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A New Smart CMOS Image Sensor with On-Chip Neuro-Fuzzy Bleeding Detection System for Wireless Capsule Endoscopy
1Department of Astronautics Research, Aerospace Research Institute, Ministry of Science Research and Technology, Tehran, Iran.
Journal of Medical Signals and Sensors
|February 12, 2021
Summary
This study introduces a smart CMOS image sensor for wireless capsule endoscopy, significantly reducing power consumption for bleeding detection. The new sensor achieves near-zero radio frequency transmitter power usage.
Area of Science:
- Biomedical Engineering
- Microelectronics
- Medical Imaging
Background:
- Wireless capsule endoscopy requires low-power image sensors.
- Existing systems face challenges with power consumption during data transmission.
Purpose of the Study:
- To develop a custom smart CMOS image sensor (CIS) for low-power wireless capsule endoscopy.
- To integrate an on-chip system for intelligent bleeding image diagnosis.
Main Methods:
- Designed a 256x256 current mode pixel array CIS.
- Incorporated an adaptive neuro-fuzzy inference system for bleeding detection.
- Utilized a pinned photodiode for current-mode active pixels in a standard 0.18 μm CMOS process.
Main Results:
- Achieved an average power dissipation of 610 μW for the smart CIS.
- Demonstrated a smart bleeding detection system integrated directly onto the CIS.
- Significantly reduced radio frequency (RF) transmitter power consumption.
Conclusions:
- The integrated smart bleeding detection system drastically lowers RF transmitter power needs.
- The developed smart CIS offers a low-power solution for wireless capsule endoscopy.
- This innovation enhances the feasibility of long-duration endoscopic procedures.
