A smart device inertial-sensing method for gait analysis

Journal of Biomechanics

Volumn 47, Issue 15, 2014, Pages 3780-3785

  Steins, Dax ^a   Sheret, Ian ^b   Dawes, Helen ^a,c,d   Esser, Patrick ^a   Collett, Johnny ^a  

^a OXFORD BROOKES UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c UNIVERSITY OF OXFORD   (United Kingdom)

^d CARDIFF UNIVERSITY   (United Kingdom)

Author keywords

Accelerometer; Gait analysis; Inertial measurement unit; Kalman filter; MHealth; Smartphones

Indexed keywords

ACCELEROMETERS; COST EFFECTIVENESS; GAIT ANALYSIS; MHEALTH; MOTION SENSORS; PATIENT REHABILITATION; PATIENT TREATMENT; SMARTPHONES;

ACCELERATION DATA; DOUBLE-INTEGRATION; INERTIAL MEASUREMENT UNIT; INTER-RATER RELIABILITIES; INTRACLASS CORRELATION COEFFICIENTS; LONG-TERM IMPACTS; MOTION CAPTURE SYSTEM; QUATERNION ROTATION MATRIXES;

KALMAN FILTERS;

ACCELERATION; ACCURACY; ADULT; ARTICLE; BIOLOGICAL MONITORING; CENTER OF MASS; CORRELATION COEFFICIENT; COST EFFECTIVENESS ANALYSIS; GAIT; HUMAN; HUMAN EXPERIMENT; INERTIAL SENSOR; INTERRATER RELIABILITY; KINEMATICS; MEASUREMENT ERROR; MOTION ANALYSIS SYSTEM; NORMAL HUMAN; PHYSICAL PARAMETERS; SENSOR; SYSTEMATIC ERROR; VALIDATION PROCESS; AMBULATORY MONITORING; BIOMECHANICS; DEVICES; PHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; ROTATION; YOUNG ADULT;

ACCELERATION; ADULT; BIOMECHANICAL PHENOMENA; GAIT; HUMANS; MONITORING, AMBULATORY; REPRODUCIBILITY OF RESULTS; ROTATION; YOUNG ADULT;

EID: 84910118930     PISSN: 00219290     EISSN: 18732380     Source Type: Journal    
DOI: 10.1016/j.jbiomech.2014.06.014     Document Type: Article

References (27)

