This paper addresses the event-triggered control problem for a class of nonlinear systems with unknown parameters, dead-zone input, and external disturbances. The authors propose an event-triggered adaptive control scheme using backstepping techniques. The key innovation is the consideration of threshold disturbances in the triggering mechanism, which accounts for measurement errors in input signal measurements. This dynamic threshold is designed to be a time-varying term with static constant values and dynamic disturbances. The controller design includes a smooth function to approximate the discontinuous sign function, ensuring the continuity of the control input signal. The stability and tracking performance of the closed-loop system are guaranteed through a Lyapunov function analysis. Numerical simulations demonstrate the effectiveness of the proposed control scheme, showing better tracking performance and fewer trigger times compared to a reference controller. The paper concludes with suggestions for future work, including the consideration of more general dead-zone input models and the relationship between the triggering threshold and the size of the control input.This paper addresses the event-triggered control problem for a class of nonlinear systems with unknown parameters, dead-zone input, and external disturbances. The authors propose an event-triggered adaptive control scheme using backstepping techniques. The key innovation is the consideration of threshold disturbances in the triggering mechanism, which accounts for measurement errors in input signal measurements. This dynamic threshold is designed to be a time-varying term with static constant values and dynamic disturbances. The controller design includes a smooth function to approximate the discontinuous sign function, ensuring the continuity of the control input signal. The stability and tracking performance of the closed-loop system are guaranteed through a Lyapunov function analysis. Numerical simulations demonstrate the effectiveness of the proposed control scheme, showing better tracking performance and fewer trigger times compared to a reference controller. The paper concludes with suggestions for future work, including the consideration of more general dead-zone input models and the relationship between the triggering threshold and the size of the control input.