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Items: 1 to 50 of 284

1.

Estimation of respiratory rate from motion contaminated photoplethysmography signals incorporating accelerometry.

Jarchi D, Charlton P, Pimentel M, Casson A, Tarassenko L, Clifton DA.

Healthc Technol Lett. 2019 Feb 21;6(1):19-26. doi: 10.1049/htl.2018.5019. eCollection 2019 Feb.

2.

Measuring true accuracy of self-reported injuries.

Clifton DR, Tra J, de la Motte SJ.

Musculoskelet Sci Pract. 2019 Feb 27. pii: S2468-7812(19)30039-6. doi: 10.1016/j.msksp.2019.02.006. [Epub ahead of print] No abstract available.

PMID:
30852098
3.

The First Decade of Web-Based Sports Injury Surveillance: Descriptive Epidemiology of Injuries in US High School Girls' Basketball (2005-2006 Through 2013-2014) and National Collegiate Athletic Association Women's Basketball (2004-2005 Through 2013-2014).

Clifton DR, Hertel J, Onate JA, Currie DW, Pierpoint LA, Wasserman EB, Knowles SB, Dompier TP, Comstock RD, Marshall SW, Kerr ZY.

J Athl Train. 2018 Nov;53(11):1037-1048. doi: 10.4085/1062-6050-150-17.

PMID:
30715913
4.

The First Decade of Web-Based Sports Injury Surveillance: Descriptive Epidemiology of Injuries in US High School Boys' Basketball (2005-2006 Through 2013-2014) and National Collegiate Athletic Association Men's Basketball (2004-2005 Through 2013-2014).

Clifton DR, Onate JA, Hertel J, Pierpoint LA, Currie DW, Wasserman EB, Knowles SB, Dompier TP, Marshall SW, Comstock RD, Kerr ZY.

J Athl Train. 2018 Nov;53(11):1025-1036. doi: 10.4085/1062-6050-148-17.

PMID:
30715912
5.

DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis.

Walker TM, Walker AS, Wilson DJ, Peto TEA, Crook DW, Shamout F; CRyPTIC consortium, Zhu T, Clifton DA.

Bioinformatics. 2019 Jan 28. doi: 10.1093/bioinformatics/btz067. [Epub ahead of print]

PMID:
30689732
6.

Gaussian Processes for Personalized Interpretable Volatility Metrics in the Step-down Ward.

Colopy GW, Roberts S, Clifton DA.

IEEE J Biomed Health Inform. 2019 Jan 22. doi: 10.1109/JBHI.2019.2890823. [Epub ahead of print]

PMID:
30676986
7.

The correlation between baseline score and post-intervention score, and its implications for statistical analysis.

Clifton L, Clifton DA.

Trials. 2019 Jan 11;20(1):43. doi: 10.1186/s13063-018-3108-3.

8.

Comparing different ways of calculating sample size for two independent means: A worked example.

Clifton L, Birks J, Clifton DA.

Contemp Clin Trials Commun. 2018 Nov 29;13:100309. doi: 10.1016/j.conctc.2018.100309. eCollection 2019 Mar.

9.

Relationship of Movement Screens with Past Shoulder or Elbow Surgeries in Collegiate Baseball Players.

Busch AM, Clifton DR, Onate JA.

Int J Sports Phys Ther. 2018 Dec;13(6):1008-1014.

10.

Application of machine learning techniques to tuberculosis drug resistance analysis.

Kouchaki S, Yang Y, Walker TM, Walker AS, Wilson DJ, Peto TEA, Crook DW, Clifton DA; CRyPTIC consortium.

Bioinformatics. 2018 Nov 21. doi: 10.1093/bioinformatics/bty949. [Epub ahead of print]

PMID:
30462147
11.

Validation of Instantaneous Respiratory Rate Using Reflectance PPG from Different Body Positions.

Jarchi D, Salvi D, Tarassenko L, Clifton DA.

Sensors (Basel). 2018 Oct 31;18(11). pii: E3705. doi: 10.3390/s18113705.

12.

Epidemiology of Injuries Requiring Emergency Transport Among Collegiate and High School Student-Athletes.

Hirschhorn RM, Kerr ZY, Wasserman EB, Kay MC, Clifton DR, Dompier TP, Yeargin SW.

J Athl Train. 2018 Sep;53(9):906-914. doi: 10.4085/1062-6050-340-17. Epub 2018 Oct 4.

PMID:
30284458
13.

Prediction of Susceptibility to First-Line Tuberculosis Drugs by DNA Sequencing.

