Two Papers are Ranked the No.1 and No.2 Most Cited Articles published in 2013 and 2014 in IEEE T-BME

Just know that my two papers are ranked the No.1 and No.2 Most Cited Articles Published in 2013 and 2014 in the journal IEEE Transactions on Biomedical Engineering. The journal link is here: http://tbme.embs.org/research-highlights/most-cited-articles/

The two papers are:

Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG via Block Sparse Bayesian Learning
Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig, Bhaskar D. Rao
IEEE Trans. on Biomedical Engineering, vol. 60, no. 2, pp. 300-309, 2013

[Remark: This paper used BSBL to reconstruct raw fetal ECG. It showed that BSBL can directly recover non-sparse correlated signals without using any dictionary matrix. It may be the first solid evidence showing that exploiting correlation is an effective way to reconstruct non-sparse signals in any domains.]

Compressed Sensing of EEG for Wireless Telemonitoring with Low Energy Consumption and Inexpensive Hardware
Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig, Bhaskar D. Rao
IEEE Trans. on Biomedical Engineering, vol. 60, no. 1, pp. 221-224, 2013[This paper applied BSBL to wireless telemonitoring of EEG, showing DCT coefficients can be recovered using block-structure model. Some explanations on why DCT dictionary matrix is effective for raw EEG are further given in my ST-SBL paper.]