753 citations · 763 across the 8 of their papers we have counts for
8 papers
Bayesian De-quantization and Data Compression for Low-Energy Physiological Signal Telemonitoring
Benyuan Liu, Hongqi Fan, Qiang Fu +1
We address the issue of applying quantized compressed sensing (CS) on low-energy telemonitoring. So far, few works studied this problem in applications where signals were only appr…
TROIKA: A General Framework for Heart Rate Monitoring Using Wrist-Type Photoplethysmographic Signals During Intensive Physical Exercise
Zhilin Zhang, Zhouyue Pi, Benyuan Liu
Heart rate monitoring using wrist-type photoplethysmographic (PPG) signals during subjects' intensive exercise is a difficult problem, since the signals are contaminated by extreme…
Py-oopsi: the python implementation of the fast-oopsi algorithm
Benyuan Liu
Fast-oopsi was developed by Joshua Vogelstein in 2009, which is now widely used to extract neuron spike activities from calcium fluorescence signals. Here, we propose detailed impl…
Scan-based Compressed Terahertz Imaging and Real-Time Reconstruction via the Complex-valued Fast Block Sparse Bayesian Learning Algorithm
Benyuan Liu, Hongqi Fan, Zaiqi Lu +1
Compressed Sensing based Terahertz imaging (CS-THz) is a computational imaging technique. It uses only one THz receiver to accumulate the random modulated image measurements where…
Energy Efficient Telemonitoring of Physiological Signals via Compressed Sensing: A Fast Algorithm and Power Consumption Evaluation
Benyuan Liu, Zhilin Zhang, Gary Xu +2
Wireless telemonitoring of physiological signals is an important topic in eHealth. In order to reduce on-chip energy consumption and extend sensor life, recorded signals are usuall…
Compression via Compressive Sensing : A Low-Power Framework for the Telemonitoring of Multi-Channel Physiological Signals
Benyuan Liu, Zhilin Zhang, Hongqi Fan +1
Telehealth and wearable equipment can deliver personal healthcare and necessary treatment remotely. One major challenge is transmitting large amount of biosignals through wireless…
Fast Marginalized Block Sparse Bayesian Learning Algorithm
Benyuan Liu, Zhilin Zhang, Hongqi Fan +1
The performance of sparse signal recovery from noise corrupted, underdetermined measurements can be improved if both sparsity and correlation structure of signals are exploited. On…
The Annealing Sparse Bayesian Learning Algorithm
Benyuan Liu, Hongqi Fan, Zaiqi Lu +1
In this paper we propose a two-level hierarchical Bayesian model and an annealing schedule to re-enable the noise variance learning capability of the fast marginalized Sparse Bayes…