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Predicting Freezing of Gait in Parkinson’s Disease with a Smartphone: Comparison Between Two Algorithms

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Ambient Assisted Living

Part of the book series: Biosystems & Biorobotics ((BIOSYSROB,volume 11))

Abstract

The freezing of gait (FOG) is a common and highly distressing motor symptom of patients with Parkinson’s Disease (PD). Effective management of FOG is difficult given its episodic nature, heterogeneous manifestation and limited responsiveness to drug treatment. Clinicians found alternative approaches, such as rhythmic cueing. We have built a smartphone-based architecture in agreement with acceptability and usability requirements which is able to detect FOG and provide acoustic feedback to the patient. The aim of this work is to compare the reliability of a real-time FOG detection using two different algorithms implemented on the smartphone.

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References

  1. Ajzen, I.: The theory of planned behaviour. Organ. Behav. Hum. Decis. Process. 50(2), 179–211 (1991)

    Article  Google Scholar 

  2. Auvinet, B., Berrut, G., Touzard, C., Muotel, L., Collet, N., Chaleil, D., Barrey, E.: Reference data for normal subjects obtained with an accelerometric device. Gait Posture 16(2), 124–134 (2002)

    Article  Google Scholar 

  3. Bächlin, M., Plotnik, M., Roggen, D., Maidan, I., Hausdorff, J.M., Giladi, N., Tröster, G.: Wearable assistant for Parkinson’s disease patients with the freezing of gait symptom. IEEE Trans. Inf; Technol. Biomed. 14(2), 436–446 (2010)

    Article  Google Scholar 

  4. Baker, K., Rochester, L., Nieuwboer, A.: The immediate effect of attentional, auditory, and a combined cue strategy on gait during single and dual tasks in Parkinson’s disease. Arch. Phys. Med. Rehabil. 88(12), 1593–1600 (2007)

    Article  Google Scholar 

  5. Benetazzo, F., Freddi, A., Monteriù, A., Harmo, P., Kyrki, V., Longhi, S.: Autonomous assistive robot for respiratory rate detection and tracking. In: Ambient Assisted Living: Italian Forum 2013, Springer, Berlin, Heidelberg (2014)

    Google Scholar 

  6. Cavanini, L., Benetazzo, F., Freddi, A., Longhi, S., Monteriu, A.: SLAM-based autonomous wheelchair navigation system for AAL scenarios. In: IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA), pp. 1–5 (2014)

    Google Scholar 

  7. Cimini, G., Ferracuti, F., Freddi, A., Iarlori, S., Monteriù, A.: An inertial and QR code landmarks-based navigation system for impaired wheelchair users. In: Ambient Assisted Living: Italian Forum 2013, Springer, Berlin, Heidelberg (2014)

    Google Scholar 

  8. Fishbein, M., Ajzen, I.: Belief, Attitude, intention and Behayior: An Introduction to theory and research. Addison-Wesley, Reading, MA (1975)

    Google Scholar 

  9. Folstein, M.F., Folstein, S.E., et al.: “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J. Psychiatr. Res. 12, 189–198 (1975)

    Article  Google Scholar 

  10. Gelb, D.J., Oliver, E., Gilman, S.: Diagnostic criteria for Parkinson disease. Arch. Neurol. 56(1), 33–39 (1999)

    Article  Google Scholar 

  11. Hofheinz, M., Schusterschitz, C.: Dual task interference in estimating the risk of falls and measuring change: a comparative, psychometric study of four measurements. Clin. Rehabil. 24(9), 831–842 (2010)

    Article  Google Scholar 

  12. Keus, S.H., Munneke, M., Nijkrake, M.J., Kwakkel, G., Bloem, B.R.: Physical therapy in Parkinson’s disease: evolution and future challenges. Mov. Disord. 24(1), 1–14 (2009)

    Article  Google Scholar 

  13. Lundin-Olsson, L., Nyberg, L., Gustafson, Y.: Attention, frailty, and falls: the effect of a manual task on basic mobility. J. Am. Geriatr. Soc. 46(6), 758–761 (1998)

