๐Ÿ“–
Identifying unique gait phenotypes across neuromotor conditions using wearable inertial sensors and topological data analysis.
Daneshgar S, Campagnini S, Macaluso R, O'Brien MK, Lieber RL, Jayaraman A

Identifying unique gait phenotypes across neuromotor conditions using wearable inertial sensors and topological data analysis.

Medicine & Health Published 2026 Verification Pending

Overview & Synopsis

Open access biomedical research article published in NPJ Digit Med.

Advertisement
SPONSOR CONTENT
Indexed from repository: PubMed Central (pmc.ncbi.nlm.nih.gov)
Loading document from verified source...
Keyboard Shortcuts: ← / → for pages • + / - for zoom • 0 to fit width Powered by Mozilla PDF.js v3.11

Document Information

Document Title Identifying unique gait phenotypes across neuromotor conditions using wearable inertial sensors and topological data analysis.
Author / Organization Daneshgar S, Campagnini S, Macaluso R, O'Brien MK, Lieber RL, Jayaraman A
Subject & Discipline NPJ Digit Med
Categories Medicine & Health
Publication Year 2026
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website PubMed Central (pmc.ncbi.nlm.nih.gov)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-44570
Original Source Link Visit Source Page on pmc.ncbi.nlm.nih.gov »