CRyPTIC Consortium and the 100,000 Genomes Project, Allix-Béguec C, Arandjelovic I, Bi L, Beckert P, Bonnet M, Bradley P, Cabibbe AM, Cancino-Muñoz I, Caulfield MJ, Chaiprasert A, Cirillo DM, Clifton DA, Comas I, Crook DW, De Filippo MR, de Neeling H, Diel R, Drobniewski FA, Faksri K, Farhat MR, Fleming J, Fowler P, Fowler TA, Gao Q, Gardy J, Gascoyne-Binzi D, Gibertoni-Cruz AL, Gil-Brusola A, Golubchik T, Gonzalo X, Grandjean L, He G, Guthrie JL, Hoosdally S, Hunt M, Iqbal Z, Ismail N, Johnston J, Khanzada FM, Khor CC, Kohl TA, Kong C, Lipworth S, Liu Q, Maphalala G, Martinez E, Mathys V, Merker M, Miotto P, Mistry N, Moore DAJ, Murray M, Niemann S, Omar SV, Ong RT, Peto TEA, Posey JE, Prammananan T, Pym A, Rodrigues C, Rodrigues M, Rodwell T, Rossolini GM, Sánchez Padilla E, Schito M, Shen X, Shendure J, Sintchenko V, Sloutsky A, Smith EG, Snyder M, Soetaert K, Starks AM, Supply P, Suriyapol P, Tahseen S, Tang P, Teo YY, Thuong TNT, Thwaites G, Tortoli E, van Soolingen D, Walker AS, Walker TM, Wilcox M, Wilson DJ, Wyllie D, Yang Y, Zhang H, Zhao Y, Zhu B.

N Engl J Med. 2018 Oct 11;379(15):1403-1415. doi: 10.1056/NEJMoa1800474. Epub 2018 Sep 26.

14.

Concussion Epidemiology in Athletes Who Are Deaf or Hard-of-Hearing Compared With Athletes Who Are Hearing.

Brancaleone MP, Clifton DR, Onate JA, Boucher LC.

Clin J Sport Med. 2018 Sep 26. doi: 10.1097/JSM.0000000000000667. [Epub ahead of print]

PMID:
30260813
15.

Predicting in-hospital mortality and unanticipated admissions to the intensive care unit using routinely collected blood tests and vital signs: Development and validation of a multivariable model.

Redfern OC, Pimentel MAF, Prytherch D, Meredith P, Clifton DA, Tarassenko L, Smith GB, Watkinson PJ.

Resuscitation. 2018 Dec;133:75-81. doi: 10.1016/j.resuscitation.2018.09.021. Epub 2018 Sep 22.

16.

Smoothing Effect in Vital Sign Recordings: Fact or Fiction? A Retrospective Cohort Analysis of Manual and Continuous Vital Sign Measurements to Assess Data Smoothing in Postoperative Care.

Tomlinson HR, Pimentel MAF, Gerry S, Clifton DA, Tarassenko L, Watkinson PJ.

Anesth Analg. 2018 Oct;127(4):960-966. doi: 10.1213/ANE.0000000000003694.

17.

Unsupervised Bayesian Inference to Fuse Biosignal Sensory Estimates for Personalizing Care.

Zhu T, Pimentel MAF, Clifford GD, Clifton DA.

IEEE J Biomed Health Inform. 2019 Jan;23(1):47-58. doi: 10.1109/JBHI.2018.2820054. Epub 2018 Jun 5.

PMID:
29994340
18.

Bayesian Optimisation of Personalised Models for Patient Vital-Sign Monitoring.

Colopy GW, Roberts S, Clifton D.

IEEE J Biomed Health Inform. 2017 Dec 19. doi: 10.1109/JBHI.2017.2751509. [Epub ahead of print]

PMID:
29990047
19.

Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review.

Charlton PH, Birrenkott DA, Bonnici T, Pimentel MAF, Johnson AEW, Alastruey J, Tarassenko L, Watkinson PJ, Beale R, Clifton DA.

IEEE Rev Biomed Eng. 2018;11:2-20. doi: 10.1109/RBME.2017.2763681. Epub 2017 Oct 24. Review.

PMID:
29990026
20.

A Robust Fusion Model for Estimating Respiratory Rate From Photoplethysmography and Electrocardiography.

Birrenkott DA, Pimentel MAF, Watkinson PJ, Clifton DA.

IEEE Trans Biomed Eng. 2018 Sep;65(9):2033-2041. doi: 10.1109/TBME.2017.2778265. Epub 2017 Dec 19.

PMID:
29989939
21.

Applied Machine Learning for the Prediction of Growth of Abdominal Aortic Aneurysm in Humans.

Lee R, Jarchi D, Perera R, Jones A, Cassimjee I, Handa A, Clifton DA; Oxford Abdominal Aortic Aneurysm Study and; Oxford Regional Vascular Service.

EJVES Short Rep. 2018 May 1;39:24-28. doi: 10.1016/j.ejvssr.2018.03.004. eCollection 2018.

22.

Manual centile-based early warning scores derived from statistical distributions of observational vital-sign data.

