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Zipunnikov, V.
70
results:
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Online (70)
Mediatypes
Articles (Online) (31)
OpenAccess-fulltext (39)
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english (53)
russian (14)
Sorted by: Relevance
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?
1
Applying a model of nap detection from actigraphy data to a..:
Ghosal, R.
;
Torres, R.
;
Gill, S.
...
Sleep Medicine. 115 (2024) - p. S206 , 2024
Link:
https://doi.org/10.1016/..
?
2
Modeling distributional characteristic of sleep fragmentati..:
Zipunnikov, V.
;
Guha, P.
;
Cai, A.
...
Sleep Medicine. 115 (2024) - p. S222-S223 , 2024
Link:
https://doi.org/10.1016/..
?
3
Model of nap detection from accelerometry data and its appl..:
Ghosal, R.
;
Torres, R.
;
Buhl, D.L.
..
Sleep Medicine. 100 (2022) - p. S162 , 2022
Link:
https://doi.org/10.1016/..
?
4
0139 Associations of Actigraphic Sleep Parameters with Maxi..:
Spira, A P
;
Simonsick, E M
;
Zipunnikov, V
...
Sleep. 43 (2020) Supplement_1 - p. A54-A55 , 2020
Link:
https://doi.org/10.1093/..
?
5
0353 Objectively Measured Sleep and Components of Metabolic..:
Spira, A P
;
Wanigatunga, S K
;
Zipunnikov, V
...
Sleep. 43 (2020) Supplement_1 - p. A134-A134 , 2020
Link:
https://doi.org/10.1093/..
?
6
0276 Association of Actigraphic Sleep Parameters with Fatig..:
Alfini, A J
;
Schrack, J A
;
Urbanek, J K
...
Sleep. 41 (2018) suppl_1 - p. A106-A107 , 2018
Link:
https://doi.org/10.1093/..
?
7
ASSOCIATION BETWEEN CHARACTERISTICS OF PHYSICAL ACTIVITY AC..:
Wanigatunga, A
;
Di, J
;
Zipunnikov, V
...
Innovation in Aging. 2 (2018) suppl_1 - p. 412-412 , 2018
Link:
https://doi.org/10.1093/..
?
8
LEARNING MORE FROM PATTERNS OF GAIT SPEED DURING THE 400-ME..:
Urbanek, J
;
Wanigatunga, A A
;
Di, J
...
Innovation in Aging. 2 (2018) suppl_1 - p. 412-413 , 2018
Link:
https://doi.org/10.1093/..
?
9
Dysregulation of objectively assessed 24-hour motor activit..:
Shou, H
;
Cui, L
;
Hickie, I
...
Translational Psychiatry. 7 (2017) 8 - p. e1211-e1211 , 2017
Link:
https://doi.org/10.1038/..
?
10
FRAGMENTATION OF DAILY PHYSICAL ACTIVITY: PREDICTION OF MOR..:
Di, J.
;
Leroux, A.
;
Urbanek, J.
...
Innovation in Aging. 1 (2017) suppl_1 - p. 1341-1341 , 2017
Link:
https://doi.org/10.1093/..
?
11
USING ACCELEROMETRY TO TRACK CLINICAL TRAJECTORIES: AORTIC ..:
Harris, T.
;
Green, P.
;
Eloyan, A.
...
Innovation in Aging. 1 (2017) suppl_1 - p. 1341-1342 , 2017
Link:
https://doi.org/10.1093/..
?
12
TOTAL PHYSICAL ACTIVITY AND ITS CIRCADIAN ALLOCATION ARE IN..:
Zipunnikov, V.
;
Dey, D.
;
Leroux, A.
...
Innovation in Aging. 1 (2017) suppl_1 - p. 1239-1239 , 2017
Link:
https://doi.org/10.1093/..
?
13
STRIDE VARIABILITY MEASURES DERIVED FROM WRIST AND HIP-WORN..:
Urbanek, J.
;
Harezlak, J.
;
Glynn, N.W.
...
Innovation in Aging. 1 (2017) suppl_1 - p. 1238-1239 , 2017
Link:
https://doi.org/10.1093/..
?
14
PHYSICAL EXERTION AND ACTIVITY: AGE AND RELATIVE EFFORT IN ..:
Leroux, A.
;
Schrack, J.
;
Fleg, J.
...
Innovation in Aging. 1 (2017) suppl_1 - p. 1239-1239 , 2017
Link:
https://doi.org/10.1093/..
?
15
PREDICTING VO2 MAX USING ACCELEROMETRY AND HEART RATE METRI..:
Schrack, J.
;
Leroux, A.
;
Fleg, J.
...
Innovation in Aging. 1 (2017) suppl_1 - p. 1341-1341 , 2017
Link:
https://doi.org/10.1093/..
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