一种用于无线胶囊内窥镜的带有片上神经模糊出血检测系统的新型智能CMOS图像传感器。
A New Smart CMOS Image Sensor with On-Chip Neuro-Fuzzy Bleeding Detection System for Wireless Capsule Endoscopy.
作者信息
Aliparast Peiman
机构信息
Department of Astronautics Research, Aerospace Research Institute, Ministry of Science Research and Technology, Tehran, Iran.
出版信息
J Med Signals Sens. 2020 Nov 11;10(4):249-259. doi: 10.4103/jmss.JMSS_56_19. eCollection 2020 Oct-Dec.
BACKGROUND
In this paper, we have presented a new custom smart CMOS image sensor (CIS) for low power wireless capsule endoscopy.
METHOD
The proposed new smart CIS includes a 256 × 256 current mode pixels array with a new on-chip adaptive neuro-fuzzy inference system that has been used to diagnosing bleeding images. We use a new pinned photodiode to realize the current mode of active pixels in the standard CMOS process. The proposed chip has been implemented in 0.18 μm CMOS 1P6M TSMC RF technology with a die area of 7 mm × 8 mm.
RESULTS AND CONCLUSION
A built-in smart bleeding detection system on CIS leads to decrease in the RF transmitter power consumption near zero. The average power dissipation of the proposed smart CIS is 610 μW.
背景
在本文中，我们展示了一种用于低功耗无线胶囊内窥镜的新型定制智能互补金属氧化物半导体图像传感器（CIS）。
方法
所提出的新型智能CIS包括一个256×256电流模式像素阵列以及一个用于诊断出血图像的新型片上自适应神经模糊推理系统。我们使用新型 pinned 光电二极管在标准CMOS工艺中实现有源像素的电流模式。所提出的芯片采用台积电0.18μm CMOS 1P6M射频技术实现，芯片面积为7mm×8mm。
结果与结论
CIS上的内置智能出血检测系统使射频发射器功耗降至接近零。所提出的智能CIS的平均功耗为610μW。
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