Watkinson PJ, Pimentel MAF, Clifton DA, Tarassenko L.

Resuscitation. 2018 Aug;129:55-60. doi: 10.1016/j.resuscitation.2018.06.003. Epub 2018 Jun 4.

23.

Bayesian fusion of physiological measurements using a signal quality extension.

Zhu T, Johnson AEW, Yang Y, Clifford GD, Clifton DA.

Physiol Meas. 2018 Jun 27;39(6):065008. doi: 10.1088/1361-6579/aac856.

PMID:
29808824
24.

Profiling the propagation of error from PPG to HRV features in a wearable physiological-monitoring device.

Morelli D, Bartoloni L, Colombo M, Plans D, Clifton DA.

Healthc Technol Lett. 2018 Feb 12;5(2):59-64. doi: 10.1049/htl.2017.0039. eCollection 2018 Apr.

25.

A Tablet-Based Educational Tool: Toward More Comprehensive Pediatric Patient Education.

Clifton DC, Benjamin RW, Brown AR, Ostrovsky DA, Narayan AP.

Clin Pediatr (Phila). 2018 Sep;57(10):1176-1182. doi: 10.1177/0009922818766621. Epub 2018 Mar 24.

PMID:
29575940
26.

Bayesian Optimization of Personalized Models for Patient Vital-Sign Monitoring.

Colopy GW, Roberts SJ, Clifton DA.

IEEE J Biomed Health Inform. 2018 Mar;22(2):301-310. doi: 10.1109/JBHI.2017.2751509.

PMID:
29505398
27.

Psychiatric sequelae of corticosteroid use in hematology in Australia: A qualitative study.

Clifton D, Ross M, O'Callaghan C.

Nurs Health Sci. 2018 Mar;20(1):125-131. doi: 10.1111/nhs.12395. Epub 2018 Jan 18.

PMID:
29345096
28.

Normative Functional Performance Values in High School Athletes: The Functional Pre-Participation Evaluation Project.

Onate JA, Starkel C, Clifton DR, Best TM, Borchers J, Chaudhari A, Comstock RD, Cortes N, Grooms DR, Hertel J, Hewett TE, Miller MM, Pan X, Schussler E, Van Lunen BL.

J Athl Train. 2018 Jan;53(1):35-42. doi: 10.4085/1062-6050-458.16. Epub 2018 Jan 9.

29.

Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data.

Yang Y, Niehaus KE, Walker TM, Iqbal Z, Walker AS, Wilson DJ, Peto TEA, Crook DW, Smith EG, Zhu T, Clifton DA.

Bioinformatics. 2018 May 15;34(10):1666-1671. doi: 10.1093/bioinformatics/btx801.

30.

RELATIONSHIP OF PRESEASON MOVEMENT SCREENS WITH OVERUSE SYMPTOMS IN COLLEGIATE BASEBALL PLAYERS.

Busch AM, Clifton DR, Onate JA, Ramsey VK, Cromartie F.

Int J Sports Phys Ther. 2017 Nov;12(6):960-966.

31.

Likelihood-based artefact detection in continuously-acquired patient vital signs.

Colopy GW, Tingting Zhu, Clifton L, Roberts SJ, Clifton DA.

Conf Proc IEEE Eng Med Biol Soc. 2017 Jul;2017:2146-2149. doi: 10.1109/EMBC.2017.8037279.

PMID:
29060321
32.

Suboptimal HIV Testing Among Patients Admitted With Pneumonia: A Missed Opportunity.

Clifton DC, Clement ME, Holland TL, Cox GM, Dicks KV, Stout JE.

AIDS Educ Prev. 2017 Aug;29(4):377-388. doi: 10.1521/aeap.2017.29.4.377.

PMID:
28825862
33.

A Comprehensive Method To Quantify Adaptations by Male and Female Mice With Hot Flashes Induced by the Neurokinin B Receptor Agonist Senktide.

Krull AA, Larsen SA, Clifton DK, Neal-Perry G, Steiner RA.

Endocrinology. 2017 Oct 1;158(10):3259-3268. doi: 10.1210/en.2017-00142.

34.

Epidemiology of Knee Sprains in Youth, High School, and Collegiate American Football Players.

Clifton DR, Onate JA, Schussler E, Djoko A, Dompier TP, Kerr ZY.

J Athl Train. 2017 May;52(5):464-473. doi: 10.4085/1062-6050-52.3.09. Epub 2017 Apr 17.

35.

Extraction of respiratory signals from the electrocardiogram and photoplethysmogram: technical and physiological determinants.

Charlton PH, Bonnici T, Tarassenko L, Alastruey J, Clifton DA, Beale R, Watkinson PJ.

Physiol Meas. 2017 May;38(5):669-690. doi: 10.1088/1361-6579/aa670e. Epub 2017 Mar 15.

