Anomaly Detection Approach

Hi,

I have a signal comes in every ms in real time. And I have saved it in mySQL, (It looks like a heart beat waveform.) I wonder if there is any example of anomaly detection? Not just max or min, but the waveform like the duration of that pulse, and the shape of the pulse.

Shall I use LSTM like a speech? My dataset is only the normal one, I don’t have any abnormal dataset.
I have search the web and there is a list of tools. I wonder what is the right approach and has anyone implemented in the Nvidia nano.

Thanks,

Hi,

Sorry that we don’t have too much experiment on the anomaly detection.
Maybe you can check our healthcare page for some information:

Thanks.

Hi,

Thanks. I just want to know if jetson has or will have an anomaly detection (or LSTM) demo soon.
Or is there any jetson LSTM model that I can try? ('Coz I saw the Nvidia NX demo can recognize voice)

My friend and I have problem before porting the model from desktop to the nano. The fps drops a lot, is there any link that teach me how to convert a tensorflow model to tensorRT?

BTW, real-time detection will be great.

Thanks,

Hi,

We do have several built-in LSTM sample:

/usr/src/tensorrt/samples/sampleNMT
/usr/src/tensorrt/samples/sampleCharRNN

In sampleNMT, it uses the TensorFlow seq2seq model which may meet your requirement.

Thanks.