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For: Kiernan D, Hawkins DA, Manoukian MAC, McKallip M, Oelsner L, Caskey CF, Coolbaugh CL. Accelerometer-based prediction of running injury in National Collegiate Athletic Association track athletes. J Biomech 2018;73:201-9. [PMID: 29699823 DOI: 10.1016/j.jbiomech.2018.04.001] [Cited by in Crossref: 27] [Cited by in F6Publishing: 22] [Article Influence: 6.8] [Reference Citation Analysis]
Number Citing Articles
1 Preatoni E, Bergamini E, Fantozzi S, Giraud LI, Orejel Bustos AS, Vannozzi G, Camomilla V. The Use of Wearable Sensors for Preventing, Assessing, and Informing Recovery from Sport-Related Musculoskeletal Injuries: A Systematic Scoping Review. Sensors 2022;22:3225. [DOI: 10.3390/s22093225] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
2 Dejong AF, Hart JM, Hryvniak DJ, Rodu JS, Hertel J. Prospective running assessments among division I cross-country athletes. Physical Therapy in Sport 2022. [DOI: 10.1016/j.ptsp.2022.02.003] [Reference Citation Analysis]
3 Johnson CD, Outerleys J, Tenforde AS, Davis IS. A comparison of attachment methods of skin mounted inertial measurement units on tibial accelerations. J Biomech 2020;113:110118. [PMID: 33197691 DOI: 10.1016/j.jbiomech.2020.110118] [Cited by in Crossref: 2] [Article Influence: 1.0] [Reference Citation Analysis]
4 Johnson CD, Outerleys J, Davis IS. Relationships between tibial acceleration and ground reaction force measures in the medial-lateral and anterior-posterior planes. J Biomech 2021;117:110250. [PMID: 33486264 DOI: 10.1016/j.jbiomech.2021.110250] [Reference Citation Analysis]
5 Davis JJ 4th, Straczkiewicz M, Harezlak J, Gruber AH. CARL: a running recognition algorithm for free-living accelerometer data. Physiol Meas 2021;42. [PMID: 34883471 DOI: 10.1088/1361-6579/ac41b8] [Reference Citation Analysis]
6 Gruber AH, McDonnell J, Davis JJ 4th, Vollmar JE, Harezlak J, Paquette MR. Monitoring Gait Complexity as an Indicator for Running-Related Injury Risk in Collegiate Cross-Country Runners: A Proof-of-Concept Study. Front Sports Act Living 2021;3:630975. [PMID: 34095824 DOI: 10.3389/fspor.2021.630975] [Reference Citation Analysis]
7 Zadeh A, Taylor D, Bertsos M, Tillman T, Nosoudi N, Bruce S. Predicting Sports Injuries with Wearable Technology and Data Analysis. Inf Syst Front 2021;23:1023-37. [DOI: 10.1007/s10796-020-10018-3] [Cited by in Crossref: 3] [Article Influence: 1.5] [Reference Citation Analysis]
8 Alcantara RS, Day EM, Hahn ME, Grabowski AM. Sacral acceleration can predict whole-body kinetics and stride kinematics across running speeds. PeerJ 2021;9:e11199. [PMID: 33954039 DOI: 10.7717/peerj.11199] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
9 Hendry D, Leadbetter R, McKee K, Hopper L, Wild C, O'Sullivan P, Straker L, Campbell A. An Exploration of Machine-Learning Estimation of Ground Reaction Force from Wearable Sensor Data. Sensors (Basel) 2020;20:E740. [PMID: 32013212 DOI: 10.3390/s20030740] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
10 Muñoz-jiménez J, Gámez-calvo L, Rojas-valverde D, León K, Gamonales JM. Analysis of Injuries and Wellness in Blind Athletes during an International Football Competition. IJERPH 2022;19:8827. [DOI: 10.3390/ijerph19148827] [Reference Citation Analysis]
11 Benson LC, Owoeye OBA, Räisänen AM, Stilling C, Edwards WB, Emery CA. Magnitude, Frequency, and Accumulation: Workload Among Injured and Uninjured Youth Basketball Players. Front Sports Act Living 2021;3:607205. [PMID: 33889842 DOI: 10.3389/fspor.2021.607205] [Reference Citation Analysis]
