Data Mining to Support the Discrimination of Amyotrophic Lateral Sclerosis Diseases Based on Gait Analysis

Author:

Alaskar Haya,Jaafar Hussain Abir

Publisher

Springer International Publishing

Reference22 articles.

1. The EU Joint Programme – Neurodegenerative Disease Research (JPND): “WHAT IS NEURODEGENERATIVE DISEASE?” (2011)

2. National Institute of Environmental Health Sciences: “Neurodegenerative Diseases,” National Institute of Environmental Health Services. https://www.niehs.nih.gov/research/supported/health/neurodegenerative/index.cfm . Accessed 05 Dec 2017

3. Office of Communications and Public Liaison: “Amyotrophic Lateral Sclerosis (ALS) Fact Sheet | National Institute of Neurological Disorders and Stroke.” National Institute of Neurological Disorders and Stroke. https://www.ninds.nih.gov/Disorders/Patient-Caregiver-Education/Fact-Sheets/Amyotrophic-Lateral-Sclerosis-ALS-Fact-Sheet . Accessed 02 Jan 2018

4. Mannini, A., Trojaniello, D., Cereatti, A., Sabatini, A.M.: A machine learning framework for gait classification using inertial sensors: application to elderly, post-stroke and Huntington’s disease patients. Sensors 16(1), 134 (2016)

5. Hausdorff, J.M., Cudkowicz, M.E., Firtion, R., Wei, J.Y., Goldberger, A.L.: Gait variability and basal ganglia disorders: stride-to-stride variations of gait cycle timing in Parkinson’s disease and Huntington’s disease. Mov. Disord. 13(3), 428–437 (1998)

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