Anomaly detection on a time-series data in a CSV format using python
With so little data, you aren't going to get specific algorithms suggested. In addition most folk would like you to give it a try first. My approach would be to first plot the time vs. signal data. Visually inspect the data for outliers. People are pretty good at this. I would then try to describe a mathematical model to fit the data with the outliers removed. Finally you can identify the outliers as those points greater than some statistical measure away from the difference of the model and the data.