Abstract
The Functional Ambulation Profile (FAP) Score is a performance index based on the assessment of selected time and distance parameters, during standard gait test. FAP is considered a reliable global parameter for gait evaluation. The first and original FAP score is provided in an automatic way by the GAITRite System, a portable electronic mat embedded with pressure-activated sensors. The present study was designed to achieve a FAP score computation which could be independent from its native environment, and could be implemented by means of classic gait analysis systems, as stereophotogrammetry. This goal was pursued computing the parameters, which FAP definition is based on, by means of processing of stereophotogrammetric data. The reliability of FAP computation was tested by direct comparison with the original GAITRite FAP score, in a single subject, during different walking trials (comfortable gait, very slow gait; very fast gait) and simulating several pathological gaits (gait with small step; “foot-drop” gait; “festinating” gait; “spastic” gait). No relevant differences detected between stereophotogrammetry-based and GAITRite-based estimates indicate that the proposed method is able to provide a reliable assessment of FAP in different kind of natural/pathological walking. The capability of FAP index to identify alterations of walking is also preserved. In conclusion, this study proposes the stereophotogrammetry-based computation of FAP as a valid alternative to the original GAITRite FAP. The convenience of an easy integration with classic stereophotogrammetry-based gait analysis parameters, supports the usefulness of stereophotogrammetry-based FAP in providing a complete picture of subject walking, without needing a further measurement system.
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References
Zijlstra W (2004) Assessment of spatio-temporal parameters during unconstrained walking. Eur J Appl Physiol 92:39–44
Oberg t, Karsznia A, Oberg K (1993) Basic gait parameters: reference data for normal subjects, 10–79 years of age. J Rehabil Res Dev 30(2):210–223
Maranesi E, Di Nardo F, Ghetti G et al (2014) A goniometer-based method for the assessment of gait parameters. In: 10th international conference on mechatronic and embedded systems and applications (MESA), IEEE/ASME. Publisher IEEE. doi:10.1109/MESA.2014.6935539
Maranesi E, Barone V, Fioretti S (2014) Assessment of walking speed by a goniometer-based method. In: 36th annual international conference of engineering in medicine and biology society (EMBC). ISBN 978-1-4244-7929-0/14; pp. 1202–1205; doi:10.1109/EMBC.2014.6943812
Nelson AJ (1974) Functional ambulation profile. Phys Ther 54:1059–1065
Gouelle A (2014) Use of functional ambulation performance score as measurement of gait ability: review. J Rehab Res Dev 51(5):665–674
Gretz HR (1998) Functional ambulation performance testing of adults with Down syndrome. NeuroRehabilitation 11:211–225
Nelson AJ (2002) The validity of the GaitRite and the functional ambulation performance scoring system in the analysis of Parkinson gait. NeuroRehabilitation 17:255–262
Givon U (2009) Gait analysis in multiple sclerosis: characterization of temporal-spatial parameters using GaitRite functional ambulation system. Gait Posture 29:138–142
Gouelle A (2011) Validity of functional ambulation performance score for the evaluation of spatiotemporal parameters of children’s gait. J Mot Behav 43:93–98
Nelson AJ (1999) The functional ambulation performance of elderly fallers and non-fallers walking at their preferred velocity. NeuroRehabilitation 13:141–146
Peurala SH, Titianova EB, Mateev P et al (2005) Gait characteristics after gait-oriented rehabilitation in chronic stroke. Restorative Neurol Neurosci 23:57–65
Freedland RL, Festa C, Sealy M et al (2002) The effects of pulsed auditory stimulation on various gait measurements in persons with Parkinson’s disease. NeuroRehabilitation 17:81–87
GaitRite Electronic Walkway (2013) Technical Reference
GaitRite Operating Manual (2013) Appendix A- FAP score
McDonough AL, Batavia M, Chen FC et al (2001) The validity and reliability of the GaitRite System’s measurements: a preliminary evaluation. Arch Phy Med Rehabil 82(3):419–425
Bilney B, Morris M, Webster K (2003) Concurrent related validity of the GAITRite walkway system for quantification of the spatial and temporal parameters of gait. Gait Posture 17(1):68–74
Webster KE, Wittwer JE, Feller JA (2005) Validity of the GAITRite walkway system for the measurement of averaged and individual step parameters of gait. Gait Posture 22(4):317–321
Davis RB (1991) A gait analysis data collection and reduction technique. Hum Mov Sci 10:575–587
Di Nardo F, Mengarelli A, Maranesi E et al (2015) Assessment of the ankle muscle co-contraction during normal gait: A surface electromyography study, J Electromyogr Kinesiol 25(2):347-54
Di Nardo F, Ghetti G, Fioretti S (2013) Assessment of the activation modalities of gastrocnemius lateralis and tibialis anterior during gait: a statistical analysis. J Electromyogr Kinesiol 23(6):1428–1433
Di Nardo F, Fioretti S (2013) Statistical analysis of surface electromyographic signal for the assessment of rectus femoris modalities of activation during gait. J Electromyogr Kinesiol 23(1):56–61
Di Nardo F, Mengarelli A, Maranesi E, Burattini L, Fioretti S (2014) Gender differences in the myoelectric activity of lower limb muscles in young healthy subjects during walking. Biomed Sig Process Control 19:14–22
Di Nardo F, Maranesi E, Mengarelli A, Ghetti G, Burattini L, Fioretti S (2015) Assessment of the variability of vastii myoelectric activity in young healthy females during walking: a statistical gait analysis. J Electromyogr Kinesiol 25(5):800–807
Di Nardo F, Mengarelli A, Maranesi E, Burattini L, Fioretti S (2015) Assessment of the ankle muscle co-contraction during normal gait: A surface electromyography study. J Electromyogr Kinesiol 25(2):347–354
Di Nardo F, Fioretti S (2014) Emg-based analysis of treadmill and ground walking in distal leg muscles. IFMBE Proc 41:611–614. doi:10.1007/978-3-319-00846-2_151
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Maranesi, E. et al. (2016). A Method for Computing the Functional Ambulation Profile Score by Stereophotogrammetric Data. In: Conti, M., Martínez Madrid, N., Seepold, R., Orcioni, S. (eds) Mobile Networks for Biometric Data Analysis. Lecture Notes in Electrical Engineering, vol 392. Springer, Cham. https://doi.org/10.1007/978-3-319-39700-9_23
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DOI: https://doi.org/10.1007/978-3-319-39700-9_23
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