    Article  Google Scholar 

  14. Mancini, M., Priest, K.C., Nutt, J.G., Horak, F.B.: Quantifying freezing of gait in Parkinson’s disease during the instrumented timed up and go test. In: Conference Proceedings IEEE Engineering in Medicine & Biology Society, pp. 1198–1201 (2012)

    Google Scholar 

  15. Mazilu, S., Hardegger, M., Zhu, Z., Roggen, D., Troster, G., Plotnik, M., Hausdorff, J.M.: Online detection of freezing of gait with smartphones and machine learning techniques. In: 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops (2012)

    Google Scholar 

  16. Moore, S.T., MacDougall, H.G., Ondo, W.G.: Ambulatory monitoring of freezing of gait in Parkinson’s disease. J. Neurosci. Methods 167, 340–348 (2008)

    Article  Google Scholar 

  17. Moore, S.T., Yungher, D.A., Morris, T.R., Dilda, V., MacDougall, H.G., Shine, J.M., Naismith, S.L., Lewis, S.J.: Autonomous identification of freezing of gait in Parkinson’s disease from lower-body segmental accelerometry. J Neuroeng. Rehabil. 10(19). 10.1186/1743-0003-10-19 (2013)

    Google Scholar 

  18. Nanhoe-Mahabier, W., Snijders, A.H., Delval, A., Weerdesteyn, V., Duysens, J., Overeem, S., Bloem, B.R.: Walking patterns in Parkinson’s disease with and without freezing of gait. Neuroscience 19(182), 217–224 (2011)

    Article  Google Scholar 

  19. Nieuwboer, A., Dom, R., De Weerdt, W., Desloovere, K., Fieuws, S., Broens-Kaucsik, E.: Abnormalities of the spatiotemporal characteristics of gait at the onset of freezing in Parkinson’s disease. Mov. Disord. 16(6), 1066–1075 (2001)

    Article  Google Scholar 

  20. Nutt, J.G., Bloem, B.R., Giladi, N., Hallett, M., Horak, F.B., Nieuwboer, A.: Freezing of gait: moving forward on a mysterious clinical phenomenon. Lancet Neurol. 10, 734–744 (2011)

    Article  Google Scholar 

  21. Pepa, L., Ciabattoni, L., Verdini, F., Capecci, M., Ceravolo, M.G.: Smartphone based fuzzy logic freezing of gait detection in Parkinson’s disease. In: 10th IEEE/ASME International Conference on Mechatronics and Embedded Systems and Applications (MESA), pp. 1–6 (2014)

    Google Scholar 

  22. Pepa, L., Verdini, F., Capecci, M., Ceravolo, M.G.: Smartphone based freezing of gait detection for Parkinsonian patients. In: IEEE International Conference on Consumer Electronics (ICCE) (2015)

    Google Scholar 

  23. Pepa, L., Verdini, F., Capecci, M., Ceravolo, M.G., Leo, T.: An architecture for reducing the freezing of gait during the daily life of patients with Parkinson’s disease. Gait Posture 40, S2 (2014)

    Article  Google Scholar 

  24. Pepa, L., Verdini, F., Capecci, M., Ceravolo, M.G., Leo. T.: Can the current mobile technology help for medical assistance? The case of freezing of gait in Parkinson disease. In: Ambient Assisted Living: Italian Forum 2013. Springer, Berlin, Heidelberg (2014)

    Google Scholar 

  25. Schaafsma, J.D., Balash, Y., Gurevich, T., Bartels, A.L., Hausdorff, J.M., Giladi, N.: Characterization of freezing of gait subtypes and the response of each to levodopa in Parkinson’s disease. Eur. J. Neurol. 10(4), 391–398 (2003)

    Article  Google Scholar 

  26. Shumway-Cook, A., Brauer, S., Woollacott, M.: Predicting the probability for falls in community-dwelling older adults using the timed up & go test. Phys. Ther. 80(9), 896–903 (2000)

