Title
3.8 mW electrocardiogram (ECG) filtered electrical impedance tomography IC using I/Q homodyne architecture for breast cancer diagnosis
Abstract
A low-power electrical impedance tomography (EIT) IC proposed for breast cancer diagnosis is implemented in 180nm CMOS process. For the breast cancer diagnosis, low power and high accuracy is required. The proposed IC reduces the power consumption to 3.8mW using the homodyne conversion mixer to lower the sampling rate of ADC. To gain high accuracy, the adaptive filter using the miller capacitor perfectly filters out the ECG signal. I/Q dual path architecture measures conductivity and permittivity components separately, so distance errors are reduced about 86% in simulation.
Year
DOI
Venue
2014
10.1109/ISCAS.2014.6865653
ISCAS
Keywords
Field
DocType
mammography,cmos process,electrocardiography,homodyne conversion,i/q dual path,cmos integrated circuits,distance error reduction,bioelectric potentials,tomography,adc sampling rate,ecg signal filtration,conductivity component measurement,homodyne detection,miller capacitor,electrical conductivity,breast cancer diagnosis,electrical impedance tomography,low-power electronics,biomedical equipment,ecg filtered electrical impedance tomography ic,capacitors,data acquisition,electric impedance measurement,cancer,homodyne conversion mixer,adaptive filters,simulation,permittivity component measurement,ecg filtering,size 180 nm,power 3.8 mw,permittivity,adaptive filter,biological tissues,biomedical electronics,low-power eit ic,i/q dual path architecture,medical image processing,i/q homodyne architecture,power consumption reduction,breast cancer,low power electronics,integrated circuits,accuracy,impedance
Permittivity,Capacitor,Breast cancer,Computer science,Sampling (signal processing),Electronic engineering,Adaptive filter,Direct-conversion receiver,Power consumption,Electrical impedance tomography
Conference
ISSN
Citations 
PageRank 
0271-4302
1
0.37
References 
Authors
0
4
Name
Order
Citations
PageRank
Yongsu Lee1398.50
Unsoo Ha2449.19
Kiseok Song315420.62
Hoi-Jun Yoo41574226.79