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Improved C-Fuzzy Decision Tree with controllable membership Characteristics for Intrusion Detection

2008/07/07 by Gwendolen A. Jull, Gwendolen Jull, Shaun P. O'Leary +6 · 2 citations
Computer Science · Engineering · Medicine · #Anomaly Detection Techniques and Applications #Artificial Immune Systems Applications #Musculoskeletal pain and rehabilitation #Network Security and Intrusion Detection #Shoulder Injury and Treatment #Spine and Intervertebral Disc Pathology

paper · doi:10.1016/j.jmpt.2008.08.003

openalex publication_date 2008/07/07 · openalex created_date 2016/06/24 · openalex updated_date 2026/06/26

Abstract

Research has established that patients with neck pain disorders, compared to controls, have an altered neuromotor control strategy during craniocervical flexion characterized by reduced activity in the deep cervical flexors and increased activity in the superficial flexors usually accompanied by altered movement strategies. Furthermore, they display reduced isometric endurance of the deep cervical flexor muscles. The muscle impairment identified with the CCFT appears to be generic to neck pain disorders of various etiologies. These observations prompted the use of the craniocervical flexion action for retraining the deep cervical flexor muscles within a motor relearning program for neck pain patients, which has shown positive therapeutic benefits when tested in clinical trials.

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