Open Lab

OL16 Heart going Chaotic: Fractal model based ML to classify arrhythmia from ECG dataset

Background

Fractals are beautiful! But they show the beauty of something that is chaotic! Something else that is chaotic and impressive is human-heart. There has been a lot of work suggesting that the human heart motion is chaotic and fractals maybe a good processing tool to model them.

Aim/goal/research question

ECG data analysis using various fractal features. Design of classifier based on the fractal features. Design of a deep-learning classifier based on fractal features.

Method

In this work, the student will develop machine learning tools based on chaos-theory and fractals to classify arrhythmia from ECG.

Recommended past experience/interest

Coding skills, DSP Skills, passion for beauty!

Contact

amit.kumar-mishra@hv.se