Akademik Veri Yönetim Sistemi
Medical Technologies National Conference (TIPTEKNO), Gazimagusa, Kıbrıs (Kktc), 26 - 28 Ekim 2025, ss.1-4, (Tam Metin Bildiri)
Prolonged and intensive use of the musculoskeletal system can lead to muscle fatigue, physiological strain within muscle tissue, and the development of various musculoskeletal disorders. Consequently, there is a need for systems that can prevent individuals from overexerting their muscles and sustaining potential injuries during daily activities or physical tasks. This study aims to develop a muscle-specific load-lifting model by assessing both subjective and objective measures of individual load-carrying capacity. Data were collected from the biceps brachii muscle of a healthy 20-year-old participant, comprising 120 samples recorded using the BIOPAC MP36 system. Subjective assessments were obtained using the Borg CR 10 scale, while objective measurements included the applied muscle force and the average muscle electrical potential recorded within a 2-second interval. Relationships between muscle force and Borg score, muscle force and normalized EMG (sEMG) signals, and Borg score and sEMG signals were analyzed to model the applicable muscle load using sEMG signals. The results demonstrated strong positive correlations across all three pairings. Furthermore, the time-domain integrated sEMG signal was modeled with respect to the Borg score, and at a Borg score of 7, the individual’s optimal muscle force capacity was estimated as 16.29 kg. The proposed model offers a valuable alternative for defining safe physical load thresholds and provides a basis for ergonomic load planning.