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Items: 1 to 20 of 114

1.

Next Steps in Wearable Technology and Community Ambulation in Multiple Sclerosis.

Frechette ML, Meyer BM, Tulipani LJ, Gurchiek RD, McGinnis RS, Sosnoff JJ.

Curr Neurol Neurosci Rep. 2019 Sep 4;19(10):80. doi: 10.1007/s11910-019-0997-9. Review.

PMID:
31485896
2.

Giving Voice to Vulnerable Children: Machine Learning Analysis of Speech Detects Anxiety and Depression in Early Childhood.

McGinnis EW, Anderau SP, Hruschak J, Gurchiek RD, Lopez-Duran NL, Fitzgerald K, Rosenblum KL, Muzik M, McGinnis R.

IEEE J Biomed Health Inform. 2019 Apr 26. doi: 10.1109/JBHI.2019.2913590. [Epub ahead of print]

PMID:
31034426
3.

Sprint Assessment Using Machine Learning and a Wearable Accelerometer.

Gurchiek RD, Rupasinghe Arachchige Don HS, Pelawa Watagoda LCR, McGinnis RS, van Werkhoven H, Needle AR, McBride JM, Arnholt AT.

J Appl Biomech. 2019 Apr 1;35(2):164-169. doi: 10.1123/jab.2018-0107. Epub 2019 Feb 5.

PMID:
30676153
4.

Rapid detection of internalizing diagnosis in young children enabled by wearable sensors and machine learning.

McGinnis RS, McGinnis EW, Hruschak J, Lopez-Duran NL, Fitzgerald K, Rosenblum KL, Muzik M.

PLoS One. 2019 Jan 16;14(1):e0210267. doi: 10.1371/journal.pone.0210267. eCollection 2019.

5.

A novel adhesive biosensor system for detecting respiration, cardiac, and limb movement signals during sleep: validation with polysomnography.

Jortberg E, Silva I, Bhatkar V, McGinnis RS, Sen-Gupta E, Morey B, Wright JA Jr, Pindado J, Bianchi MT.

Nat Sci Sleep. 2018 Nov 26;10:397-408. doi: 10.2147/NSS.S179588. eCollection 2018.

6.

Rapid Anxiety and Depression Diagnosis in Young Children Enabled by Wearable Sensors and Machine Learning.

McGinnis RS, McGinnis EW, Hruschak J, Lopez-Duran NL, Fitzgerald K, Rosenblum KL, Muzik M.

Conf Proc IEEE Eng Med Biol Soc. 2018 Jul;2018:3983-3986. doi: 10.1109/EMBC.2018.8513327.

PMID:
30441231
7.

Novel technology for mobility and balance tracking in patients with multiple sclerosis: a systematic review.

Sun R, McGinnis R, Sosnoff JJ.

Expert Rev Neurother. 2018 Nov;18(11):887-898. doi: 10.1080/14737175.2018.1533816. Epub 2018 Oct 12.

PMID:
30301382
8.

Simultaneous Observation of the Orientation and Activity of Surface-Immobilized Enzymes.

Jasensky J, Ferguson K, Baria M, Zou X, McGinnis R, Kaneshiro A, Badieyan S, Wei S, Marsh ENG, Chen Z.

Langmuir. 2018 Aug 7;34(31):9133-9140. doi: 10.1021/acs.langmuir.8b01657. Epub 2018 Jul 24.

PMID:
29993252
9.

Vitamin D and risk of pregnancy related hypertensive disorders: mendelian randomisation study.

Magnus MC, Miliku K, Bauer A, Engel SM, Felix JF, Jaddoe VWV, Lawlor DA, London SJ, Magnus P, McGinnis R, Nystad W, Page CM, Rivadeneira F, Stene LC, Tapia G, Williams N, Bonilla C, Fraser A.

BMJ. 2018 Jun 20;361:k2167. doi: 10.1136/bmj.k2167.

10.

Wearable sensors detect childhood internalizing disorders during mood induction task.

McGinnis EW, McGinnis RS, Hruschak J, Bilek E, Ip K, Morlen D, Lawler J, Lopez-Duran NL, Fitzgerald K, Rosenblum KL, Muzik M.

PLoS One. 2018 Apr 25;13(4):e0195598. doi: 10.1371/journal.pone.0195598. eCollection 2018.

11.

Large-scale polymeric carbon nanotube membranes with sub-1.27-nm pores.

McGinnis RL, Reimund K, Ren J, Xia L, Chowdhury MR, Sun X, Abril M, Moon JD, Merrick MM, Park J, Stevens KA, McCutcheon JR, Freeman BD.

