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2017 | OriginalPaper | Buchkapitel

A Novel Approach in Combination of 3D Gait Analysis Data for Aiding Clinical Decision-Making in Patients with Parkinson’s Disease

verfasst von : Ilaria Bortone, Gianpaolo Francesco Trotta, Antonio Brunetti, Giacomo Donato Cascarano, Claudio Loconsole, Nadia Agnello, Alberto Argentiero, Giuseppe Nicolardi, Antonio Frisoli, Vitoantonio Bevilacqua

Erschienen in: Intelligent Computing Theories and Application

Verlag: Springer International Publishing

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Abstract

The most common methods used by neurologist to evaluate Parkinson’s Disease (PD) patients are rating scales, that are affected by subjective and non-repeatable observations. Since several research studies have revealed that walking is a sensitive indicator

for the progression of PD. In this paper, we propose an innovative set of features derived from three-dimensional Gait Analysis in order to classify motor signs of motor impairment in PD and differentiate PD patients from healthy subjects or patients suffering from other neurological diseases. We consider kinematic data from Gait Analysis as Gait Variables Score (GVS), Gait Profile Score (GPS) and spatio-temporal data for all enrolled patients. We then carry out experiments evaluating the extracted features using an Artificial Neural Network (ANN) classifier. The obtained results are promising with the best classifier score accuracy equal to 95.05%.

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Vorheriges Kapitel Computer Vision and EMG-Based Handwriting Analysis for Classification in Parkinson’s Disease

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Twelves, D., Perkins, K.S., Counsell, C.: Systematic review of incidence studies of Parkinson’s disease. Mov. Disord. 18(1), 19–31 (2003)CrossRef

Bevilacqua, V., Nuzzolese, N., Barone, D., Pantaleo, M., Suma, M., D’Ambruoso, D., Volpe, A., Loconsole, C., Stroppa, F. Fall detection in indoor environment with kinect sensor. In: INISTA 2014 – Proceedings of the IEEE International Symposium on Innovations in Intelligent Systems and Applications, pp. 319–324 (2014). doi:10.1109/INISTA.2014.6873638

Magdalinou, N., Morris, Huw R.: Clinical features and differential diagnosis of parkinson’s disease. In: Falup-Pecurariu, C., Ferreira, J., Martinez-Martin, P., Chaudhuri, K.R. (eds.) Movement Disorders Curricula, pp. 103–115. Springer, Vienna (2017). doi:10.1007/978-3-7091-1628-9_11 CrossRef

Song, J., Fisher, B.E., Petzinger, G., Wu, A., Gordon, J., Salem, G.J.: The relationships between the unified Parkinson’s disease rating scale and lower extremity functional performance in persons with early-stage Parkinson’s disease. Neurorehabilit. Neural Repair 23(7), 657–661 (2009)CrossRef

Patel, S., Chen, B.R., Mancinelli, C., Paganoni, S., Shih, L., Welsh, M., Dy, J., Bonato, P.: Longitudinal monitoring of patients with Parkinson’s disease via wearable sensor technology in the home setting. In: Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE, pp. 1552–1555. IEEE (2011)

Esser, P., Dawes, H., Collett, J., Feltham, M.G., Howells, K.: Assessment of spatio–temporal gait parameters using inertial measurement units in neurological populations. Gait Posture 34(4), 558–560 (2011)CrossRef

Morris, M.E., Huxham, F., McGinley, J., Dodd, K., Iansek, R.: The biomechanics and motor control of gait in Parkinson disease. Clin. Biomech. 16(6), 459–470 (2001)CrossRef

Blin, O., Ferrandez, A.M., Serratrice, G.: Quantitative analysis of gait in Parkinson patients: increased variability of stride length. J. Neurol. Sci. 98(1), 91–97 (1990)CrossRef

Lewis, G.N., Byblow, W.D., Walt, S.E.: Stride length regulation in Parkinson’s disease: the use of extrinsic, visual cues. Brain 123(10), 2077–2090 (2000)CrossRef

10.