    Google Scholar 

  27. Snijders, A.H., Haaxma, C.A., Hagen, Y.J., Munneke, M., Bloem, B.R.: Freezer or non-freezer: clinical assessment of freezing of gait. Parkinson. Relat. Disord. 18, 149–154 (2012)

    Article  Google Scholar 

  28. Tan, D.M., McGinley, J.L., Danoudis, M.E., Iansek, R., Morris, M.E.: Freezing of gait and activity limitations in people with Parkinson’s disease. Arch. Phys. Med. Rehabil. 92, 1159–1165 (2011)

    Article  Google Scholar 

  29. Tomlinson, C.L., Patel, S., Meek, C., Clarke, C.E., Stowe, R., Shah, L., Sackley, C.M., Deane, K.H., Herd, C.P., Wheatley, K., Ives, N.: Physiotherapy versus placebo or no intervention in Parkinson’s disease. Cochrane Database Syst. Rev. (2012). doi:10.1002/14651858.CD002817

    Google Scholar 

  30. Tripoliti, E.E., Tzallas, A.T., Tsipouras, M.G., Rigas, G., Bougia, P., Leontiou, M., Konitsiotis, S., Chondrogiorgi, M., Tsouli, S., Fotiadis, D.I.: Automatic detection of freezing of gait events in patients with Parkinson’s disease. Comput. Methods Progr. Biomed. 110, 12–26 (2013)

    Article  Google Scholar 

  31. Vercruysse, S., Devos, H., Munks, L., Spildooren, J., Vandenbossche, J., Vandenberghe, W., Nieuwboer, A., Heremans, E.: Explaining freezing of gait in Parkinson’s disease: motor and cognitive determinants. Mov. Disord. 27(13), 1644–1651 (2012)

    Article  Google Scholar 

  32. Wittwer, J.E., Webster, K.E., Hill, K.: Rhythmic auditory cueing to improve walking in patients with neurological conditions other than Parkinson’s disease-what is the evidence? Disabil. Rehabil. 2, 164–176 (2013)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Dipartimento di Ingegneria dell’Informazione - UNIVPM, via Brecce Bianche, 60131, AN, Italy

    Lucia Pepa, Federica Verdini & Tommaso Leo

  2. Dipartimento di Medicina Sperimentale e Clinica - UNIVPM, via Tronto, 60020, AN, Italy

    Marianna Capecci, Francesco Maracci & Maria Gabriella Ceravolo

Authors
  1. Lucia Pepa
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  2. Federica Verdini
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  3. Marianna Capecci
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  4. Francesco Maracci
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  5. Maria Gabriella Ceravolo
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  6. Tommaso Leo
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Corresponding author

Correspondence to Lucia Pepa .

Editor information

Editors and Affiliations

  1. DIEEI, Università degli Studi di Catania, Catania, Italy

    Bruno Andò

  2. Institute for Microelectronics and Microsystems IMM-CNR c/o Campus Ecotekne, Lecce, Italy

    Pietro Siciliano

  3. DIEEI, Università degli Studi di Catania, Catania, Italy

    Vincenzo Marletta

  4. Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche, Ancona, Italy

    Andrea Monteriù

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Pepa, L., Verdini, F., Capecci, M., Maracci, F., Ceravolo, M.G., Leo, T. (2015). Predicting Freezing of Gait in Parkinson’s Disease with a Smartphone: Comparison Between Two Algorithms. In: Andò, B., Siciliano, P., Marletta, V., Monteriù, A. (eds) Ambient Assisted Living. Biosystems & Biorobotics, vol 11. Springer, Cham. https://doi.org/10.1007/978-3-319-18374-9_6

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  • DOI: https://doi.org/10.1007/978-3-319-18374-9_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18373-2

  • Online ISBN: 978-3-319-18374-9

  • eBook Packages: EngineeringEngineering (R0)

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