Supreeth Prajwal Shashikumar     Research     Publications     Teaching

Patents

  • Shamim Nemati, Gari D. Clifford, and Supreeth P. Shashikumar System for predicting or identifying patient deterioration or improvement, United States provisional patent application #62/534,322, filed July 19, 2017

  • Shamim Nemati, Supreeth P. Shashikumar, Gari D. Clifford, and Amit Shah. Method for detecting abnormal cardiac activity, United States provisional patent application #62/437,457, filed December 21, 2016

Published

  • Supreeth P. Shashikumar, Qiao Li, Gari D Clifford, and Shamim Nemati. Multiscale Network representation of physiological time series for early prediction of sepsis, In Physiological Measurement, 2017 [Link] [Physiological Measurement Highlights of 2017]

  • Supreeth P. Shashikumar, Matthew D. Stanley, Ismail Sadiq, Andre Holder, Gari D Clifford, and Shamim Nemati. Early sepsis detection in critical care patients using multiscale blood pressure and heart rate dynamics, In Journal of Electrocardiology, 2017 [Link]

  • Supreeth P. Shashikumar, Amit J. Shah, Qiao Li, Gari D Clifford, and Shamim Nemati. A deep learning approach to monitoring and detecting atrial fibrillation using wearable technology, In Biomedical & Health Informatics, 2017 IEEE International Conference on [Link]

  • Biswajit D. Sarma, Supreeth P. Shashikumar, and S.R.M. Prasanna. Improved vowel onset and offset points detection using bessel features, In Signal Processing and Communications (SPCOM), 2014 International Conference on [Link]

  • Supreeth P. Shashikumar, Amit J. Shah, Gari D. Clifford, and Shamim Nemati. Detection of Paroxysmal Atrial Fibrillation using attention based bidirectional Recurrent Neural Networks, Accepted to the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), London, UK, 2018 [Pre-print]

  • Joel Henry, Dennis Lynch, Jeff Mals, Supreeth P. Shashikumar, Andre holder, Ashish Sharma and Shamim Nemati, A FHIR-Enabled streaming sepsis prediction system for ICUs, Accepted to the 40th International Conference of the IEEE Engineering in Medicine and Biology Society 2018 (EMBS 2018), Honolulu, Hawaii, 2018

Submitted/In preparation

  • Supreeth P. Shashikumar, Shamim Nemati, et al. A deep learning approach to early prediction of Sepsis in ICU, In preparation

  • Erik Reinertsen, Supreeth P. Shashikumar, Amit J. Shah, Shamim Nemati, and Gari D. Clifford, Heart rate-locomotor activity interactions assessed by transfer entropy and network dynamics are altered in schizophrenia, Submitted to Physiological Measurements

  • Qiao Li, Qichen Li, Supreeth P. Shashikumar, et al., Sleep Staging Classification from Electrocardiogram using a Deep Learning Approach, In preparation