Wearable ballistocardiogram and seismocardiogram systems for health and performance

Mozziyar Etemadi1,2, Omer T Inan3

  • 1Department of Anesthesiology, Feinberg School of Medicine, Northwestern University , Chicago, Illinois.

Insights

Wearable sensors using ballistocardiography (BCG) and seismocardiography can now monitor heart mechanics, enabling proactive cardiovascular disease (CVD) management and performance optimization in challenging environments.

Area of Science:

  • Biomedical Engineering
  • Cardiovascular Physiology
  • Wearable Technology

Background:

  • Cardiovascular diseases (CVDs) significantly impact heart mechanics.
  • Wearable technology offers potential for proactive CVD management and wellness monitoring.
  • Monitoring mechanical heart function is crucial for managing CVDs and optimizing performance.

Purpose of the Study:

  • To develop wearable ballistocardiogram (BCG) and seismocardiogram systems for monitoring cardiovascular mechanical health.
  • To enable proactive management of CVDs and enhance human performance in austere settings.
  • To improve estimation of key cardiovascular health parameters using wearable sensors.

Main Methods:

  • Utilized miniature, low-noise accelerometers to capture body movements from heartbeats.
  • Developed novel machine learning algorithms to mitigate motion artifacts and sensor misplacement.
  • Mathematically related local wearable BCG signals to whole-body BCG signals for improved health parameter estimation.

Main Results:

  • Demonstrated the ability to monitor relative changes in cardiac output, contractility, and blood pressure.
  • Validated systems through experiments with healthy subjects and heart failure patients.
  • Successfully tested systems in austere environments, including water immersion.

Conclusions:

  • Wearable BCG and seismocardiography systems provide a tool for non-clinical monitoring of cardiovascular mechanical function.
  • These systems can aid clinicians in titrating care for CVD patients and in preventative screening.
  • Future applications include optimizing performance in austere environments with real-time physiological data.

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