890 citations · 3.4k across the 17 of their papers we have counts for
17 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…
Photoplethysmography-Based Heart Rate Monitoring in Physical Activities via Joint Sparse Spectrum Reconstruction
Zhilin Zhang
Goal: A new method for heart rate monitoring using photoplethysmography (PPG) during physical activities is proposed. Methods: It jointly estimates spectra of PPG signals and simul…
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…
Spatiotemporal Sparse Bayesian Learning with Applications to Compressed Sensing of Multichannel Physiological Signals
Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig +2
Energy consumption is an important issue in continuous wireless telemonitoring of physiological signals. Compressed sensing (CS) is a promising framework to address it, due to its…
Training-Free Non-Intrusive Load Monitoring of Electric Vehicle Charging with Low Sampling Rate
Zhilin Zhang, Jae Hyun Son, Ying Li +4
Non-intrusive load monitoring (NILM) is an important topic in smart-grid and smart-home. Many energy disaggregation algorithms have been proposed to detect various individual appli…
Compressed Sensing for Energy-Efficient Wireless Telemonitoring: Challenges and Opportunities
Zhilin Zhang, Bhaskar D. Rao, Tzyy-Ping Jung
As a lossy compression framework, compressed sensing has drawn much attention in wireless telemonitoring of biosignals due to its ability to reduce energy consumption and make poss…