eegkit / robust-peak-detection-algorithm

Robust peak detection algorithm (using z-scores) built in Python

Robust peak detection algorithm (using z-scores)

Implementation of algorithm from Robust peak detection algorithm in Python.

This algorithm has been modified in order to work with real-time streams. It doesn't recalculate all data points on arrival of a new one.

Assumption

I used this algorithm with a watch ticks dataset, taken from a phone microphone.

For semplicity, lag is the same size of the first dataset quartz1, that is used to calculate the mean, the variance and the standard deviation of the first 1280 rows. After the initialization, the stream has been simulated with the quartz2 dataset; for every element, the mean, the variance and the standard deviation is recalculate.