Abstract
Every year more than 50 million people suffer from neurodegenerative diseases that impact their lives and wellbeing. These neurodegenerative diseases have many symptoms, some of which manifest in the form of gait (walking) disorders. Measuring these gait disorders and recording changes over time can lead to early detection of possible neurodegenerative diseases. The developed wearable device, EDGAR (Early Detection of Gait AbnoRmalities), utilizes Arduino and external sensors to detect and monitor gait abnormalities. EDGAR is able to detect the small changes in the parameters: stride length, and cadence.
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