Automobile assembly workers routinely engage in repetitive tasks with varying workload volumes, dictated by their specific workstation assignments. Such occupational activities, especially with inadequate recovery (return to the body’s resting condition), can lead to the development of cardiovascular and musculoskeletal disorders. However, the adoption of biosignal-monitoring-based strategies to mitigate these risks remains limited. This study aims to examine the Electromyogram (EMG), Electrocardiogram (ECG), and Respiratory Inductance Plethysmography (RIP) data to comprehend the evolution of both muscular and cardiorespiratory load for different workstations. Sixteen male operators (age = 38 ± 8 years; BMI = 25 ± 3 kg/m \(^2\) ) from three workstations (H1, H2, and H3) with work cycle durations of 1, 3, and 5 min, respectively, volunteered for the study. The results indicated that distinct workload volumes led to unique cardiovascular patterns, identified through heart rate variability (HRV), as well as respiratory frequency, variability, and coordination over the monitored period. Significant differences were observed in the biceps’ load between recording moments for H3 and H2, in terms of median frequency and amplitude, respectively. Simultaneous monitoring of these biosignals offers the potential for a more comprehensive and individualized risk assessment of assembly-line tasks.