A Wireless Capsule Endoscope System With Lowpower Controlling And
Processing Asic
- doi: 10.1109/TBCAS.2008.2006493
-
title: A Wireless Capsule Endoscope System With
Low-Power Controlling and Processing ASIC
- publisher: IEEE
- isbn:
- issn: 1940-9990
- rank: 995
- access_type: LOCKED
- content_type: Journals
-
abstract: This paper presents the design of a wireless
capsule endoscope system. The proposed system is mainly composed of a
CMOS image sensor, a RF transceiver and a low-power controlling and
processing application specific integrated circuit (ASIC). Several
design challenges involving system power reduction, system
miniaturization and wireless wake-up method are resolved by employing
optimized system architecture, integration of an area and power
efficient image compression module, a power management unit (PMU) and a
novel wireless wake-up subsystem with zero standby current in the ASIC
design. The ASIC has been fabricated in 0.18-mum CMOS technology with a
die area of 3.4 mm * 3.3 mm. The digital baseband can work under a power
supply down to 0.95 V with a power dissipation of 1.3 mW. The prototype
capsule based on the ASIC and a data recorder has been developed. Test
result shows that proposed system architecture with local image
compression lead to an average of 45% energy reduction for transmitting
an image frame.
- article_number: 4738433
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4738433
-
html_url:
https://ieeexplore.ieee.org/document/4738433/
-
abstract_url:
https://ieeexplore.ieee.org/document/4738433/
-
publication_title: IEEE Transactions on Biomedical
Circuits and Systems
- conference_location:
- conference_dates:
- publication_number: 4156126
- is_number: 4768995
- publication_year: 2009
- publication_date: Feb. 2009
- start_page: 11
- end_page: 22
- citing_paper_count: 125
- citing_patent_count: 3
- download_count: 2186
- insert_date: 20090106
-
index_terms:
-
ieee_terms:
- Endoscopes
- Process control
- Control systems
- Application specific integrated circuits
- Wireless sensor networks
- Image coding
- CMOS technology
- CMOS image sensors
- Radio frequency
- Transceivers
-
author_terms:
- Application specific integrated circuit (ASIC)
- image compression
- JPEG-LS
- low power
- power management unit
- wake-up
- wireless capsule endoscope
-
dynamic_index_terms:
- Endoscopic System
- Wireless Capsule Endoscopy
- Record Data
- Image Sensor
- Camera Sensor
- Image Frames
- CMOS Technology
- Image Compression
- Compression Efficiency
- Power Consumption
- Color Space
- Color Components
- Printed Circuit Board
- Supply Voltage
- Neighboring Pixels
- Neighborhood Pixels
- Image Filtering
- High Spatial Frequency
- Contextual Memory
- RF Power
- Hardware Architecture
- Schottky Diode
- Schottky Barrier Diodes
- Charge Pump
- Cyclic Redundancy Check
- Dc Supply
- Standby Mode
- Pipeline Stages
- Datapath
- Maximum Frame Rate
- Maximal Frame
- Run Mode
- Conventional Endoscopy
- State Machine
- Finite-state
- Finite State Machine
-
authors:
-
Author Name: Xinkai Chen
Affiliation: Department of Electrical Engineering,
Tsinghua University, Beijing, China
Author URL:
https://ieeexplore.ieee.org/author/37291283500
ID: 37291283500
Order: 1
Author Affiliations:
-
Department of Electrical Engineering, Tsinghua University,
Beijing, China
-
Author Name: Xiaoyu Zhang
Affiliation: Department of Electrical Engineering,
Tsinghua University, Beijing, China
Author URL:
https://ieeexplore.ieee.org/author/37577942400
ID: 37577942400
Order: 2
Author Affiliations:
-
Department of Electrical Engineering, Tsinghua University,
Beijing, China
-
Author Name: Linwei Zhang
Affiliation: Institute of Microelectronics,
Tsinghua University, Beijing, China
Author URL:
https://ieeexplore.ieee.org/author/37578534800
ID: 37578534800
Order: 3
Author Affiliations:
-
Institute of Microelectronics, Tsinghua University, Beijing,
China
-
Author Name: Xiaowen Li
Affiliation: Department of Electrical Engineering,
Tsinghua University, Beijing, China
Author URL:
https://ieeexplore.ieee.org/author/37423491800
ID: 37423491800
Order: 4
Author Affiliations:
-
Department of Electrical Engineering, Tsinghua University,
Beijing, China
-
Author Name: Nan Qi
Affiliation: Department of Electrical Engineering,
Tsinghua University, Beijing, China
Author URL:
https://ieeexplore.ieee.org/author/37085494119
ID: 37085494119
Order: 5
Author Affiliations:
-
Department of Electrical Engineering, Tsinghua University,
Beijing, China
-
Author Name: Hanjun Jiang
Affiliation: Institute of Microelectronics,
Tsinghua University, Beijing, China
Author URL:
https://ieeexplore.ieee.org/author/37272624600
ID: 37272624600
Order: 6
Author Affiliations:
-
Institute of Microelectronics, Tsinghua University, Beijing,
China
-
Author Name: Zhihua Wang
Affiliation: Institute of Microelectronics,
Tsinghua University, Beijing, China
Author URL:
https://ieeexplore.ieee.org/author/37279252700
ID: 37279252700
Order: 7
Author Affiliations:
-
Institute of Microelectronics, Tsinghua University, Beijing,
China
Image Sensor
- sensor_type: CMOS
- resolution: VGA
- dynamic_range: not stated
- pixel_size: not stated
- dark_current: <10 uA in standby mode
Optical Data
- focal_length: not stated
- aperture: not stated
- field_of_view: not stated
- distortion: not stated
Performance Metrics
- frame_rate: 30 fps
- signal_to_noise_ratio: not stated
- sensitivity: not stated
- shutter_speed: not stated
-
power_consumption: 40 mW in active mode, <10 uA in
standby mode
- noise: not stated
Applications & Benefits
-
cell_imaging: Used for visual examination of the
digestive tract in capsule endoscopy.
-
benefits: Provides wireless transmission of images,
enabling non-invasive procedures.
Supporting Organizations
-
supported_by: Tsinghua University, National Natural
Science Foundation of China
Manuscript Details
- publication_date: Feb. 2009
Relevancy Score
- score: 9
-
missing_fields:
- fill factor
- quantum efficiency
- readout speed
- temporal noise
- fixed-pattern noise
- analog-to-digital conversion techniques
- microlenses
- on-chip colour filters
- global or rolling shutters
- backside illumination
Processed JSON Filename
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