Research of High SNR Low Power Readout Circuit for Biosensor Array

• Main Authors: Chun, Hung, 褚鴻
• Other Authors: Sun, Tai Ping
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/86839387233000567055

碩士 === 國立暨南國際大學 === 電機工程學系 === 102 === In this paper, to improve the signal to noise ratio for dual model readout circuit. CTIA bias control with the stable voltage bias sensing, It applicable lower current sensing sensors. When the sampling voltage signals is too low we use a four by one signal summation to increase signal to noise ratio. Since the sensors detect two types of biological to compared double output relationship for complex cardiovascular disease so Power consumption is also considerable. On the other hand the biomedical instrumentation is emphasized portability now, so we must pay attention to power consumption. That's all we designed the lowpower readout chip. Its power consumption save about 55 percent which is lower than the original, to achieve purpose of the low-power readout circuits. The circuit using TSMC 0.35um 2P4M 5V process production, the layout area of a single pixel is 50μm × 50μm, the single pixel have two CTIA circuit. Because single pixel connect the two biosensors so each of which has an array of 16x12, so the whole have array of 32x12. The readout circuit input current range of 100pA ~ 121nA, and signal to noise ratio is 58dB when summary switch no use, and the use of the summary switch to enhance signal to noise ratio obtain 65 dB. In the case of power consumption is about 14.15mw, in when you enable the design of low –power. Power consumption is 6.4mw. In this research, has the advantage of variety of target can be detected. It can meet the two kind proportional relationship of cardiovascular disease as a multifunctional biosensor readout circuit. It suitable for a wide range of high brightness and uniformity of the image to read the use of an automated imaging system analysis and discussion of the chip verification do switch modes and uniformity.