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Page 1
Continuous home monitoring of Parkinson's disease using inertial sensors: A systematic review.
PLoS One. 2021 Feb 4;16(2):e0246528. doi: 10.1371/journal.pone.0246528. eCollection 2021.
PLoS One. 2021.
PMID: 33539481
Free PMC article.
Older Adults' Experiences With Using Wearable Devices: Qualitative Systematic Review and Meta-synthesis.
Moore K, O'Shea E, Kenny L, Barton J, Tedesco S, Sica M, Crowe C, Alamäki A, Condell J, Nordström A, Timmons S.
Moore K, et al. Among authors: sica m.
JMIR Mhealth Uhealth. 2021 Jun 3;9(6):e23832. doi: 10.2196/23832.
JMIR Mhealth Uhealth. 2021.
PMID: 34081020
Free PMC article.
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The Views and Needs of People With Parkinson Disease Regarding Wearable Devices for Disease Monitoring: Mixed Methods Exploration.
Kenny L, Moore K, O' Riordan C, Fox S, Barton J, Tedesco S, Sica M, Crowe C, Alamäki A, Condell J, Nordström A, Timmons S.
Kenny L, et al. Among authors: sica m.
JMIR Form Res. 2022 Jan 6;6(1):e27418. doi: 10.2196/27418.
JMIR Form Res. 2022.
PMID: 34989693
Free PMC article.
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Accuracy of consumer-level and research-grade activity trackers in ambulatory settings in older adults.
Tedesco S, Sica M, Ancillao A, Timmons S, Barton J, O'Flynn B.
Tedesco S, et al. Among authors: sica m.
PLoS One. 2019 May 21;14(5):e0216891. doi: 10.1371/journal.pone.0216891. eCollection 2019.
PLoS One. 2019.
PMID: 31112585
Free PMC article.
Clinical Trial.
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Elastomeric free-form blood vessels for interconnecting organs on chip systems.
Zhang W, Zhang YS, Bakht SM, Aleman J, Shin SR, Yue K, Sica M, Ribas J, Duchamp M, Ju J, Sadeghian RB, Kim D, Dokmeci MR, Atala A, Khademhosseini A.
Zhang W, et al. Among authors: sica m.
Lab Chip. 2016 Apr 26;16(9):1579-86. doi: 10.1039/c6lc00001k.
Lab Chip. 2016.
PMID: 26999423
Free PMC article.
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Validity Evaluation of the Fitbit Charge2 and the Garmin vivosmart HR+ in Free-Living Environments in an Older Adult Cohort.
Tedesco S, Sica M, Ancillao A, Timmons S, Barton J, O'Flynn B.
Tedesco S, et al. Among authors: sica m.
JMIR Mhealth Uhealth. 2019 Jun 19;7(6):e13084. doi: 10.2196/13084.
JMIR Mhealth Uhealth. 2019.
PMID: 31219048
Free PMC article.
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Motion Sensors-Based Machine Learning Approach for the Identification of Anterior Cruciate Ligament Gait Patterns in On-the-Field Activities in Rugby Players.
Tedesco S, Crowe C, Ryan A, Sica M, Scheurer S, Clifford AM, Brown KN, O'Flynn B.
Tedesco S, et al. Among authors: sica m.
Sensors (Basel). 2020 May 27;20(11):3029. doi: 10.3390/s20113029.
Sensors (Basel). 2020.
PMID: 32471051
Free PMC article.
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