TY - GEN
T1 - On-chip Data Compression Scheme for Lung EIT Signal Acquisition and Recovery
AU - Liu, Boxiao
AU - Heng, Chun Huat
AU - Wang, Guoxing
AU - Lian, Yong
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - An on-chip data compression scheme, suitable for electrical impedance tomography signal acquisition and recovery is proposed. For typical 16 electrode lung electrical impedance tomography system, 13 channel high frequency signals are acquired and I/Q demodulated to different frequencies. Frequency division signals are summed up and sampled by only two delta sigma modulators with high resolution. Thus 84.6% reduction of ADC usage is achieved, and the output data is repacked with compression ratio of 9.75. After decimation, each I/Q signal is recovered with 10-bit resolution by applying Blackman window corrected fast Fourier transformation algorithm.
AB - An on-chip data compression scheme, suitable for electrical impedance tomography signal acquisition and recovery is proposed. For typical 16 electrode lung electrical impedance tomography system, 13 channel high frequency signals are acquired and I/Q demodulated to different frequencies. Frequency division signals are summed up and sampled by only two delta sigma modulators with high resolution. Thus 84.6% reduction of ADC usage is achieved, and the output data is repacked with compression ratio of 9.75. After decimation, each I/Q signal is recovered with 10-bit resolution by applying Blackman window corrected fast Fourier transformation algorithm.
KW - Blackman window
KW - Electrical impedance tomography
KW - fast Fourier transformation
KW - frequency division
KW - on-chip data compression
UR - https://www.scopus.com/pages/publications/85062778970
U2 - 10.1109/ICDSP.2018.8631589
DO - 10.1109/ICDSP.2018.8631589
M3 - 会议稿件
AN - SCOPUS:85062778970
T3 - International Conference on Digital Signal Processing, DSP
BT - 2018 IEEE 23rd International Conference on Digital Signal Processing, DSP 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 23rd IEEE International Conference on Digital Signal Processing, DSP 2018
Y2 - 19 November 2018 through 21 November 2018
ER -