EEVblog Electronics Community Forum
General => General Technical Chat => Topic started by: tlhsglm on April 10, 2021, 07:12:38 pm
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Hi fellows,
Noise is unwanted for measurement machines most of the time.And most of the time we are doing filtering process to a acceptible range that generally smooths our graphic. But in medical machines i think that range is very very tiny and cant let noise to achive a test results or a robotic arm's motor that works in someones brain. It's really a serius job, you cant just let noise to act a motor when a robotic arm inside of a human.
So how they are filtering the noise? I googled but there is no topic about it, maybe my key point was incorrect. Do you know how they do it or can you give me traces?
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There are dozens of ways to filter noise, each for different environments/types of noise. For medical devices its all about mitigating internal noise as much as possible and designing a circuit that can filter out or recognize external noise.
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Old aphorism: the soultion to all signal processing problems is to integrate for longer.
Given white noise, the best results are achieved by a "matched filter", i.e. one that is tuned to the specific signal of interest.
https://en.wikipedia.org/wiki/Matched_filter
If, on the other hand you are thinking of preventing noise being mixed with the signal, then that requires a totally different set of techniques.