Inspiration
One of our team member’s close relatives is studying in medical school which inspired our team idea on coming up with medical tool development. By connecting the dots of what we have been learning in our university from different faculties consisting of commerce and administration, dentistry and engineering. We have seen that the number of deaths from cardiac diseases is high ,so we want to detect the sound signal of cardiac disease to help more people from cardiac disease at the early days.
What it does
Heartbose is the application that evaluate the probability of cardiac diseases by detect abnormal heart sound or heart murmur via Digital stethoscope and interpret the data by using machine learning-classification Lstm And deep learning-neural network
Challenges we ran into
How to find the idea that dont have in PULSE application Advanced coding in deep learning Medical terms are hard for normals to understand. We do have limited range of knowledge and tools since we are all still undergraduates, medical data (most of them were confidential).
Accomplishments that we're proud of
The machine learning model that can detect the heart sound of people who is normal or abnormal
What we learned
How to apply the digital stethoscope Transformation of signal wave into raw data Deep Learning Neural Network
What's next for HeartBose
Since telemedicine is more popular for medication in the current pandemic, HeartBose can be implemented in patient’s health check-ups. Our team will develop the ML model, so that it provides more accuracy in heart disease’s prediction. More cardiac diseases can be detected after the increase in dataset.
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