12 Davis Iv JJ, Gruber AH. Quantifying exposure to running for meaningful insights into running-related injuries. BMJ Open Sport Exerc Med 2019;5:e000613. [PMID: 31673408 DOI: 10.1136/bmjsem-2019-000613] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 1.7] [Reference Citation Analysis]
13 Ahamed NU, Kobsar D, Benson L, Clermont C, Kohrs R, Osis ST, Ferber R. Using wearable sensors to classify subject-specific running biomechanical gait patterns based on changes in environmental weather conditions. PLoS One 2018;13:e0203839. [PMID: 30226903 DOI: 10.1371/journal.pone.0203839] [Cited by in Crossref: 23] [Cited by in F6Publishing: 11] [Article Influence: 5.8] [Reference Citation Analysis]
14 Ahamed NU, Kobsar D, Benson LC, Clermont CA, Osis ST, Ferber R. Subject-specific and group-based running pattern classification using a single wearable sensor. J Biomech 2019;84:227-33. [PMID: 30670327 DOI: 10.1016/j.jbiomech.2019.01.001] [Cited by in Crossref: 16] [Cited by in F6Publishing: 7] [Article Influence: 5.3] [Reference Citation Analysis]
15 Benson LC, Räisänen AM, Clermont CA, Ferber R. Is This the Real Life, or Is This Just Laboratory? A Scoping Review of IMU-Based Running Gait Analysis. Sensors (Basel) 2022;22:1722. [PMID: 35270869 DOI: 10.3390/s22051722] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
16 Moore IS, Willy RW. Use of Wearables: Tracking and Retraining in Endurance Runners. Curr Sports Med Rep 2019;18:437-44. [PMID: 31834174 DOI: 10.1249/JSR.0000000000000667] [Cited by in Crossref: 9] [Cited by in F6Publishing: 4] [Article Influence: 4.5] [Reference Citation Analysis]
17 Day EM, Alcantara RS, McGeehan MA, Grabowski AM, Hahn ME. Low-pass filter cutoff frequency affects sacral-mounted inertial measurement unit estimations of peak vertical ground reaction force and contact time during treadmill running. J Biomech 2021;119:110323. [PMID: 33609984 DOI: 10.1016/j.jbiomech.2021.110323] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
18 Ancillao A, Tedesco S, Barton J, O'Flynn B. Indirect Measurement of Ground Reaction Forces and Moments by Means of Wearable Inertial Sensors: A Systematic Review. Sensors (Basel) 2018;18:E2564. [PMID: 30081607 DOI: 10.3390/s18082564] [Cited by in Crossref: 75] [Cited by in F6Publishing: 44] [Article Influence: 18.8] [Reference Citation Analysis]
19 Marotta L, Scheltinga BL, van Middelaar R, Bramer WM, van Beijnum BF, Reenalda J, Buurke JH. Accelerometer-Based Identification of Fatigue in the Lower Limbs during Cyclical Physical Exercise: A Systematic Review. Sensors (Basel) 2022;22:3008. [PMID: 35458993 DOI: 10.3390/s22083008] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
20 Russo C, Mocera F, Somà A. MEMS sensors for sport engineer applications. IOP Conf Ser : Mater Sci Eng 2021;1038:012056. [DOI: 10.1088/1757-899x/1038/1/012056] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
21 Adesida Y, Papi E, McGregor AH. Exploring the Role of Wearable Technology in Sport Kinematics and Kinetics: A Systematic Review. Sensors (Basel) 2019;19:E1597. [PMID: 30987014 DOI: 10.3390/s19071597] [Cited by in Crossref: 51] [Cited by in F6Publishing: 33] [Article Influence: 17.0] [Reference Citation Analysis]
22 Vanwanseele B, Op De Beéck T, Schütte K, Davis J. Accelerometer Based Data Can Provide a Better Estimate of Cumulative Load During Running Compared to GPS Based Parameters. Front Sports Act Living 2020;2:575596. [PMID: 33345140 DOI: 10.3389/fspor.2020.575596] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
