Srinivasan Rajaraman
Overview
Explore the profile of Srinivasan Rajaraman including associated specialties, affiliations and a list of published articles.
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26
Citations
451
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Recent Articles
1.
Khitrov M, Laxminarayan S, Thorsley D, Ramakrishnan S, Rajaraman S, Wesensten N, et al.
Behav Res Methods
. 2013 May;
46(1):140-7.
PMID: 23709163
Using a personal computer (PC) for simple visual reaction time testing is advantageous because of the relatively low hardware cost, user familiarity, and the relative ease of software development for...
2.
Rajdev P, Thorsley D, Rajaraman S, Rupp T, Wesensten N, Balkin T, et al.
J Theor Biol
. 2013 Apr;
331:66-77.
PMID: 23623949
Performance prediction models based on the classical two-process model of sleep regulation are reasonably effective at predicting alertness and neurocognitive performance during total sleep deprivation (TSD). However, during sleep restriction...
3.
van Rooij M, Nash B, Rajaraman S, Holden J
Front Physiol
. 2013 Feb;
4:1.
PMID: 23372552
Event-distributions inform scientists about the variability and dispersion of repeated measurements. This dispersion can be understood from a complex systems perspective, and quantified in terms of fractal geometry. The key...
4.
Ramakrishnan S, Rajaraman S, Laxminarayan S, Wesensten N, Kamimori G, Balkin T, et al.
J Theor Biol
. 2012 Nov;
319:23-33.
PMID: 23182694
Rationale: While caffeine is widely used as a countermeasure to sleep loss, mathematical models are lacking. Objective: Develop a biomathematical model for the performance-restoring effects of caffeine in sleep-deprived subjects....
5.
Holden J, Rajaraman S
Front Psychol
. 2012 Jul;
3:209.
PMID: 22783213
Pronunciation time probability density and hazard functions from large speeded word naming data sets were assessed for empirical patterns consistent with multiplicative and reciprocal feedback dynamics - interaction dominant dynamics....
6.
Rajaraman S, Ramakrishnan S, Thorsley D, Wesensten N, Balkin T, Reifman J
J Sleep Res
. 2012 Mar;
21(6):659-74.
PMID: 22436093
We have developed a new psychomotor vigilance test (PVT) metric for quantifying the effects of sleep loss on performance impairment. The new metric quantifies performance impairment by estimating the probability...
7.
Lu Y, Rajaraman S, Ward W, Vigersky R, Reifman J
Annu Int Conf IEEE Eng Med Biol Soc
. 2012 Jan;
2011:7945-8.
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. When coupled with data-driven mathematical models, CGM...
8.
Deng X, Cao Y, Liu Y, Li F, Sambandam K, Rajaraman S, et al.
Mol Carcinog
. 2011 Dec;
52(4):255-264.
PMID: 22161860
Human colorectal cancer (CRC) cells are resistant to the anti-proliferative effect of transforming growth factor-β (TGF-β), suggesting that disruption of TGF-β signaling plays an important role in colorectal carcinogenesis. Ecotropic...
9.
Reifman J, Rajaraman S, Gribok A, Ward W
J Diabetes Sci Technol
. 2009 Nov;
1(4):478-86.
PMID: 19885110
Background: Recent developments and expected near-future improvements in continuous glucose monitoring (CGM) devices provide opportunities to couple them with mathematical forecasting models to produce predictive monitoring systems for early, proactive...
10.
Rajaraman S, Gribok A, Wesensten N, Balkin T, Reifman J
Sleep
. 2009 Oct;
32(10):1377-92.
PMID: 19848366
We present a method based on the two-process model of sleep regulation for developing individualized biomathematical models that predict performance impairment for individuals subjected to total sleep loss. This new...