HYBRID EVENT: You can participate in person at London, UK or Virtually from your home or work.

5th Edition of Euro-Global Conference on Biotechnology and Bioengineering

September 18-20 | Hybrid Event

September 18-20, 2025 | London, UK
ECBB 2022

Portable system for the acquisition and processing of electrocardiographic signals to obtain different metrics of heart rate variability

Daniel Felipe Bohorquez Vargas, Speaker at Biotechnology Conferences
University of La Sabana, Colombia
Title: Portable system for the acquisition and processing of electrocardiographic signals to obtain different metrics of heart rate variability

Abstract:

Heart rate variability (HRV) is defined as the temporary variation between heartbeats or RR intervals (distance between R waves in an electrocardiographic signal). This distance is currently a recognized biomarker. With the analysis of the distance, it is possible to assess the sympathetic and parasympathetic nervous systems. These systems are responsible for the regulation of the cardiac muscle. The analysis allows health specialists and researchers to diagnose various pathologies based on this variation.

For the acquisition and analysis of HRV taken from a cardiac electrical signal, electronic equipment and analysis software that work independently are currently used. This complicates and delays the process of interpretation and diagnosis. With this delay, the health condition of patients can be put at greater risk. This can lead to an untimely treatment.

This document presents a single portable device capable of acquiring electrocardiographic signals and calculating a total of 19 HRV metrics. This reduces the time required, resulting in a timelier intervention. The device has an electrocardiographic signal acquisition card attached to a microcontroller capable of transmitting wirelessly the cardiac signal to a mobile device. In addition, a mobile application was designed to analyse the cardiac waveform, the device calculates the RR and different metrics. The application allows a user to visualize in real time the cardiac signal and the 19 metrics. The information is exported to a cloud database for remote analysis

The study was performed under controlled conditions in the simulated hospital at the University of La Sabana, Colombia. A total of 60 signals were acquired and analysed. The device was compared against two reference systems. The results show a strong level of correlation (r > 0.95, p < 0.05) between the 19 metrics compared.

Therefore, the use of the portable system evaluated in clinical scenarios controlled by medical specialists and researchers is recommended for the evaluation of the condition of the cardiac system.

Biography:

Graduated in electronic engineering in 2020 from the Central University of Colombia, with a degree project focused on the integration of hardware and software for the development of electronic devices for research, currently in the last semester of the master's degree in Design and Process Management at the University of La Sabana. He currently serves as a graduate assistant and part-time professor at the same university. He has additionally developed different electronic devices (in patent process) with an IOT focus in the field of bioengineering.

 

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