This project has developed a real time, energy-aware wireless ECG monitoring system. The main contributions of this work are: (1) a novel CS approach that precludes large and dense matrix operations both at compression and recovery, and (2) several platform-dependent optimizations and parallelization techniques to achieve real-time CS recovery. To the best of our knowledge, this work is the first to demonstrate CS as an advantageous real-time and energy-efficient ECG compression technique, with a computationally light and energy-efficient ECG encoder on the state-of-the-art ShimmerTM wearable sensor node and a real-time decoder running on an iPhone as a representative of compact embedded (CE) device (acting as a WBSN coordinator).
Posted on September 24, 2010
more info: http://esl.epfl.ch/page-42817.html
Is the ECG necessary for using compressive sampling
sufengniu 5 months ago
i saw some of ecg representation on iphone is slightly hiccup. is it bluetooth problem?
mahananto 8 months ago