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.
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.
Discussed herein are an apparatus and a corresponding method for classifying a murmur detected in a heart signal as a Still's murmur. Circuitry included in the apparatus segments a heart signal to detect a first lobe (S1) and a second lobe (S2) of the heart signal.
© 2017 All right reserved.