23 Winter SC, Gordon S, Brice SM, Lindsay D, Barrs S. Overuse injuries in runners of different abilities-a one-year prospective study. Res Sports Med 2021;29:196-212. [PMID: 31146574 DOI: 10.1080/15438627.2019.1616548] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 1.3] [Reference Citation Analysis]
24 Matijevich ES, Branscombe LM, Scott LR, Zelik KE. Ground reaction force metrics are not strongly correlated with tibial bone load when running across speeds and slopes: Implications for science, sport and wearable tech. PLoS One 2019;14:e0210000. [PMID: 30653510 DOI: 10.1371/journal.pone.0210000] [Cited by in Crossref: 56] [Cited by in F6Publishing: 43] [Article Influence: 18.7] [Reference Citation Analysis]
25 Burland JP, Outerleys JB, Lattermann C, Davis IS. Reliability of wearable sensors to assess impact metrics during sport-specific tasks. J Sports Sci 2021;39:406-11. [PMID: 32951565 DOI: 10.1080/02640414.2020.1823131] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 2.5] [Reference Citation Analysis]
26 Benson LC, Ahamed NU, Kobsar D, Ferber R. New considerations for collecting biomechanical data using wearable sensors: Number of level runs to define a stable running pattern with a single IMU. Journal of Biomechanics 2019;85:187-92. [DOI: 10.1016/j.jbiomech.2019.01.004] [Cited by in Crossref: 12] [Cited by in F6Publishing: 8] [Article Influence: 4.0] [Reference Citation Analysis]
27 Van Hooren B, Goudsmit J, Restrepo J, Vos S. Real-time feedback by wearables in running: Current approaches, challenges and suggestions for improvements. J Sports Sci 2020;38:214-30. [PMID: 31795815 DOI: 10.1080/02640414.2019.1690960] [Cited by in Crossref: 21] [Cited by in F6Publishing: 14] [Article Influence: 7.0] [Reference Citation Analysis]
28 Alcantara RS, Edwards WB, Millet GY, Grabowski AM. Predicting continuous ground reaction forces from accelerometers during uphill and downhill running: a recurrent neural network solution. PeerJ 2022;10:e12752. [PMID: 35036107 DOI: 10.7717/peerj.12752] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
29 D'Alonzo BA, Bretzin AC, Chandran A, Boltz AJ, Robison HJ, Collins CL, Morris SN. Epidemiology of Injuries in National Collegiate Athletic Association Men's Lacrosse: 2014-2015 Through 2018-2019. J Athl Train 2021;56:758-65. [PMID: 34280286 DOI: 10.4085/1062-6050-612-20] [Reference Citation Analysis]
30 Patoz A, Lussiana T, Breine B, Gindre C, Malatesta D. A Single Sacral-Mounted Inertial Measurement Unit to Estimate Peak Vertical Ground Reaction Force, Contact Time, and Flight Time in Running. Sensors 2022;22:784. [DOI: 10.3390/s22030784] [Reference Citation Analysis]
31 Van den Berghe P, Breine B, Haeck E, De Clercq D. One hundred marathons in 100 days: Unique biomechanical signature and the evolution of force characteristics and bone density. J Sport Health Sci 2021:S2095-2546(21)00044-2. [PMID: 33775883 DOI: 10.1016/j.jshs.2021.03.009] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
32 Clermont CA, Duffett-leger L, Hettinga BA, Ferber R. Runners’ Perspectives on ‘Smart’ Wearable Technology and Its Use for Preventing Injury. International Journal of Human–Computer Interaction 2020;36:31-40. [DOI: 10.1080/10447318.2019.1597575] [Cited by in Crossref: 12] [Cited by in F6Publishing: 1] [Article Influence: 4.0] [Reference Citation Analysis]