Sci Adv. 2018 Mar 9;4(3):e1700938. doi: 10.1126/sciadv.1700938. eCollection 2018 Mar.

12.

A Family Based Study of Carbon Monoxide and Nitric Oxide Signalling Genes and Preeclampsia.

Bauer AE, Avery CL, Shi M, Weinberg CR, Olshan AF, Harmon QE, Luo J, Yang J, Manuck TA, Wu MC, Williams N, McGinnis R, Morgan L, Klungsøyr K, Trogstad L, Magnus P, Engel SM.

Paediatr Perinat Epidemiol. 2018 Jan;32(1):1-12. doi: 10.1111/ppe.12400. Epub 2017 Sep 7.

13.

Method for Estimating Three-Dimensional Knee Rotations Using Two Inertial Measurement Units: Validation with a Coordinate Measurement Machine.

Vitali RV, Cain SM, McGinnis RS, Zaferiou AM, Ojeda LV, Davidson SP, Perkins NC.

Sensors (Basel). 2017 Aug 27;17(9). pii: E1970. doi: 10.3390/s17091970.

14.

The use of a single inertial sensor to estimate 3-dimensional ground reaction force during accelerative running tasks.

Gurchiek RD, McGinnis RS, Needle AR, McBride JM, van Werkhoven H.

J Biomech. 2017 Aug 16;61:263-268. doi: 10.1016/j.jbiomech.2017.07.035. Epub 2017 Aug 10.

PMID:
28830590
15.

Variants in the fetal genome near FLT1 are associated with risk of preeclampsia.

McGinnis R, Steinthorsdottir V, Williams NO, Thorleifsson G, Shooter S, Hjartardottir S, Bumpstead S, Stefansdottir L, Hildyard L, Sigurdsson JK, Kemp JP, Silva GB, Thomsen LCV, Jääskeläinen T, Kajantie E, Chappell S, Kalsheker N, Moffett A, Hiby S, Lee WK, Padmanabhan S, Simpson NAB, Dolby VA, Staines-Urias E, Engel SM, Haugan A, Trogstad L, Svyatova G, Zakhidova N, Najmutdinova D; FINNPEC Consortium; GOPEC Consortium, Dominiczak AF, Gjessing HK, Casas JP, Dudbridge F, Walker JJ, Pipkin FB, Thorsteinsdottir U, Geirsson RT, Lawlor DA, Iversen AC, Magnus P, Laivuori H, Stefansson K, Morgan L.

Nat Genet. 2017 Aug;49(8):1255-1260. doi: 10.1038/ng.3895. Epub 2017 Jun 19.

16.

A machine learning approach for gait speed estimation using skin-mounted wearable sensors: From healthy controls to individuals with multiple sclerosis.

McGinnis RS, Mahadevan N, Moon Y, Seagers K, Sheth N, Wright JA Jr, DiCristofaro S, Silva I, Jortberg E, Ceruolo M, Pindado JA, Sosnoff J, Ghaffari R, Patel S.

PLoS One. 2017 Jun 1;12(6):e0178366. doi: 10.1371/journal.pone.0178366. eCollection 2017.

17.

A wearable computing platform for developing cloud-based machine learning models for health monitoring applications.

Patel S, McGinnis RS, Silva I, DiCristofaro S, Mahadevan N, Jortberg E, Franco J, Martin A, Lust J, Raj M, McGrane B, DePetrillo P, Aranyosi AJ, Ceruolo M, Pindado J, Ghaffari R.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:5997-6001. doi: 10.1109/EMBC.2016.7592095.

PMID:
28269619
18.

Skin mounted accelerometer system for measuring knee range of motion.

McGinnis RS, Patel S, Silva I, Mahadevan N, DiCristofaro S, Jortberg E, Ceruolo M, Aranyosi AJ.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:5298-5302. doi: 10.1109/EMBC.2016.7591923.

PMID:
28269456
19.

Monitoring gait in multiple sclerosis with novel wearable motion sensors.

Moon Y, McGinnis RS, Seagers K, Motl RW, Sheth N, Wright JA Jr, Ghaffari R, Sosnoff JJ.

PLoS One. 2017 Feb 8;12(2):e0171346. doi: 10.1371/journal.pone.0171346. eCollection 2017.

20.

Movements Indicate Threat Response Phases in Children at Risk for Anxiety.

McGinnis EW, McGinnis RS, Muzik M, Hruschak J, Lopez-Duran NL, Perkins NC, Fitzgerald K, Rosenblum KL.

IEEE J Biomed Health Inform. 2017 Sep;21(5):1460-1465. doi: 10.1109/JBHI.2016.2603159. Epub 2016 Aug 25.

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