New Considerations for Wearable Technology Data: Changes in Running Biomechanics During a Marathon

Click name to view affiliation

Christian A. Clermont University of Calgary

Search for other papers by Christian A. Clermont in
Current site
Google Scholar
PubMed
Close
*
,
Lauren C. Benson University of Calgary

Search for other papers by Lauren C. Benson in
Current site
Google Scholar
PubMed
Close
*
,
W. Brent Edwards University of Calgary

Search for other papers by W. Brent Edwards in
Current site
Google Scholar
PubMed
Close
*
,
Blayne A. Hettinga adidas

Search for other papers by Blayne A. Hettinga in
Current site
Google Scholar
PubMed
Close
*
, and
Reed Ferber University of Calgary
Running Injury Clinic

Search for other papers by Reed Ferber in
Current site
Google Scholar
PubMed
Close
*
Restricted access

The purpose of this study was to use wearable technology data to quantify alterations in subject-specific running patterns throughout a marathon race and to determine if runners could be clustered into subgroups based on similar trends in running gait alterations throughout the marathon. Using a wearable sensor, data were collected for cadence, braking, bounce, pelvic rotation, pelvic drop, and ground contact time for 27 runners. A composite index was calculated based on the “typical” data (4–14 km) for each runner and evaluated for 14 individual 2-km sections thereafter to detect “atypical” data (ie, higher indices). A cluster analysis assigned all runners to a subgroup based on similar trends in running alterations. Results indicated that the indices became significantly higher starting at 20 to 22 km. Cluster 1 exhibited lower indices than cluster 2 throughout the marathon, and the only significant difference in characteristics between clusters was that cluster 1 had a lower age–grade performance score than cluster 2. In summary, this study presented a novel method to investigate the effects of fatigue on running biomechanics using wearable technology in a real-world setting. Recreational runners with higher age–grade performance scores had less atypical running patterns throughout the marathon compared with runners with lower age–grade performance scores.

Clermont, Benson, Edwards, and Ferber are with the Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada. Hettinga is with adidas, Portland, OR. Ferber is also with the Faculty of Nursing, University of Calgary, Calgary, AB, Canada; Cumming School of Medicine, University of Calgary, Calgary, AB, Canada; and Running Injury Clinic, Calgary, AB, Canada.

Clermont (Christian.clermont@ucalgary.ca) is corresponding author.
  • Collapse
  • Expand
  • 1.

    Scheerder J, Breedveld K, Borgers J. Who Is Doing a Run With the Running Boom? Breedveld K, ed. United Kingdom: Palgrave Macmillan; 2015.

    • Search Google Scholar
    • Export Citation
  • 2.

    Fries JF, Singh G, Morfeld D, Hubert HB, Lane NE, Brown BW. Running and the development of disability with age. Ann Intern Med. 1994;121(7):502509. PubMed ID: 8067647 doi:10.7326/0003-4819-122-6-199503150-00016

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 3.

    van Gent BR, Siem DD, van Middelkoop M, van Os TA, Bierma-zeinstra SSMA, Koes BBW. Incidence and determinants of lower extremity running injuries in long distance runners: a systematic review. Br J Sports Med. 2007;41:469480. PubMed ID: 17473005 doi:10.1136/bjsm.2006.033548

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 4.

    Messier SP, Martin DF, Mihalko SL, et al. A 2-year prospective cohort study of overuse running injuries the Runners and Injury Longitudinal Study (TRAILS). Am J Sports Med. 2018;46(9):22112221. PubMed ID: 29791183 doi:10.1177/0363546518773755

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 5.

    Hreljac A. Impact and overuse injuries in runners. Med Sci Sports Exerc. 2004;36(5):845849. doi:10.1249/01.MSS.0000126803.66636.DD

  • 6.

    Mizrahi J, Verbitsky O, Isakov E, Daily D. Effect of fatigue on leg kinematics and impact acceleration in long distance running. Hum Mov Sci. 2000;19:139151. doi:10.1016/S0167-9457(00)00013-0

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 7.

    Donahue SW, Sharkey NA. Strains in the metatarsals during the stance phase of gait: implications for stress fractures. J Bone Joint Surg Am. 1999;81(9):12361244. PubMed ID: 10505520

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 8.

