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Predictive monitoring for improved management of glucose levels.
Reifman J, Rajaraman S, Gribok A, Ward WK. Reifman J, et al. J Diabetes Sci Technol. 2007 Jul;1(4):478-86. doi: 10.1177/193229680700100405. J Diabetes Sci Technol. 2007. PMID: 19885110 Free PMC article.
An improved methodology for individualized performance prediction of sleep-deprived individuals with the two-process model.
Rajaraman S, Gribok AV, Wesensten NJ, Balkin TJ, Reifman J. Rajaraman S, et al. Sleep. 2009 Oct;32(10):1377-92. doi: 10.1093/sleep/32.10.1377. Sleep. 2009. PMID: 19848366 Free PMC article.
This was achieved by optimally combining the performance information obtained from the individual's performance measurements with a priori performance information using a Bayesian framework, while retaining the strategy of transforming the nonlinear optimization problem of …
This was achieved by optimally combining the performance information obtained from the individual's performance measurements with a p …
Predicting human subcutaneous glucose concentration in real time: a universal data-driven approach.
Lu Y, Rajaraman S, Ward WK, Vigersky RA, Reifman J. Lu Y, et al. Conf Proc IEEE Eng Med Biol Soc. 2011;2011:7945-8. doi: 10.1109/IEMBS.2011.6091959. Conf Proc IEEE Eng Med Biol Soc. 2011. PMID: 22256183
Continuous glucose monitoring (CGM) devices measure and record a patient's subcutaneous glucose concentration as frequently as every minute for up to several days. ...The results further support the feasibility of "universal" glucose prediction models, where an offline-dev …
Continuous glucose monitoring (CGM) devices measure and record a patient's subcutaneous glucose concentration as frequently as every …
Predicting subcutaneous glucose concentration in humans: data-driven glucose modeling.
Gani A, Gribok AV, Rajaraman S, Ward WK, Reifman J. Gani A, et al. IEEE Trans Biomed Eng. 2009 Feb;56(2):246-54. doi: 10.1109/TBME.2008.2005937. Epub 2008 Sep 16. IEEE Trans Biomed Eng. 2009. PMID: 19272928
Individualized performance prediction of sleep-deprived individuals with the two-process model.
Rajaraman S, Gribok AV, Wesensten NJ, Balkin TJ, Reifman J. Rajaraman S, et al. J Appl Physiol (1985). 2008 Feb;104(2):459-68. doi: 10.1152/japplphysiol.00877.2007. Epub 2007 Dec 13. J Appl Physiol (1985). 2008. PMID: 18079260
However, in the proposed method, the parameters of the two-process model are systematically adjusted to account for an individual's uncertain initial state and unknown trait characteristics, resulting in individual-specific performance prediction models. ...
However, in the proposed method, the parameters of the two-process model are systematically adjusted to account for an individual's u …
A unified mathematical model to quantify performance impairment for both chronic sleep restriction and total sleep deprivation.
Rajdev P, Thorsley D, Rajaraman S, Rupp TL, Wesensten NJ, Balkin TJ, Reifman J. Rajdev P, et al. J Theor Biol. 2013 Aug 21;331:66-77. doi: 10.1016/j.jtbi.2013.04.013. Epub 2013 Apr 24. J Theor Biol. 2013. PMID: 23623949
This incorporation of sleep/wake history into the classical two-process model captures an individual's capacity to recover during sleep as a function of sleep debt and naturally bridges the continuum from CSR to TSD by reducing to the classical two-process model in the cas …
This incorporation of sleep/wake history into the classical two-process model captures an individual's capacity to recover during sle …
Moving towards individualized performance models.
Reifman J, Rajaraman S, Gribok AV. Reifman J, et al. Sleep. 2007 Sep;30(9):1081-2; discussion 1083. doi: 10.1093/sleep/30.9.1081. Sleep. 2007. PMID: 17910378 Free PMC article. No abstract available.
A new metric for quantifying performance impairment on the psychomotor vigilance test.
Rajaraman S, Ramakrishnan S, Thorsley D, Wesensten NJ, Balkin TJ, Reifman J. Rajaraman S, et al. J Sleep Res. 2012 Dec;21(6):659-74. doi: 10.1111/j.1365-2869.2012.01008.x. Epub 2012 Mar 21. J Sleep Res. 2012. PMID: 22436093
A biomathematical model of the restoring effects of caffeine on cognitive performance during sleep deprivation.
Ramakrishnan S, Rajaraman S, Laxminarayan S, Wesensten NJ, Kamimori GH, Balkin TJ, Reifman J. Ramakrishnan S, et al. J Theor Biol. 2013 Feb 21;319:23-33. doi: 10.1016/j.jtbi.2012.11.015. Epub 2012 Nov 23. J Theor Biol. 2013. PMID: 23182694 Clinical Trial.
PC-PVT: a platform for psychomotor vigilance task testing, analysis, and prediction.
Khitrov MY, Laxminarayan S, Thorsley D, Ramakrishnan S, Rajaraman S, Wesensten NJ, Reifman J. Khitrov MY, et al. Behav Res Methods. 2014 Mar;46(1):140-7. doi: 10.3758/s13428-013-0339-9. Behav Res Methods. 2014. PMID: 23709163 Free PMC article.
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