Improving the Performance of Holter ECG Monitor with Digital Filter Comparison Method for Motion Artifact Reduction
Year: 2024
Type: article
Abstract: Holter ECG monitor is a device that records the patient's heart activity throughout the day, but the patient's body movements can cause artifacts that interfere with ECG signal quality. This study aims to improve the performance of Holter Monitor by comparing Infinite Impulse Response (IIR) and Finite Impulse Response (FIR) filters in reducing motion artifacts. Filters were applied at various orders using Butterworth and Window methods. Analysis was performed with Fast Fourier Transform (FFT) to evaluate the effectiveness of the filters in reducing artifacts. The results show that digital filters significantly reduce motion artifacts. FIR filters at high orders (6 and 8) provide a more stable signal with an average SNR value of 10.3282 at order 8. While the IIR filters at low orders (2 and 4) with an average SNR of 12.0281 at order 2, reduced the artifacts well, but at high orders were unstable and resulted in signal distortion. This research is expected to assist medical personnel in analyzing better heart signal data and improve the quality of portable heart monitoring for patients undergoing daily activities, while enabling more efficient data transmission without removing the SD Card.
Source: Jurnal Teknokes
DOI: 10.35882/k57drr92
Authors: HELENORA TOAN, HELENORA TOAN, HELENORA TOAN, Sari Luthfiyah
Institution: Poltekkes Kemenkes Surabaya
Language: English
Topic: ECG Monitoring and Analysis
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $16
OpenAlex ID: W4408342572