    Dierks TA, Davis IS, Hamill J. The effects of running in an exerted state on lower extremity kinematics and joint timing. J Biomech. 2010;43(15):29932998. PubMed ID: 20663506 doi:10.1016/j.jbiomech.2010.07.001

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 9.

    Paquette MR, Melcher DA. Impact of a long run on injury-related biomechanics with relation to weekly mileage in trained male runners. J Appl Biomech. 2017;33(3):216221. PubMed ID: 27992250

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 10.

    Maas E, De Bie J, Vanfleteren R, Hoogkamer W. Novice runners show greater changes in kinematics with fatigue compared with competitive runners. Sports Biomech. 2017;17(3):350360. doi:10.1080/14763141.2017.1347193

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 11.

    Schütte KH, Maas EA, Exadaktylos V, Berckmans D, Venter RE, Vanwanseele B. Wireless tri-axial trunk accelerometry detects deviations in dynamic center of mass motion due to running-induced fatigue. PLoS ONE. 2015;10(10):112. doi:10.1371/journal.pone.0141957

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 12.

    Stoggl T, Wunsch T. Biomechanics of marathon running. In: Zinner C, Sperlich B, eds. Marathon Running: Physiology, Psychology, Nutrition and Training Aspects. Switzerland: Springer International Publishing; 2016:1345. doi:10.1007/978-3-319-29728-6

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 13.

    Chan-Roper M, Hunter I, Myrer JW, Eggett DL, Seeley MK. Kinematic changes during a marathon for fast and slow runners. J Sports Sci Med. 2012;11(1):7782.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 14.

    Bertram JE, Prebeau-Menezes L, Szarko MJ. Gait characteristics over the course of a race in recreational marathon competitors. Res Q Exerc Sport. 2013;84(1):615. PubMed ID: 23611003 doi:10.1080/02701367.2013.762259

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 15.

    Larson P, Higgins E, Kaminski J, et al. Foot strike patterns of recreational and sub-elite runners in a long-distance road race. J Sports Sci. 2011;29(15):16651673. PubMed ID: 22092253 doi:10.1080/02640414.2011.610347

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 16.

    Tao W, Liu T, Zheng R, Feng H. Gait analysis using wearable sensors. Sensors. 2012;12(2):22552283. PubMed ID: 22438763 doi:10.3390/s120202255

  • 17.

    Kiernan D, Hawkins DA, Manoukian MAC, et al. Accelerometer-based prediction of running injury in National Collegiate Athletic Association track athletes. J Biomech. 2018;73:201209. PubMed ID: 29699823 doi:10.1016/j.jbiomech.2018.04.001

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 18.

    Reenalda AJ, Maartens E, Buurke JH, Gruber AH. Kinematics and shock attenuation during a prolonged run on the athletic track as measured with Inertial Magnetic Measurement Units Type of Submission. Gait Posture. 2019;68:155160. doi:10.1016/J.GAITPOST.2018.11.020

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 19.

    Reenalda J, Maartens E, Homan L, Buurke JH. Continuous three dimensional analysis of running mechanics during a marathon by means of inertial magnetic measurement units to objectify changes in running mechanics. J Biomech. 2016;49(14):33623367. PubMed ID: 27616268 doi:10.1016/j.jbiomech.2016.08.032BM7864

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 20.

    Schütte KH, Seerden S, Venter R, Vanwanseele B. Influence of outdoor running fatigue and medial tibial stress syndrome on accelerometer-based loading and stability. Gait Posture. 2018;59:222228. doi:10.1016/j.gaitpost.2017.10.021

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 21.

    Benson LC, Clermont CA, Bošnjak E, Ferber R. The use of wearable devices for walking and running gait analysis outside of the lab: a systematic review. Gait Posture. 2018;63:124138. PubMed ID: 29730488 doi:10.1016/j.gaitpost.2018.04.047

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 22.

    Napier C, Esculier J-F, Hunt MA. Gait retraining: out of the lab and onto the streets with the benefit of wearables. Br J Sports Med. 2017;51(23):16421643. PubMed ID: 29066433 doi:10.1136/bjsports-2017-098637

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 23.

    Boyer KA, Silvernail JF, Hamill J. The role of running mileage on coordination patterns in running. J Appl Biomech. 2014;30(5):649654. PubMed ID: 25010386 doi:10.1123/jab.2013-0261

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 24.

