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Items: 12

1.

Response to Comment on Bergenstal et al. Glucose Management Indicator (GMI): A New Term for Estimating A1C From Continuous Glucose Monitoring. Diabetes Care 2018;41:2275-2280.

Bergenstal RM, Beck RW, Close KL, Grunberger G, Sacks DB, Kowalski A, Brown AS, Heinemann L, Aleppo G, Ryan DB, Riddlesworth TD, Cefalu WT.

Diabetes Care. 2019 Feb;42(2):e29-e30. doi: 10.2337/dci18-0061. Epub 2018 Dec 17. No abstract available.

PMID:
30559104
2.

Glucose Management Indicator (GMI): A New Term for Estimating A1C From Continuous Glucose Monitoring.

Bergenstal RM, Beck RW, Close KL, Grunberger G, Sacks DB, Kowalski A, Brown AS, Heinemann L, Aleppo G, Ryan DB, Riddlesworth TD, Cefalu WT.

Diabetes Care. 2018 Nov;41(11):2275-2280. doi: 10.2337/dc18-1581. Epub 2018 Sep 17.

3.

Evaluating Brain-Computer Interface Performance in an ALS Population: Checkerboard and Color Paradigms.

Ryan DB, Colwell KA, Throckmorton CS, Collins LM, Caves K, Sellers EW.

Clin EEG Neurosci. 2018 Mar;49(2):114-121. doi: 10.1177/1550059417737443. Epub 2017 Oct 27.

PMID:
29076357
4.

Evaluating brain-computer interface performance using color in the P300 checkerboard speller.

Ryan DB, Townsend G, Gates NA, Colwell K, Sellers EW.

Clin Neurophysiol. 2017 Oct;128(10):2050-2057. doi: 10.1016/j.clinph.2017.07.397. Epub 2017 Aug 8.

5.

Applying dynamic data collection to improve dry electrode system performance for a P300-based brain-computer interface.

Clements JM, Sellers EW, Ryan DB, Caves K, Collins LM, Throckmorton CS.

J Neural Eng. 2016 Dec;13(6):066018. Epub 2016 Nov 7.

6.

The Mealtime Challenge: Nutrition and Glycemic Control in the Hospital.

Ryan DB, Swift CS.

Diabetes Spectr. 2014 Aug;27(3):163-8. doi: 10.2337/diaspect.27.3.163.

7.

Increasing BCI communication rates with dynamic stopping towards more practical use: an ALS study.

Mainsah BO, Collins LM, Colwell KA, Sellers EW, Ryan DB, Caves K, Throckmorton CS.

J Neural Eng. 2015 Feb;12(1):016013. doi: 10.1088/1741-2560/12/1/016013. Epub 2015 Jan 14.

8.

Noninvasive brain-computer interface enables communication after brainstem stroke.

Sellers EW, Ryan DB, Hauser CK.

Sci Transl Med. 2014 Oct 8;6(257):257re7. doi: 10.1126/scitranslmed.3007801.

9.

Channel selection methods for the P300 Speller.

Colwell KA, Ryan DB, Throckmorton CS, Sellers EW, Collins LM.

J Neurosci Methods. 2014 Jul 30;232:6-15. doi: 10.1016/j.jneumeth.2014.04.009. Epub 2014 May 2.

10.

Bayesian approach to dynamically controlling data collection in P300 spellers.

Throckmorton CS, Colwell KA, Ryan DB, Sellers EW, Collins LM.

IEEE Trans Neural Syst Rehabil Eng. 2013 May;21(3):508-17. doi: 10.1109/TNSRE.2013.2253125. Epub 2013 Mar 21.

11.

A general P300 brain-computer interface presentation paradigm based on performance guided constraints.

Townsend G, Shanahan J, Ryan DB, Sellers EW.

Neurosci Lett. 2012 Dec 7;531(2):63-8. doi: 10.1016/j.neulet.2012.08.041. Epub 2012 Aug 29.

12.

Predictive spelling with a P300-based brain-computer interface: Increasing the rate of communication.

Ryan DB, Frye GE, Townsend G, Berry DR, Mesa-G S, Gates NA, Sellers EW.

Int J Hum Comput Interact. 2011 Jan 1;27(1):69-84.

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