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Comparison of deep and conventional machine learning methods in predicting joint moments in patients with cerebral

Mustafa Erkam Özates1, Firooz Salami2, Sebastian Immanuel Wolf2

  • 1Electrical Electronics Engineering, Faculty of Engineering, Turkish- German University, Merkez, Merkez, Şahinkaya Cd. No:106, 34820, 34820, Beykoz, İstanbul, Türkiye.

Medical & Biological Engineering & Computing
|March 17, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Cerebral palsyGait analysisJoint momentsMachine learning

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The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
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