2024
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Monitoring Surgical Nociception Using Multimodal Physiologic Markers S Subramanian, B Tseng, M Del Carmen, AK Goodman, DM Dahl, R Barbieri, EN Brown PNAS 2024 Link |
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Data-Driven Peak Alpha Identification Reveals Distinct EEG Spatial Signature Phenotypes in Chronic Pain S Subramanian, E Lannon, S Mackey Proc IEEE Eng in Med & Biol 2024 |
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Density-based Neural Temporal Point Processes for Heartbeat Dynamics S Subramanian, B Ramsundar Proc. International Conference on Learning Representations (ICLR) Workshop on Time Series for Health (TS4H) 2024 Link |
2023
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Unsupervised Stratification of Chronic Pain Patients Using EEG Peak Alpha Spatial Signatures S Subramanian, E Lannon, S Mackey Proc IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology 2023 Link |
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Building AI Models of Patient-Specific Drug Side Effect Predictions B Ramsundar, S Subramanian Proc IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology 2023 Link |
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A Convex Formulation of Point Process Heartbeat Dynamics using a Gamma Generalized Linear Model AS Perley, S Subramanian, TP Coleman Proc. IEEE Body Sensor Networks 2023 |
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Exploring the Gut-Brain Connection in Gastroparesis with Autonomic and Gastric Myoelectric Monitoring S Subramanian, DC Kunkel, L Nguyen, TP Coleman IEEE Trans Biomed Eng 2023 Link |
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Exploring the aperiodic nature of parasympathetic activity during sleep in idiopathic gastroparesis S Subramanian, DC Kunkel, TP Coleman Proc IEEE Eng in Med & Biol 2023 Link |
2022
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An unsupervised automated paradigm for artifact removal from electrodermal activity in an uncontrolled clinical setting S Subramanian, B Tseng, R Barbieri, EN Brown Physiological Measurement 2022 Link |
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How Machine Learning is Powering Neuroimaging to Improve Brain Health NM Singh, JB Harrod, S Subramanian, M Robinson, K Chang, S Cetin-Karayumak, A Vasile Dalca, S Eickhoff, M Fox, L Franke, P Golland, D Haehn, J Eugenio Iglesias, LJ O’Donnell, Y Ou, Y Rathi, SH Siddiqi, H Sun, MB Westover, S Whitfield-Gabrieli, RL Gollub Neuroinformatics 2022 Link |
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Automated classification of sleep and wake from single day triaxial accelerometer data S Subramanian, TP Coleman Proc IEEE Eng in Med & Biol 2022 Link |
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Tonic Electrodermal Activity is a Robust Marker of Psychological and Physiological Changes during Induction of Anesthesia B Tseng, S Subramanian, R Barbieri, EN Brown Proc IEEE Eng in Med & Biol 2022 Link |
2021
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A Model-Based Approach for Pulse Selection from Electrodermal Activity S Subramanian, PL Purdon, R Barbieri, EN Brown IEEE Trans Biomed Eng 2021 Link |
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Quantitative Assessment of the Relationship between Behavioral and Autonomic Dynamics during Propofol-Induced Unconsciousness S Subramanian, PL Purdon, R Barbieri, EN Brown PLoS ONE 2021 Link |
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Elementary Integrate-and-Fire Process Underlies Pulse Amplitudes in Electrodermal Activity S Subramanian, PL Purdon, R Barbieri, EN Brown PLoS Comput Biol 2021 Link |
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Unsupervised Machine Learning Methods for Artifact Removal in Electrodermal Activity S Subramanian, B Tseng, R Barbieri, EN Brown Proc IEEE Eng in Med & Biol 2021 Link |
2020
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Point Process Temporal Structure Characterizes Electrodermal Activity S Subramanian, R Barbieri, EN Brown PNAS 2020 Link |
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Multimodal vs Unimodal Estimation of Sympathetic-Driven Arousal States S Subramanian, EN Brown, R Barbieri Proc Computing in Cardiology 2020 Link |
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Detecting Loss and Regain of Consciousness during Propofol Anesthesia using Multimodal Indices of Autonomic State S Subramanian, R Barbieri, PL Purdon, EN Brown Proc IEEE Eng in Med & Biol 2020 Link |
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Analyzing Transitions in Anesthesia by Multimodal Characterization of Autonomic State S Subramanian, R Barbieri, PL Purdon, EN Brown Proc European Study Group on Cardiovascular Oscillations 2020 Link |
2019
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Multimodal General Anesthesia in Practice EN Brown, LA Santa Cruz, S Subramanian Anesthesiology News Special Edition 2019 |
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Risk-taking bias in human decision-making is encoded via a right-left brain push-pull system P Sacré, MSD Kerr, S Subramanian, Z Fitzgerald, K Kahn, MA Johnson, E Niebur, UT Eden, J Gonzalez-Martinez, JT Gale*, SV Sarma* PNAS 2019 Link |
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A Systematic Method for Preprocessing and Analyzing Electrodermal Activity S Subramanian, R Barbieri, EN Brown Proc IEEE Eng in Med & Biol 2019 Link |
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Multitaper Infinite Hidden Markov Model for EEG AH Song*, L Chlon*, H Soulat, J Tauber, S Subramanian, D Ba, MJ Prerau Proc IEEE Eng in Med & Biol 2019 Link |
2018
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Using Network Analysis to Localize the Epileptogenic Zone from Invasive EEG Recordings in Intractable Focal Epilepsy A Li*, B Chennuri*, S Subramanian, R Yaffe, S Gliske, W Stacey, R Norton, A Jordan, KA Zaghloul, SK Inati, S Agarwal, J Haagensen, J Hopp, C Atallah, E Johnson, N Crone, WS Andersen, Z Fitzgerald, J Bulacio, JT Gale, SV Sarma, JA Gonzalez-Martinez Network Neuroscience 2018 Link |
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Arousal Detection in Obstructive Sleep Apnea using Physiology-Derived Features S Subramanian, S Chamadia, S Chakravarty Proc Computing in Cardiology 2018 Link |
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A Point Process Characterization of Electrodermal Activity S Subramanian, R Barbieri, EN Brown Proc IEEE Eng in Med & Biol 2018 Link |
2017
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The Influences and Neural Correlates of Past and Present During Gambling in Humans P Sacré*, S Subramanian*, MSD Kerr, K Kahn, MA Johnson, J Bulacio, JA Gonzalez-Martinez, SV Sarma, JT Gale Nature Sci Rep 2017 Link |
2016
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The Precuneus May Encode Irrationality in Human Gambling P Sacré, M Kerr, S Subramanian, K Kahn, J Gonzalez-Martinez, M Johnson, SV Sarma, JT Gale Proc IEEE Eng in Med & Biol 2016 Link |
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Winning Versus Losing During Gambling and Its Neural Correlates P Sacré, M Kerr, S Subramanian, K Kahn, J Gonzalez-Martinez, JT Gale, SV Sarma, Proc Conf on Inf Sci and Sys 2016 Link |
2014
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Computing Network-Based Features from Intracranial EEG Time Series Data Application to Seizure Focus Localization S Hao*, S Subramanian*, A Jordan, R Yaffe, S Santaniello, C Jouny, G Bergey, WS Anderson, SV Sarma Proc IEEE Eng in Med & Biol 2014 Link |