Sujata Punait

Punait, Sujata, and Gregory F. Lewis. 2019. “Theory Informed Framework for Integrating Environmental and Physiologic Data in Applications Targeting Productivity and Well-Being in Workplace.” In Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 179–182. [Crossref], [Google Scholar]
Khodadadi F, Punait S, Kolacz J, Zand F, Foroutan A, Lewis GF. Use of heart rate variability to predict hospital length of stay for COVID-19 patients: A prospective observational study. Int J Crit Illn Inj Sci. 2021 Jul-Sep;11(3):134-141.
doi: 10.4103/IJCIIS.IJCIIS_196_20. Epub 2021 Sep 25. PMID: 34760659; PMCID: PMC8547682. [PMC link]
Punait, Sujata, and Gregory F. Lewis. 2022. Comparison of heart rate variability, blood pressure variability and metabolic parameters in different phases of hemorrhagic shock in normal and vagotomized conscious male rats. Poster presented at: 33RD International Symposium on the Autonomic Nervous System. Clin Auton Res. 2022 Oct;32(5): 324.
doi: 10.1007/s10286-022-00892-z. PMID: 36205820; PMCID: PMC9542448. [Springer link][PMC link]

Filed US Provisional Application Serial No. 63/493,470 filed Mar 31, 2023 for ANSTracker - A software solution to track different branches of Autonomic Nervous System based on Polyvagal Theory in real time using multiple physiological signals.