEG) signal analysis, and a heart rate variability (HRV) analysis processor for electrocardiogram (ECG) signal analysis. Biomedical signals acquired from front-end sensor modules are processed in real-time or bypassed according to user settings. The processed data or biomedical signals is then losslessly compressed and sent to a remote science station for further analysis and 3D visualization. The final SoC is fabricated in UMC 90nm CMOS technology.
• article_number: 5543103
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5543103
• html_url: https://ieeexplore.ieee.org/document/5543103/
• abstract_url: https://ieeexplore.ieee.org/document/5543103/
• publication_title: The 2010 International Conference on Green Circuits and Systems
• conference_location: Shanghai, China
• conference_dates: 21-23 June 2010
• publication_number: 5523682
• is_number: 5542966
• publication_year: 2010
• publication_date: 21-23 June 2010
• start_page: 18
• end_page: 23
• citing_paper_count: 10
• citing_patent_count: 1
• download_count: 1406
• insert_date: 20100809
• index_terms:
  • ieee_terms:
    • Biomedical signal processing
    • System-on-a-chip
    • Process design
    • Signal design
    • Biomedical monitoring
    • Signal analysis
    • Independent component analysis
    • Biomedical optical imaging
    • Heart rate variability
    • Signal processing
  • dynamic_index_terms:
    • Signal Processing
    • Biomedical Signals
    • Signal Analysis
    • Independent Component
    • Heart Rate Variability
    • Independent Component Analysis
    • 3D Visualization
    • Heart Rate Variability Analysis
    • Lossless Compression
    • Lossless Data Compression
    • Portable Monitor
    • Remote Station
    • Diffuse Optical Tomography
    • Diffuse Optical Imaging
    • Parasympathetic
    • Parasympathetic System
    • Parasympathetic Nervous System
    • EEG Data
    • Base Station
    • Wireless Systems
    • Radio System
    • Forward Model
    • QRS Complex
    • R-wave
    • Adaptive Threshold
    • Mixed Signals
    • Heart Rate Variability Data
    • fNIRS Data
    • Infomax Independent Component Analysis
    • Lomb-Scargle
    • Biomedical Data
    • Square Function
    • Entropy Coding
    • Entropy Encoding
    • Transmission Bandwidth
    • Electrocardiogram Data
    • Inhomogeneous Medium
    • Homogeneity And Heterogeneity
• isbn_formats:
  • format: Online ISBN, value: 978-1-4244-6877-5, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4244-6876-8, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-4244-6878-2, isbnType: New-2005
• authors:
  • Author Name: Wai-Chi Fang
    Affiliation: Department of Electronics Engineering, National Chiao Tung University, Hsinchu, Taiwan
    Author URL: https://ieeexplore.ieee.org/author/37274389600
    ID: 37274389600
    Order: 1
    Author Affiliations:
    • Department of Electronics Engineering, National Chiao Tung University, Hsinchu, Taiwan
  • Author Name: Chiu-Kuo Chen
    Affiliation: Department of Electronics Engineering, National Chiao Tung University, Hsinchu, Taiwan
    Author URL: https://ieeexplore.ieee.org/author/37065514400
    ID: 37065514400
    Order: 2
    Author Affiliations:
    • Department of Electronics Engineering, National Chiao Tung University, Hsinchu, Taiwan
  • Author Name: Ericson Chua
    Affiliation: Department of Electronics Engineering, National Chiao Tung University, Hsinchu, Taiwan
    Author URL: https://ieeexplore.ieee.org/author/37543313900
    ID: 37543313900
    Order: 3
    Author Affiliations:
    • Department of Electronics Engineering, National Chiao Tung University, Hsinchu, Taiwan
  • Author Name: Chih-Chung Fu
    Affiliation: Department of Electronics Engineering, National Chiao Tung University, Hsinchu, Taiwan
    Author URL: https://ieeexplore.ieee.org/author/37538105200
    ID: 37538105200
    Order: 4
    Author Affiliations:
    • Department of Electronics Engineering, National Chiao Tung University, Hsinchu, Taiwan
  • Author Name: Shao-Yen Tseng
    Affiliation: Department of Electronics Engineering, National Chiao Tung University, Hsinchu, Taiwan
    Author URL: https://ieeexplore.ieee.org/author/37533903500
    ID: 37533903500
    Order: 5
    Author Affiliations:
    • Department of Electronics Engineering, National Chiao Tung University, Hsinchu, Taiwan
  • Author Name: Shih Kang
    Affiliation: Department of Electronics Engineering, National Chiao Tung University, Hsinchu, Taiwan
    Author URL: https://ieeexplore.ieee.org/author/37534870300
    ID: 37534870300
    Order: 6
    Author Affiliations:
    • Department of Electronics Engineering, National Chiao Tung University, Hsinchu, Taiwan

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: High sensitivity and low power consumption for various applications.

Supporting Organizations

• supported_by: National Science Council, National Science and Technology Program for System-on-Chip, Taiwan (R.O.C.)

Manuscript Details

• publication_date: 21-23 June 2010

Relevancy Score

• score: 5
• 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

Processed JSON Filename

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