Method and System for Heart Rate Estimation Using Linear Prediction Filtering
Year: 2025
Type: article
Abstract: Cardiovascular diseases are one of the major problems of modern society. In addition to reducing people’s quality of life, bringing high costs to the health system, and loss of economic productivity, they are the leading cause of death in the world. Early diagnosis and treatment are the best actions to minimize the damage and costs caused by them. For this, developing techniques and technologies that have better accuracy in the analysis of electrocardiogram (ECG) signals is necessary. This work presents a method and system for heart rate estimation using linear prediction filtering. The system design centers on an ESP32 microprocessor module and an AD8232 ECG signal conditioning module. The implementation of the LPC algorithm for determining heart rate with real-time processing was validated with a Tektronix AFG1022 function generator that produces ECG signals and obtains measurements with accuracy above 98.8667%, showing performance similar to works presented in the literature.
Source: Signals
Authors: Vitor O. T. Souza, Fabrício G. S. Silva, José Mário Araújo, Jaimilton dos Santos Lima
Institution: Instituto Federal da Bahia
Language: English
Topic: ECG Monitoring and Analysis
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,207
Award: G1743793637
OpenAlex ID: W4408820368