Cyclists Cardiac Conundrum

TL;DR

This study investigates the potential of using heart rate data, especially high-rate spikes, to detect arrhythmia in athletes during exercise, developing methods to identify irregularities and analyzing their correlation with heart rhythm problems.

Contribution

The paper introduces a new approach to detect arrhythmia-related heart rate irregularities using activity data and spike detection methods, focusing on high heart rate thresholds.

Findings

Smoothing with moving average and residual thresholding effectively detects spikes in simulated data.

No significant correlation between spike rates and arrhythmia in general data.

Significant correlation found when considering spikes above 160 bpm, indicating high-rate spikes are more informative.

Abstract

Arrhythmia is an abnormality of the heart's rhythm, caused by problems in the conductive system and resulting in irregular heartbeats. There is increasing evidence that undertaking frequent endurance sports training elevates one's risk of arrhythmia. Arrhythmia is diagnosed using an electrocardiogram (ECG) but this is not typically available to athletes while exercising. Previous research by Crickles investigates the usefulness of commonly available heart rate data in detecting signs of arrhythmia. It is hypothesised that a feature termed 'gappiness', defined by jumps in the heart rate while the athlete is under exertion, may be a characteristic of arrhythmia. A correlation was found between the proportion of 'gappy' activities and survey responses about heart rhythm problems. We develop on this measure by exploring various methods to detect spikes in heart rate data, allowing us to describe the extent of irregularity in an activity via the rate of spikes. We first compare the performance of these methods on simulated data, where we find that smoothing using a moving average and setting a constant threshold on the residuals is most effective. This method was then implemented on real data provided by Crickles from 168 athletes, where no significant correlation was found between the spike rates and survey responses. However, when considering only those spikes that occur above a heart rate of 160 beats per minute (bpm) a significant correlation was found. This supports the hypothesis that jumps at only high heart rates are informative of arrhythmia and indicates the need for further research into better measures to characterise features of heart rate data.