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The proliferation of wearable technology has revolutionized sports science, providing detailed insights into athlete performance and physical condition. However, the use of ECG in dynamic, high-contact sports like handball presents significant challenges. This paper introduces HeartTrack, an open-source wearable electrocardiogram (ECG) monitoring system designed specifically for monitoring athlete exertion in real-world sporting conditions. The system employs a distributed architecture based on the Message Queuing Telemetry Transport (MQTT) protocol for robust and decoupled data handling. Firstly, the system provides a real-time dashboard for the immediate visualization of the incoming ECG waveform alongside the calculated physiological parameters. Secondly, we report on a system validation study conducted during a handball training session, demonstrating the system’s capability to quantify significant changes in cardiovascular metrics corresponding to player exertion. The key findings confirmed that the system could effectively track significant changes in heart rate and heart rate variability that correspond directly to varying levels of physical exertional activity. The system design and software is shared at: hearttrack.cloud.

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Real-Time ECG and HRV Monitoring in Handball Using a Low-Cost Wearable Sensor

  • 会议论文

  • 发表日期：

    2026年

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  • Jonas Pöhler,
  • Dimitri Laumann,
  • Kristof Van Laerhoven

摘要

The proliferation of wearable technology has revolutionized sports science, providing detailed insights into athlete performance and physical condition. However, the use of ECG in dynamic, high-contact sports like handball presents significant challenges. This paper introduces HeartTrack, an open-source wearable electrocardiogram (ECG) monitoring system designed specifically for monitoring athlete exertion in real-world sporting conditions. The system employs a distributed architecture based on the Message Queuing Telemetry Transport (MQTT) protocol for robust and decoupled data handling. Firstly, the system provides a real-time dashboard for the immediate visualization of the incoming ECG waveform alongside the calculated physiological parameters. Secondly, we report on a system validation study conducted during a handball training session, demonstrating the system’s capability to quantify significant changes in cardiovascular metrics corresponding to player exertion. The key findings confirmed that the system could effectively track significant changes in heart rate and heart rate variability that correspond directly to varying levels of physical exertional activity. The system design and software is shared at: hearttrack.cloud.