Saba Emrani

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I received my BS and MS degrees in Electrical Engineering from Amirkabir University of Technology, Tehran, Iran and University of New Mexico, NM, respectively. In Fall 2012, I started my PhD studies here in the VISSTA lab at NCSU. I work as a part of NSF Nanosystems Engineering Research Center (NERC) for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST) at NCSU. My research interests include, but are not limited to, biomedical signal processing, topological data analysis and digital audio processing.

My research is about establishing robust and accurate wheeze detection algorithms for a battery-free wearable health monitoring device with very low computational complexity. In that direction, I currently work on topological approaches to detect and quantify the almost periodic structure of dynamical systems. I use delay-coordinate embedding as a tool to measure the periodicity, and persistent homology to analyze the structure of point clouds of delay-coordinate embeddings. I apply these techniques to breathing sound signals for wheeze detection and feature extraction.


  • Saba Emrani, Thanos Gentimis, and Hamid Krim, “Persistent Homology of Delay Embeddings”, to be submitted. Preprint
  • Saba Emrani,¬†Thanos Gentimis, and Hamid Krim, “Persistent Homology of Delay Embeddings and its Application in Wheeze Detection”, submitted to 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013. Preprint
  • Saba Emrani and¬†Hamid Krim, ” Wheeze Detection and Location using Spectro-temporal Analysis of Lung Sounds”, Proceeding of the 29th Southern Biomedical Engineering Conference, SBEC 2013. Preprint