atick-faisal/NDDNet
Neurodegenerative Disease Gait Analysis using Deep Learning
This project helps neurologists and clinical researchers analyze patient gait patterns to predict neurodegenerative diseases. By inputting gait data, such as signals from force plates or motion sensors, it outputs a prediction about the likelihood of a patient having a neurodegenerative condition. It is designed for medical professionals or researchers working with patient mobility data.
No commits in the last 6 months.
Use this if you need an automated tool to help identify potential neurodegenerative diseases from patient gait measurements.
Not ideal if you are looking for a diagnostic tool for immediate clinical use without further medical interpretation.
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8
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3
Language
TypeScript
License
MIT
Category
Last pushed
Mar 28, 2023
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