1. Atkinson G., Nevill A.M. Statistical methods for assessing measurement error (reliability) in variables relevant to sports medicine. Sports Med. 1998, 26:217-238.
2. Auvinet B., Berrut G., Touzard C., Moutel L., Collet N., Chaleil D., Barrey E. Reference data for normal subjects obtained with an accelerometric device. Gait Posture 2002, 16:124-134.
3. Baker R. Gait analysis methods in rehabilitation. J. Neuroeng. Rehabil. 2006, 3:4.
4. Bland J.M., Altman D.G. Measuring agreement in method comparison studies. Stat. Methods Med. Res. 1999, 8:135-160.
5. Chan, H.K.Y., Huiru, Z., Haiying, W., Gawley, R., Mingjing, Y., Sterritt, R., 2011. Feasibility study on iPhone accelerometer for gait detection. In: Proceedings of the 5th International Conference on pervasive computing technologies for healthcare (PervasiveHealth), pp. 184-187.
6. Esser P., Dawes H., Collett J., Howells K. IMU: inertial sensing of vertical CoM movement. J. Biomech. 2009, 42:1578-1581.
7. Giansanti D., Macellari V., Maccioni G., Cappozzo A. Is it feasible to reconstruct body segment 3-D position and orientation using accelerometric data?. IEEE Trans. Biomed. Eng. 2003, 50:476-483.
8. Henriksen M., Lund H., Moe-Nilssen R., Bliddal H., Danneskiod-Samsoe B. Test-retest reliability of trunk accelerometric gait analysis. Gait Posture 2004, 19:288-297.
9. Horvath M., Tihanyi T., Tihanyi J. Kinematic and kinetic analysis of gait patterns in hemiplegic patients. Phys. Educ. Sport 2001, 1.
10. Katic V.A., Knezevic J.M., Graovac D. Application-oriented comparison of the methods for AC/DC converter harmonics analysis. IEEE Trans. Ind. Electron. 2003, 50:1100-1108.
11. Kavanagh J.J., Menz H.B. Accelerometry: a technique for quantifying movement patterns during walking. Gait Posture 2008, 28:1-15.
12. Lemoyne, R., Mastroianni, T., Cozza, M., Coroian, C., Grundfest, W., 2010. Year Implementation of an iPhone as a wireless accelerometer for quantifying gait characteristics. In: Proceedings of the 32nd Annual International Conference of the IEEE EMBS. Buenos Aires, Argentina.
13. LeMoyne R., Mastroianni T., Grundfest W. Wireless accelerometer iPod application for quantifying gait characteristics. Conf. Proc. IEEE Eng. Med. Biol Soc. 2011, 2011:7904-7907.
14. Moe-Nilssen R. A new method for evaluating motor control in gait under real-life environmental conditions. Part 1: the instrument. Clin. Biomech. (Bristol, Avon) 1998, 13:320-327.
15. Nishiguchi S., Yamada M., Nagai K., Mori S., Kajiwara Y., Sonoda T., Yoshimura K., Yoshitomi H., Ito H., Okamoto K., Ito T., Muto S., Ishihara T., Aoyama T. Reliability and validity of gait analysis by android-based smartphone. Telemed. J. e-Health: Off. J. Am. Telemed. Assoc. 2012, 18:292-296.
16. Nymoen, K., Voldsund, A., Skogstad, S.A., Jensenius, A.R., Torresen, J., 2012. Comparing motion data from an ipod touch to an optical infrared marker-based motion capture system. New Interface for Musical Expression.
17. Razali N.M., Wah Y.B., Sciences M. Power comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Liliefors and Anderson-Darling tests. J. Stat. Model. Anal. 2011, 2:21-33.
18. Rui, Z., Bannoura, A., Hoflinger, F., Reindl, L.M., Schindelhauer, C., 2013. Indoor localization using a smart phone, Sensors Applications Symposium (SAS), 2013 IEEE, pp. 38-42.
19. Shrout P.E., Fleiss J.L. Intraclass correlations: uses in assessing rater reliability. Psychol. Bull. 1979, 86:420-428.
20. Steins D., Dawes H., Esser P., Collett J. Wearable accelerometry-based technology capable of assessing functional activities in neurological populations in community settings: a systematic review. J. Neuroeng. Rehabil. 2014, 11:36.
21. Sutherland D.H. The evolution of clinical gait analysis. Part II kinematics. Gait Posture 2002, 16:159-179.
22. Trawny N., Roumeliotis S.I. Indirect Kalman Filter for 3D Attitude Estimation 2005, 24. Dept. of Computer Science & Engineering, University of Minnesota.
23. Weir J.P. Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. J. Strength Cond. Res./Natnl. Strength Cond. Assoc. 2005, 19:231-240.
24. Wong W.Y., Wong M.S., Lo K.H. Clinical applications of sensors for human posture and movement analysis: a review. Prosthet. Orthot. Int. 2007, 31:62-75.
25. Wren T.A., Gorton G.E., Ounpuu S., Tucker C.A. Efficacy of clinical gait analysis: a systematic review. Gait Posture 2011, 34:149-153.
26. Yang M., Zheng H., Wang H., McClean S., Harris N. Assessing the utility of smart mobile phones in gait pattern analysis. Health Technol. 2012, 2:81-88.
27. Zijlstra W., Hof A.L. Assessment of spatio-temporal gait parameters from trunk accelerations during human walking. Gait Posture 2003, 18:1-10.