Which technique or toolbox for recognizing "events" in a multi-sensor data stream?

I have a number of sensors arranged circumferentially around a cylinder. Each sensor is recording data. I want to batch analyse the data of all channels (sensors) simultaneously in Matlab to locate "events".

I know the approximate shape of an event (the data goes down to a trough and then rises to a peak before dropping back down to baseline) but not the size (length and peak to peak height), location or quantity. They will vary in size from only just visible above noise to very pronounced.

Also, an event may be seen over several channels, they will occur at approximately the same point in time.

I would like to automatically search a matrix, one column per channel each row taken at the same point in time, for all of the events present. What is the best approach to achieving this? I am running 2016a and I currently have no toolboxes, but am open to purchasing one or max two, if they will definitely help. But I'm stuck on finding an approach and would appreciate the help of all you experts.

Many thanks

[jlt199]

Morning, I haven't had any responses to this urgent question, is there anything I can add to make it clearer?

Many thanks

[Geoff Hayes]

jlt199 - see http://www.mathworks.com/matlabcentral/answers/29922-why-your-question-is-not-urgent-or-an-emergency.

Also, how many sensors do you have? How often do you receive updates? Are you expecting to process the updates in real-time or offline?

[jlt199]

Apologies for the use of the U-word.

The number of sensors I have depends on the instrument being used, in the current data I am working with there are 60 sensors, updates are received at rate of ~5Hz and I am trying to analyse the data offline.

Thanks