Medicine and Health

Real-time deep learning-assisted mechano-acoustic system for respiratory diagnosis and multifunctional classification

H. K. Lee, S. U. Park, et al.

Discover an innovative approach to real-time respiratory pattern monitoring using a wireless mechano-acoustic sensor integrated with a deep learning system. This groundbreaking research conducted by Hee Kyu Lee, Sang Uk Park, Sunga Kong, Heyin Ryu, Hyun Bin Kim, Sang Hoon Lee, Danbee Kang, Sun Hye Shin, Ki Jun Yu, Juhee Cho, Joohoon Kang, Il Yong Chun, Hye Yun Park, and Sang Min Won could revolutionize COPD diagnosis, providing a promising alternative to traditional spirometry.