Kristin M. Gunnarsdottir

According to our database, Kristin M. Gunnarsdottir authored at least 10 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Transfer Entropy between Intracranial EEG Nodes Highlights Network Dynamics that Cause and Stop Epileptic Seizures.

Simon Wing, Kristin M. Gunnarsdottir, Jorge Gonzalez-Martinez, Sridevi V. Sarma

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Sources and Sinks in Interictal iEEG Networks: An iEEG Marker of the Epileptogenic Zone.

Kristin M. Gunnarsdottir, Jorge Gonzalez-Martinez, Simon Wing, Sridevi V. Sarma

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Identifying Sleep Biomarkers to Evaluate Cognition in HIV.

Hilda Azimi, Kristin M. Gunnarsdottir, Sridevi V. Sarma, Alyssa A. Gamaldo, Rachel M. E. Salas, Charlene Gamaldo

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Estimating Intracranial EEG Signals at Missing Electrodes in Epileptic Networks.

Kristin M. Gunnarsdottir, Juan Bulacio, Jorge Gonzalez-Martinez, Sridevi V. Sarma

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

A Novel Sleep Stage Scoring System: Combining Expert-Based Rules with a Decision Tree Classifier.

Kristin M. Gunnarsdottir, Charlene Gamaldo, Rachel M. E. Salas, Joshua B. Ewen, Richard Allen, Sridevi V. Sarma

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Linear time-varying model characterizes invasive EEG signals generated from complex epileptic networks.

Adam Li, Kristin M. Gunnarsdottir, Sara K. Inati, Kareem A. Zaghloul, John T. Gale, Juan Bulacio, Jorge Gonzalez-Martinez, Sridevi V. Sarma

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Estimating unmeasured invasive EEG signals using a reduced-order observer.

Kristin M. Gunnarsdottir, Adam Li, Juan Bulacio, Jorge Gonzalez-Martinez, Sridevi V. Sarma

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

Using demographic and time series physiological features to classify sepsis in the intensive care unit.

Kristin M. Gunnarsdottir, Vijay Sadashivaiah, Matthew S. D. Kerr, Sabato Santaniello, Sridevi V. Sarma

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

To Score or Not to Score? A look at the distinguishing power of micro EEG analysis on an annotated sample of PSG studies conducted in an HIV cohort.

Yu Min Kang, Kristin M. Gunnarsdottir, Matthew S. D. Kerr, Rachel M. E. Salas, Joshua B. Ewen, Richard Allen, Charlene Gamaldo, Sridevi V. Sarma

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

A look at the strength of micro and macro EEG analysis for distinguishing insomnia within an HIV cohort.

Kristin M. Gunnarsdottir, Yu Min Kang, Matthew S. D. Kerr, Sridevi V. Sarma, Joshua B. Ewen, Richard Allen, Charlene Gamaldo, Rachel M. E. Salas

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015