Health  Vol.2 No.1 , January 2010
Gait spectral index (GSI): a new quantification method for assessing human gait
Abstract: This paper introduces a simple, quantitative as-sessment tool to follow up the recovery of gait. Today, micro-electro-mechanical systems (MEMS) technology provides with small, simple, low-pow- er consuming and easy to don and doff sensors. In our approach we have selected an accelerome- ter and introduced a new quantity that charac-terizes the gait pattern in the frequency domain, we term it Gait Spectral Index (GSI). GSI allows assessing gait quality and closely relates to the speed and cadence of gait (dynamics). We have tested the GSI approach to quantify the quality of the gait of healthy young and elderly, and post- stroke hemiplegic individuals. We investigated the repeatability and coherence of GSI in healthy individuals (young and elderly) and contrasted this to the post-stroke hemiplegic individuals. We found that high correlation of the GSI with conventional gait parameters. This suggests that GSI, which needs only data from one acceler-ometer, could be an objective quantitative mea- sure of the quality of the walking thereby a sim- ple yet reliable measure of the recovery of func-tion during neuronrehabilitation.
Cite this paper: nullHéliot, R. , Azevedo-Coste, C. , Schwirtlich, L. and Espiau, B. (2010) Gait spectral index (GSI): a new quantification method for assessing human gait. Health, 2, 38-44. doi: 10.4236/health.2010.21007.

[1]   Bohannon, R.W., Smith, M.B. (1987) Interrater reliability of modified Ashworth scale of muscle spasticity. Phys Ther; 67, 206-7.

[2]   Bonnet, S. and Heliot, R. (2007) A magnetometer-based approach for studying human movements to appear. IEEE Trans. Biomedical Engineering.

[3]   Brandes, M., Zijlstra, W., Heikens, S.R., Lummel, R. Van and Rosenbaum, D. (2005) Accelerometry based assess-ment of gait parameters in children. Gait & Posture, 24, 482-486.

[4]   Bussmann, J.B. and Damen, L. and Stam, H.J. (2000) Analysis and decomposition of signals obtained by thigh-fixed uni-axial accelerometry during normal gait. Med Biol Eng Comput, 38, 632-638.

[5]   Hester, T., Hughes, R., Sherrill, D., Knorr, B., Akay, M., Stein J., and Bonato, P. (2006) Using wearable sensors to measure motor abilities following stroke. International Workshop on Wearable and Implantable Body Sensor Networks, Massachusetts.

[6]   Holden, M.K., Gill, K.M., Magliozzi, M.R. and et al. (1984) Clinical gait assessment in the neurologically im-paired, reliability and meaningfulness. Physical Therapy, 64, 35-40.

[7]   Jasiewicz, J.M., Allum, J. H.J., Middleton, J. W., Bar-riskill, A., Condie, P., Purcell, B. and Che Tin Li, R.C.T. (2006) Gait event detection using linear accelerometers or angular velocity transducers in able-bodied and spi-nal-cord injured individuals. Gait & Posture, 24, 502-509.

[8]   Lee, J.A. and Cho, S.H. and Lee, J.W. and Lee, K.H. and. Yang, H.K. (2007) Wearable Accelerometer System for Measuring the Temporal Parameters of Gait. Engineering in Medicine and Biology Society EMBS, 483-486.

[9]   Luinge, H. and Veltink, P. (2004) Inclination measure-ment of human movement using a 3d accelerometer with autocalibration. IEEE Trans. Neural Sys. and Rehabil. Eng., 12, 112-121.

[10]   Montoye, H.J., Washburn, R., Servais, S., Ertl, A., Web-ster, J.G. and Nagle, F.J. (1983) Estimation of energy ex-penditure by a portable accelerometer. Medi. Sci. Sport Exercise, 15, 403-407.

[11]   Pappas, I.P.I., Keller, T. and Mangold, S. A reliable, gy-roscope based gait phase detection sensor embedded in a shoe insole. (2002) In Proceedings of IEEE Sensors 002, First IEEE International Conference on Sensors, 2, 1085-1088.

[12]   Robinson, R.O., Herzog, W., Bigg, B.M. (1987) Use of platform variables to quantify the effects of chiropractors manipulation on gait symmetry. J Manipulative Physiol Ther. 10, 172-176.

[13]   Roth, E.J. Merbitz, C., Mroczek, K., Dugan, and Suh, W.W. (1997) Hemiplegic gait. relationships between gait speed and other temporal parameters. Am J Phys Med Rehabil., 76(2) , 128-133.

[14]   Saremi, K., Marehbian, J., Yan, X., Regnaux, J.P., Elashoff, R., Bussel, B. and Dobkin, B.H. (2006) Reli-ability and validity of bilateral thigh and foot acceler-ometric measures in healthy and hemiparetic subjects. The American Society of Neurorehabilitation, 20(2).

[15]   Sekine, M., Tamura, Akay, M.T., Fujimoto, T., Togawa, and Fukui, Y. (2002) Discrimination of gait patterns using wavelet-based fractal analysis. IEEE transactions on Neural Systems and Rehabilitation Engineering, 10-3, 188-196. v Waarsing, J.H., Mayagoitia, R.E. and Veltink, P.H (1996) Quantifying the stability of gait using accelerometers. In 18th Annual International Conference of the IEEE Engi-neering in Medicine and Biology Society, Amsterdam. utilisation d'accéléros pour quantifier la marche.

[16]   Wagenaar, R.C. and Beek, W.J. (1992) Hemiplegic gait, a kinematic analysis using gait speed as a basis. J Bio-mech.25, 1007-1115.

[17]   Ziljstra, W. and Hof, A.L. (2003) Assessment of spa-tio-temporal gait parameters from trunk accelerations during human gait. Gait & Posture, 4, 212-221.