Bloem, B.R., Valkenburg, V.V., Slabbekoorn, M., Willemsen, M.D.: The Multiple Tasks Test: development and normal strategies. Gait Posture 14(3), 191202 (2001)CrossRef

11.

Morris, M., Iansek, R., McGinley, J., Matyas, T., Huxham, F.: Threedimensional gait biomechanics in Parkinson’s disease: Evidence for a centrally mediated amplitude regulation disorder. Mov. Disord. 20(1), 40–50 (2005)CrossRef

12.

Delval, A., Salleron, J., Bourriez, J.L., Bleuse, S., Moreau, C., Krystkowiak, P., Defebvre, L., Devos, P., Duhamel, A.: Kinematic angular parameters in PD: reliability of joint angle curves and comparison with healthy subjects. Gait Posture 28(3), 495501 (2008)CrossRef

13.

Davis, R.B., Ounpuu, S., Tyburski, D., Gage, J.R.: A gait analysis data collection and reduction technique. Hum. Mov. Sci. 10(5), 575–587 (1991)CrossRef

14.

Baker, R., McGinley, J.L., Schwartz, M.H., Beynon, S., Rozumalski, A., Graham, H.K., Tirosh, O.: The gait profile score and movement analysis profile. Gait Posture 30(3), 265–269 (2009)CrossRef

15.

Schutte, L.M., Narayanan, U., Stout, J.L., Selber, P., Gage, J.R., Schwartz, M.H.: An index for quantifying deviations from normal gait. Gait Posture 11(1), 25–31 (2000)CrossRef

16.

Baker, R., McGinley, J.L., Schwartz, M., Thomason, P., Rodda, J., Graham, H.K.: The minimal clinically important difference for the Gait Profile Score. Gait Posture 35(4), 612–615 (2012)CrossRef

17.

Mazurowski, M.A., Habas, P.A., Zurada, J.M., Lo, J.Y., Baker, J.A., Tourassi, G.D.: Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance. Neural Netw. 21(2), 427–436 (2008)CrossRef

18.

Bevilacqua, V., Mastronardi, G., Menolascina, F., Pannarale, P., Pedone, A.: A novel multi-objective genetic algorithm approach to artificial neural network topology optimization: the breast cancer classification problem. In: International Joint Conference on Neural Networks, IJCNN 2006, pp. 1958–1965. IEEE, July 2006

19.

Bevilacqua, V., Pacelli, V., Saladino, S.: A novel multi objective genetic algorithm for the portfolio optimization. In: Huang, D.-S., Gan, Y., Bevilacqua, V., Figueroa, J.C. (eds.) ICIC 2011. LNCS, vol. 6838, pp. 186–193. Springer, Heidelberg (2011). doi:10.1007/978-3-642-24728-6_25 CrossRef

20.

Bevilacqua, V., Tattoli, G., Buongiorno, D., Loconsole, C., Leonardis, D., Barsotti, M., Frisoli A., Bergamasco, M.: A novel BCI-SSVEP based approach for control of walking in virtual environment using a convolutional neural network. In: 2014 International Joint Conference on Neural Networks (IJCNN), pp. 4121–4128. IEEE, July 2014

21.

Bevilacqua, V., Brunetti, A., Triggiani, M., Magaletti, D., Telegrafo, M., Moschetta, M.: An optimized feed-forward artificial neural network topology to support radiologists in breast lesions classification. In: Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, pp. 1385–1392. ACM, July 2016

22.

Bradley, A.P.: The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recogn. 30(7), 1145–1159 (1997)CrossRef

Titel: A Novel Approach in Combination of 3D Gait Analysis Data for Aiding Clinical Decision-Making in Patients with Parkinson’s Disease
verfasst von: Ilaria Bortone
Gianpaolo Francesco Trotta
Antonio Brunetti
Giacomo Donato Cascarano
Claudio Loconsole
Nadia Agnello
Alberto Argentiero
Giuseppe Nicolardi
Antonio Frisoli
Vitoantonio Bevilacqua
Verlag: Springer International Publishing
Buch: Intelligent Computing Theories and Application
Print ISBN: 978-3-319-63311-4

Electronic ISBN: 978-3-319-63312-1

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-63312-1_44

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