Selected Publications on Wearables/Digital Measurements
Di, J. , Demanuele, C., Kettermann, A.,
Karahanoglu., FI., Capperlleri, JC., Potter, A., Bury, D., Cedarbaum,
J., Byrom, B.. Considerations
to address missing data when deriving clinical trial endpoints from
digital health technologies (DHTs) . Contemporary Clinical
Trials . 2021.Kuo, PL., Di, J. , Ferrucci L., and Lin, FR.. Analysis
of hearing loss and physical activity among US adults, 60 - 69 ears .
JAMA Network Open . 2021.
Mahadevan, N., Christakis, Y., Di, J. , Bruno, J.,
Zhang Y., Dorsey, ER., Pigeon, WR., Beck, LA., Thomas, K., Liu, Y.,
Wicker, M., Brooks, C., Kabiri, NS., Bhangu, J., Northcott, C., and
Patel, S.. Development of
digital measures for nighttime scratch and sleep using wrist-worn
wearable devices . Nature npj Digital Medicine . 2021. Behind
the paper blog post: Wearable
sensors can tell you more than just step count: measuring nighttime
scratching and sleep .
Wanigatunga, A., Di, J. , Zipunnikov, V., Urbanek,
J., Kuo, P., Simonsick, EM., Ferrucci, L., and Schrack, J.. Association
of total daily physical activity and fragmented physical activity with
mortality in older adults . JAMA Network Open . 2019.
Di, J. , Spira, A., Bai, J., Urbanek, J., Leroux,
A., Wu, M., Resnik, S., Simonsick, E., Ferrucci, L., Schrack, J., and
Zipunnikov, V.. Joint
and individual representation of domains of physical activity, sleep,
and circadian rhythmicity . Statistics in Biosciences .
2019.Leroux, A., Di, J. , Smirnova, E., Mcguffey, E.,
Cao, Q., Bayatmokhtari, E., Tabacu, L., Zipunnikov, V., Urbanek, J.,
Crainiceanu, C.. Organizing
and analyzing the activity data in NHANES . Statistics in
Biosciences . 2019.
Varma, V., Dey D., Leroux A., Di, J. , Urbanek, J.,
Xiao, L., and Zipunnikov, V.. Re-evaluating
the effect of age on physical activity over the lifespan .
Preventive Medicine . 2017.
A full list of my publications can be found on my Google
Scholar page .
Softwares
cdHOTS . (R package). Construct and decompose higher
order tensorian statistics.[Github ]actigraphy-profiles . (R Shiny App). A visualization
tool for displaying minute-level actigraphy profiles (More features to
be online). [Github ]ActFrag . (R package). Activity fragmentation
metrics extraced from minute level actigraphy data. [Github ] [CRAN ]
[Osler ]ActCR . (R package). Extract circadian rhythms
metrics from actigraphy data. [Github ][CRAN ]