    Clermont CA, Phinyomark A, Osis ST, Ferber R. Classification of higher- and lower-mileage runners based on running kinematics. J Sport Health Sci. 2019;8(3):249257. doi:10.1016/j.jshs.2017.08.003

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 25.

    Clermont CA, Osis ST, Phinyomark A, Ferber R. Kinematic gait patterns in competitive and recreational runners. J Appl Biomech. 2017;33(4):268276. PubMed ID: 28253053 doi:10.1123/jab.2016-0218

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 26.

    Clermont CA, Benson LC, Osis ST, Kobsar D, Ferber R. Running patterns for male and female competitive and recreational runners based on accelerometer data. J Sports Sci. 2019;37(2):204211. PubMed ID: 29920155 doi:10.1080/02640414.2018.1488518

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 27.

    USA Track & Field. USA Masters Age Grading. 2016. http://www.usatf.org/Resources-for---/Masters/LDR/Age-Grading.aspx

  • 28.

    Diedrich FJ, Warren WH. Why change gaits—dynamics of the walk run transition. J Exp Psychol Percept Perform. 1995;21(1):183202. doi:10.1037//0096-1523.21.1.183

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 29.

    Vernillo G, Giandolini M, Edwards WB, et al. Biomechanics and physiology of uphill and downhill running. Sport Med. 2017;47(4):615629. doi:10.1007/s40279-016-0605-y

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 30.

    Ahamed N, Kobsar D, Benson L, et al. Using wearable sensors to classify subject- specific running biomechanical gait patterns based on changes in environmental weather conditions. PLoS One. 2018;13(9):e0203839. PubMed ID: 30226903 doi:10.1371/journal.pone.0203839

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 31.

    Saisana M, Tarantola S. State-of-the-art report on current methodologies and practices for composite indicator development. Jt Res Centre Italy Eur Comm. 2002;(July):172. doi:10.13140/RG.2.1.1505.1762

    • Search Google Scholar
    • Export Citation
  • 32.

    Arthur D, Vassilvitskii S. The advantages of careful seeding. In: Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, New Orleans, Louisiana. 2007:10271035.

    • Search Google Scholar
    • Export Citation
  • 33.

    Benson LC, Clermont CA, Osis ST, Kobsar D, Ferber R. Classifying running speed conditions using a single wearable sensor: optimal segmentation and feature extraction methods. J Biomech. 2018;71:9499. PubMed ID: 29454542 doi:10.1016/j.jbiomech.2018.01.034

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 34.

    Orendurff MS, Kobayashi T, Tulchin-Francis K, et al. A little bit faster: lower extremity joint kinematics and kinetics as recreational runners achieve faster speeds. J Biomech. 2018;71:167175. PubMed ID: 29472010 doi:10.1016/j.jbiomech.2018.02.010

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 35.

    Willy RW. Innovations and pitfalls in the use of wearable devices in the prevention and rehabilitation of running related injuries. Phys Ther Sport. 2018;29:2633. PubMed ID: 29172095 doi:10.1016/j.ptsp.2017.10.003

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 36.

    Meeusen R, Duclos M, Foster C, et al. Prevention, diagnosis, and treatment of the overtraining syndrome: joint consensus statement of the European College of Sport Science and the American College of Sports Medicine. Med Sci Sports Exerc. 2013;45(1):186205. PubMed ID: 23247672 doi:10.1249/MSS.0b013e318279a10a

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 37.

    Hoenig T, Hamacher D, Braumann K-M, Zech A, Hollander K. Analysis of running stability during 5000 m running. Eur J Sport Sci. 2019;19(4):413421. doi:10.1080/17461391.2018.1519040

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 38.

    Benson LC, O’Connor KM. The effect of exertion on joint kinematics and kinetics during running using a waveform analysis approach. J Appl Biomech. 2015;31(4):250257. PubMed ID: 25838156 doi:10.1123/jab.2014-0138

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 39.

    Girard O, Millet GP, Slawinski J, Racinais S, Micallef JP. Changes in running mechanics and spring-mass behaviour during a 5-km time trial. Int J Sports Med. 2013;34(9):832840. PubMed ID: 23549688 doi:10.1055/s-0032-1329958

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 5280 1108 51
Full Text Views 275 60 11
PDF Downloads 237 48 8