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A Survey on Freezing of Gait Detection and Prediction in Parkinson’s Disease

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Advances in Soft Computing (MICAI 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12468))

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Abstract

Most of Parkinson’s disease (PD) patients present a set of motor and non-motor symptoms and behaviors that vary during the day and from day-to-day. In particular, freezing of gait (FOG) impairs their quality of life and increases the risk of falling. Smart technology like mobile communication and wearable sensors can be used for detection and prediction of FOG, increasing the understanding of the complex PD. There are surveys reviewing works on Parkinson and/or technologies used to manage this disease. In this review, we summarize and analyze works addressing FOG detection and prediction based on wearable sensors, vision and other devices. We aim to identify trends, challenges and opportunities in the development of FOG detection and prediction systems.

This research has been funded by Universidad Panamericana through the grant “Fomento a la Investigación UP 2020”, under project code UP-CI-2020-MEX-11-ING.

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Author information

Authors and Affiliations

  1. Facultad de Ingeniería, Universidad Panamericana, Augusto Rodin 498, 03920, Ciudad de México, Mexico

    Lourdes Martínez-Villaseñor & Hiram Ponce

  2. Ireland’s Centre for Applied Artificial Intelligence (CeADAR), University College Dublin, Dublin, Ireland

    Luis Miralles-Pechuán

Authors
  1. Lourdes Martínez-Villaseñor
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  2. Hiram Ponce
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  3. Luis Miralles-Pechuán
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Corresponding author

Correspondence to Lourdes Martínez-Villaseñor .

Editor information

Editors and Affiliations

  1. Facultad de Ingeniería, Universidad Panamericana, Mexico City, Mexico

    Lourdes Martínez-Villaseñor

  2. Universidad Autónoma Metropolitana, Mexico City, Mexico

    Oscar Herrera-Alcántara

  3. Facultad de Ingeniería, Universidad Panamericana, Mexico City, Mexico

    Hiram Ponce

  4. Universidad Autónoma del Estado de Hidalgo, Hidalgo, Mexico

    Félix A. Castro-Espinoza

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Martínez-Villaseñor, L., Ponce, H., Miralles-Pechuán, L. (2020). A Survey on Freezing of Gait Detection and Prediction in Parkinson’s Disease. In: Martínez-Villaseñor, L., Herrera-Alcántara, O., Ponce, H., Castro-Espinoza, F.A. (eds) Advances in Soft Computing. MICAI 2020. Lecture Notes in Computer Science(), vol 12468. Springer, Cham. https://doi.org/10.1007/978-3-030-60884-2_13

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  • DOI: https://doi.org/10.1007/978-3-030-60884-2_13

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