which represents the longest ninety fifth percentile 95 value for example for the time periods between recorded reset events that is ninety five percent of the historical time periods between reset events are shorter than the calculated alert timeout period and five percent of the historical time periods between reset events are longer than the calculated alert timeout period then the remote monitoring system 14 sets the preconfigured time period between a reset event and an alert notification for the specific local monitor device 12 to the calculated alert timeout period value this calibration process may be repeated periodically to adapt to the user 39 s change of habit or lifestyle over time fig4 is a flowchart of an exemplary process of the individual monitoring system and method 10 occurring at the remote monitoring system 14 when the remote monitoring system 14 receives a reset notification message from a local monitoring device 12 a reset event is said to have occurred as shown in block 50 when a reset event occurs the remote monitoring system 14 records the reset event such that it is associated with the particular local monitor device 12 that sent the notification message along with the time of the reset event as shown in block 52 the remote monitor service 14 keeps track of the amount of time elapsed since the last reset event for each local monitor device 12 such.