On the design and development of a handheld electrocardiogram device in a clinical setting

Alejandra Zepeda-Echavarria1, Niek C M Ratering Arntz1, Albert H Westra1

  • 1Department of Medical Technology and Clinical Physics, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.

PubMed

Insights

Researchers developed the miniECG, a four-electrode device, to explore if limited leads can diagnose cardiovascular diseases (CVDs) beyond atrial fibrillation (AF). This hospital-based development streamlines clinical research technology creation.

Area of Science:

  • Biomedical Engineering
  • Cardiology
  • Medical Device Development

Background:

  • Cardiovascular diseases (CVDs) represent a significant global health challenge.
  • Electrocardiography (ECG), particularly the 12-lead system, is crucial for CVD detection and diagnosis.
  • Advancements in portable ECG technology, often limited to atrial fibrillation (AF) detection, necessitate further investigation into broader diagnostic capabilities.

Purpose of the Study:

  • To assess the diagnostic potential of a four-electrode ECG system for various cardiovascular diseases (CVDs).
  • To describe the development process of the miniECG, a novel four-electrode handheld ECG system for clinical research.

Main Methods:

  • Assembled a multidisciplinary team of engineers, cardiologists, and clinical physicians.
  • Engaged in iterative design, incorporating user input and evolving intended use.
  • Ensured device safety and functionality through rigorous testing within a clinical research context (TRL6).

Main Results:

  • Successfully developed the miniECG, a four-electrode handheld ECG system compliant for scientific research.
  • Demonstrated a hospital-based development approach facilitating a streamlined process for clinical research technology.

Conclusions:

  • The miniECG system shows potential for broader CVD diagnosis beyond AF using a limited electrode configuration.
  • The described hospital-led, multidisciplinary development model can accelerate the creation of other clinical research technologies.

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