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2h ago

IPN Unveils AI Stethoscope That Flags Heart Valve Damage With 96% Accuracy

Designed as a low-cost, standalone tool for clinicians, the prototype is headed for patent registration.

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El estudiante de ingeniería biomédica, Víctor Manuel Arena; y los doctores Diana Bueno y Alberto Zamora, en el IPN. Fotos: Especial
El dispositivo detecta los sonidos irregulares emitidos por las válvulas tricúspide y mitral y despliega

Overview

  • Onboard neural networks classify captured heart sounds and render visual cues on a 240×320 TFT display.
  • The prototype detects S3 and S4 abnormal sounds associated with valve dysfunction and heart failure, reporting 96% accuracy.
  • The unit operates independently of phones or PCs, incorporating a microphone, microprocessor and a 5V USB‑rechargeable battery.
  • A 3D‑printed PLA enclosure houses the portable device, which researchers say can be adapted for pediatric exams.
  • Project leads at IPN’s UPIBI plan to register a patent and expand detection capabilities, presenting the tool as a prediagnostic aid for clinicians.