Diagnosis of disease affecting gait with a body acceleration-based model using reflected marker data for training and a wearable accelerometer for implementation

Diagnosis of disease affecting gait with a body acceleration-based model using reflected marker data for training and a wearable accelerometer for implementation

Abstract This paper demonstrates the value of a framework for processing data on body acceleration as a uniquely valuable tool for diagnosing diseases that affect gait early. As a case study, we used this model to identify individuals with peripheral artery disease (PAD) and distinguish them from th...

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Bibliographic Details
Main Authors: Mohammad Ali Takallou, Farahnaz Fallahtafti, Mahdi Hassan, Ali Al-Ramini, Basheer Qolomany, Iraklis Pipinos, Sara Myers, Fadi Alsaleem
Format: Article
Language:English
Published: Nature Portfolio 2024-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-50727-8

Internet

https://doi.org/10.1038/s41598-023-50727-8

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