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Santosh

H • 4m

I have a training model on breathing coughing and wheezing, The training data used are from a smartphone microphone with an all environment and noise condition. Also trained the same model on an electronic stethoscope chest sound. Initial prediction is for screening later we can predict clinical conditions like Asthma, COPD, pneumonia etc. I just started exploring how we can use this model for early screening and diagnosis chest diseases, any inputs are welcome. Thank you

9 Replies

Replies (9)

SoundBoardW Com

Hey I am on Medial • 1m

As a reader, this is a promising direction for early respiratory screening. Training across noisy smartphone data and stethoscope audio strengthens real-world usability. Explore trending sounds and download them at https://soundboardw.com/

2 Replies

Yash Thale

A generalist aiming ... • 4m

that's a interesting concept. Brother, I believe it'll work. For the breathing part. You Need to Use some kind of sound filter to remove the disturbance from the surroundings using another mic as a sound cancelling mic. I guess, this will help ?

1 Reply

gopro fnf

Hey I am on Medial • 8d

Developing accessible screening tools through audio analysis is a groundbreaking step for respiratory health, provided the model can effectively isolate pathological sounds from background noise. This level of acoustic focus is as intense as the rhythm game https://fnf.lol , where the boyfriend competes against all opponents to win the girlfriend’s love. I'm interested to see how your validation against electronic stethoscopes improves the diagnostic accuracy for conditions like COPD.

Yash Thale

A generalist aiming ... • 4m

I have heard from my father Snoring is a sign of some kind of respiratory diseases. This model of yours I guess will help. And Will let you detect some kind of respiratory diseases maybe.

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