Abstract

Atrial fibrillation (AF) is a common type of cardiac arrhythmia. AF is associated with increased rates of death and hospitalizations. It is also related to a degraded quality of life and reduced exercise capacity. Ageing increases the risk of developing AF, as well as hypertension and obesity. Continuous ECG monitoring is required in patients with previously diagnosed AF. Studies have also demonstrated that daily ECG monitoring increases the successful detection of silent AF among older adults. In this sense facilitating AF monitoring using portable devices such as Smartphones will increase patients life quality and could help to an early diagnosis. With this in mind in this work we present a proposal to detect AF using pulsatile photoplethysmogram (PPG) signal from a fingertip using the built-in camera lens in a smartphone. We developed an algorithm intended to sense paroxysmal AF considering resource utilization capabilities in order to be used in mobile devices with constrained.

Highlights

  • Atrial fibrillation (AF) is a common heart rhythm disorder that has gained clinical importance [1]

  • We collected the data with the sensor embedded in the Samsung smartphone

  • In this work we proposed a solution to detect and monitor AF using a smartphone

Read more

Summary

Introduction

Atrial fibrillation (AF) is a common heart rhythm disorder that has gained clinical importance [1]. AF can be detected by continuously monitoring the patient In this sense, electrocardiography (ECG) is the most common form of monitoring patient’s heart rate[3]. The simplest PPG sensor includes a LED and a photodetector that get in contact with the skin surface to monitor cardiac activity. Due to their popularity, PPG sensors are often studied to measure their efficacy in terms of heart rate variability (HRV) assessment [6]-[10]. PPG sensors are often studied to measure their efficacy in terms of heart rate variability (HRV) assessment [6]-[10] Following this trend, this work develops an algorithm for atrial fibrillation detection using PPG signals. The main goal is to implement an AF monitor system on a mobile device (i.e. smartphone) to facilitate AF monitoring while simultaneously increasing patient comfort

Methods
Results
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.