Topological Data Analysis of Electroencephalogram Signals for Pediatric Obstructive Sleep Apnea.
Manjunath S, Perea JA, Sathyanarayana A.
Annu Int Conf IEEE Eng Med Biol Soc. 2023 07. 2023:1-4. PMID: 38083500
Links
Awards and Honors
AES Young Investigator Award
American Epilepsy Society
Women in AMIA Leadership Scholar
American Medical Informatics Association
Regional Collegiate Award
National Center for Women & Information Technology
NCWIT Collegiate Award Honorable Mention
National Center for Women & Information Technology
Doctoral Dissertation Fellowship
University of Minnesota
Big Data for Computational Medicine Fellowship
National Institute of Health
Bibliography
Measuring Real-Time Medication Effects From Electroencephalography.
Sathyanarayana A, El Atrache R, Jackson M, Cantley S, Reece L, Ufongene C, Loddenkemper T, Mandl KD, Bosl WJ.
J Clin Neurophysiol. 2024 Jan 01. 41(1):72-82. PMID: 35583401
Measuring the effects of sleep on epileptogenicity with multifrequency entropy.
Sathyanarayana A, El Atrache R, Jackson M, Alter AS, Mandl KD, Loddenkemper T, Bosl WJ.
Clin Neurophysiol. 2021 09. 132(9):2012-2018. PMID: 34284235
Nonlinear Analysis of Visually Normal EEGs to Differentiate Benign Childhood Epilepsy with Centrotemporal Spikes (BECTS).
Sathyanarayana A, El Atrache R, Jackson M, Alter AS, Mandl KD, Loddenkemper T, Bosl WJ.
Sci Rep. 2020 05 21. 10(1):8419. PMID: 32439999
American Epilepsy Society Annual Meeting
Aarti Sathyanrayana, Rima El Atrache, Michele Jackson, Kenneth Mandl, Tobias Loddenkemper, William J. Bosl.
Measuring drug effects on brain dynamics through electroencephalography . 2019. (2019).
American Medical Informatics Association Annual Symposium
Aarti Sathyanarayana, PhD, Rima El Atrache, MD, Michele Jackson, BA, Ivan S. Fernandez, MD, Kenneth D. Mandl, MD, MPH, Tobias Loddenkemper, MD , William J. Bosl, PhD.
A Digital Biomarker for Detection of Benign Childhood Epilepsy with Centrotemporal Spikes (BECTS). 2019. (2019).
Benchmark on a large cohort for sleep-wake classification with machine learning techniques.
Palotti J, Mall R, Aupetit M, Rueschman M, Singh M, Sathyanarayana A, Taheri S, Fernandez-Luque L.
NPJ Digit Med. 2019. 2:50. PMID: 31304396
Computational Sleep Science: Machine Learning for the Detection, Diagnosis, and Treatment of Sleep Problems from Wearable Device Data
Aarti Sathyanarayana.
Computational Sleep Science: Machine Learning for the Detection, Diagnosis, and Treatment of Sleep Problems from Wearable Device Data. 2017.
The science of sweet dreams: predicting sleep efficiency from wearable device data
Aarti Sathyanarayana, Jaideep Srivastava, Luis Fernandez-Luque.
Computer. 2017. 50(3):30-38.
Correction of: Sleep Quality Prediction From Wearable Data Using Deep Learning.
Sathyanarayana A, Joty S, Fernandez-Luque L, Ofli F, Srivastava J, Elmagarmid A, Arora T, Taheri S.
JMIR Mhealth Uhealth. 2016 Nov 25. 4(4):e130. PMID: 27885989