Design Space Exploration for Efficient Implementation of Atrial Fibrillation Detection on Low-power Embedded Platforms

Type of work:

Bachelor Thesis

Assignment:

The goal of this work is to explore various low-power embedded platforms and related optimizations for an efficient implementation of DNN-based atrial fibrillation detection.

Skills:

• C / C++
• Python
• Pytorch / TensorFlow

Supervisor:

V. Rybalkin

Student:

Michael Petrosyan

Year:

2023