Event-trigger is used to obtain the measurements transmission instants in networked control systems. Under continuous measurements it can generate an infinite number of events in finite time (Zeno phenomenon) what makes it inapplicable to the real world systems. Periodic event-trigger avoids this behavior but does not use all the available information. In the present paper we aim to exploit the advantage of the continuous-time measurements and guarantee positive lower bound on the inter-event times. Our approach is based on a switching between periodic sampling and continuous event-trigger. It is applicable to the systems with polytopic-type uncertainties and assures the Input-to-State Stability in the presence of external disturbances and measurement noise. By an example we demonstrate that the switching approach to event-triggered control can reduce the network workload compared to periodic event-trigger.