Digital Signal Processing for a Wireless ECG Device

Wireless Electrocardiogram (WiECG)

Bachelor Thesis (2022)
Author(s)

S. Speekenbrink (TU Delft - Electrical Engineering, Mathematics and Computer Science)

K. Khalili (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

W.A. Serdijn – Mentor (TU Delft - Bio-Electronics)

Asli Boru – Graduation committee member (TU Delft - Delft Centre for Entrepreneurship)

Leo C. N. de de Vreede – Graduation committee member (TU Delft - Electronics)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2022 Sebastian Speekenbrink, Keyvan Khalili
More Info
expand_more
Publication Year
2022
Language
English
Copyright
© 2022 Sebastian Speekenbrink, Keyvan Khalili
Graduation Date
17-06-2022
Awarding Institution
Delft University of Technology
Programme
['Computer Engineering']
Faculty
Electrical Engineering, Mathematics and Computer Science
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The goal of the WiECG project is to create a prototype device that makes it possible to perform a 12-lead ECG measurement on patients without wires from the patient to a monitor. The solution consists of a transmitter and receiver, one of which is close or on the patients body and the other is connected to a monitor.

This thesis describes the design and implementation of a subsystem of the prototype device that performs digitization, digital processing and reconstruction of the measured 12-lead ECG signal. This concerns converting nine 0 to 3.3V analog signals to the digital domain by using Analog-to-Digital converters, real-time filtering of nine signals with multiple digital IIR filters and reconstructing nine digital signals to the analog domain using Digital-to-Analog converters. Furthermore, component selection, design decisions and the implementation process will be detailed in this document.

The subsystem proposed in this paper is able to successfully sample, efficiently filter and reconstruct nine signals in real time. Recommendations on improving the implementation to better adhere to the lower power requirements for a longer battery life are provided as future research prospects.

Files

License info not available