Making Sense of Shoulder Exercise: Measuring the Accuracy of an Artificial Intelligence Model to Classify Shoulder Exercise via Wearable Sensors Among People With and Without Rotator Cuff Tendinopathy.

This study aimed to compare the accuracy of machine learning classification for three commonly prescribed shoulder exercises in people with and without rotator cuff tendinopathy. Eighteen participants with rotator cuff tendinopathy (mean age 54.2, SD 13.2; 50% female), followed by eighteen matched c...

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Detalles Bibliográficos
Publicado en:European Journal of Sport Science Vol. 26; no. 5; pp. 1 - 14
Autores principales: Naunton, Josh, Jiang, Yanran, Bini, Rodrigo, Kidgell, Dawson, Bennell, Kim, Haines, Terry, Kulić, Dana, Malliaras, Peter
Formato: pictorial research tables/charts Journal Article
Publicado: Wiley-Blackwell May2026
Acceso en línea:Ver este registro en EBSCOhost