PMID:
28296645
36.

Bayesian Gaussian processes for identifying the deteriorating patient.

Colopy GW, Pimentel MA, Roberts SJ, Clifton DA.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:5311-5314. doi: 10.1109/EMBC.2016.7591926.

PMID:
28269459
37.

Risk prediction for cardiovascular disease using ECG data in the China kadoorie biobank.

Yanting Shen, Yang Yang, Parish S, Zhengming Chen, Clarke R, Clifton DA.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:2419-2422. doi: 10.1109/EMBC.2016.7591218.

PMID:
28268813
38.

Robust estimation of respiratory rate via ECG- and PPG-derived respiratory quality indices.

Birrenkott DA, Pimentel MA, Watkinson PJ, Clifton DA.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:676-679. doi: 10.1109/EMBC.2016.7590792.

PMID:
28268418
39.

Epidemiological Patterns of Ankle Sprains in Youth, High School, and College Football.

Clifton DR, Koldenhoven RM, Hertel J, Onate JA, Dompier TP, Kerr ZY.

Am J Sports Med. 2017 Feb;45(2):417-425. doi: 10.1177/0363546516667914. Epub 2016 Oct 8.

PMID:
28146396
40.

Toward a Robust Estimation of Respiratory Rate From Pulse Oximeters.

Pimentel MAF, Johnson AEW, Charlton PH, Birrenkott D, Watkinson PJ, Tarassenko L, Clifton DA.

IEEE Trans Biomed Eng. 2017 Aug;64(8):1914-1923. doi: 10.1109/TBME.2016.2613124. Epub 2016 Nov 18.

41.

Predicting Injury: Challenges in Prospective Injury Risk Factor Identification.

Clifton DR, Grooms DR, Hertel J, Onate JA.

J Athl Train. 2016 Aug;51(8):658-661.

42.

Physical Exam Risk Factors for Lower Extremity Injury in High School Athletes: A Systematic Review.

Onate JA, Everhart JS, Clifton DR, Best TM, Borchers JR, Chaudhari AM.

Clin J Sport Med. 2016 Nov;26(6):435-444. Review.

43.

Machine Learning and Decision Support in Critical Care.

Johnson AE, Ghassemi MM, Nemati S, Niehaus KE, Clifton DA, Clifford GD.

Proc IEEE Inst Electr Electron Eng. 2016 Feb;104(2):444-466. Epub 2016 Jan 25.

44.

Identifying lineage effects when controlling for population structure improves power in bacterial association studies.

Earle SG, Wu CH, Charlesworth J, Stoesser N, Gordon NC, Walker TM, Spencer CCA, Iqbal Z, Clifton DA, Hopkins KL, Woodford N, Smith EG, Ismail N, Llewelyn MJ, Peto TE, Crook DW, McVean G, Walker AS, Wilson DJ.

Nat Microbiol. 2016 Apr 4;1:16041. doi: 10.1038/nmicrobiol.2016.41.

45.

An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram.

Charlton PH, Bonnici T, Tarassenko L, Clifton DA, Beale R, Watkinson PJ.

Physiol Meas. 2016 Apr;37(4):610-26. doi: 10.1088/0967-3334/37/4/610. Epub 2016 Mar 30.

46.

Implementing an electronic observation and early warning score chart in the emergency department: a feasibility study.

Pullinger R, Wilson S, Way R, Santos M, Wong D, Clifton D, Birks J, Tarassenko L.

Eur J Emerg Med. 2017 Dec;24(6):e11-e16. doi: 10.1097/MEJ.0000000000000371.

PMID:
26891087
47.

Phenotypic characterisation of Crohn's disease severity.

Niehaus KE, Uhlig HH, Clifton DA.

Conf Proc IEEE Eng Med Biol Soc. 2015 Aug;2015:7023-6. doi: 10.1109/EMBC.2015.7320009.

PMID:
26737909
48.

Bayesian fusion of algorithms for the robust estimation of respiratory rate from the photoplethysmogram.

Zhu T, Pimentel MA, Clifford GD, Clifton DA.

Conf Proc IEEE Eng Med Biol Soc. 2015;2015:6138-41. doi: 10.1109/EMBC.2015.7319793.

PMID:
26737693
49.

OVERHEAD DEEP SQUAT PERFORMANCE PREDICTS FUNCTIONAL MOVEMENT SCREEN™ SCORE.

Clifton DR, Grooms DR, Onate JA.

Int J Sports Phys Ther. 2015 Oct;10(5):622-7.

50.

Early screening of autism: Is age a confounding factor when screening for autism?

Papadopoulos C, Davis T, Clifton D.

J Paediatr Child Health. 2015 Oct;51(10):1047. doi: 10.1111/jpc.13005. No abstract available.

PMID:
26428434

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