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CNN‐Based Neurodegenerative Disease Classification Using QR‐Represented Gait Data

The primary aim of this study is to develop an effective and reliable diagnostic system for neurodegenerative diseases by utilizing gait data transformed into QR codes and classified using convolutional… Click to show full abstract

The primary aim of this study is to develop an effective and reliable diagnostic system for neurodegenerative diseases by utilizing gait data transformed into QR codes and classified using convolutional neural networks (CNNs). The objective of this method is to enhance the precision of diagnosing neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS), Parkinson's disease (PD), and Huntington's disease (HD), through the introduction of a novel approach to analyze gait patterns.

Keywords: neurodegenerative disease; gait data; gait; based neurodegenerative; cnn based

Journal Title: Brain and Behavior
Year Published: 2024

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