atick-faisal/NDDNet

Neurodegenerative Disease Gait Analysis using Deep Learning

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/ 100
Emerging

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.

neurology gait-analysis disease-prediction clinical-research movement-disorders
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 14 / 25

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Stars

8

Forks

3

Language

TypeScript

License

MIT

Last pushed

Mar 28, 2023

Commits (30d)

0

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