About a million children see a pediatric cardiologist for innocent heart murmur per year in the US alone.
StethAid empowers pediatricians to analyze murmurs accurately using their smartphone.
Fewer unnecessary pediatric cardiologist referrals means healthcare cost savings and less anxiety to families.
September 2017 – Washington Business Journal Honoree.
April 2017 – Recognized and supported by Atlantic Pediatric Device Consortium.
March 2017 – Recognized by MedCity News.
September 2016 - Received NIH SBIR phase I grant
We developed an accurate segmentation algorithm to locate the first and the second heart sounds. Once these sounds were identified, we extracted signal features specific to Still's murmur. Subsequently, machine learning-based classifiers, artificial neural network and support vector machine, were used to identify Still's murmur.
We are looking to add hardworking person skilled in machine learning and signal processing to our team. Please send in your resume.
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