Publications by authors named "Nemecio Olvera-Montes"

Pulmonary auscultation with traditional stethoscope, although useful, has limitations for detecting discontinuous adventitious respiratory sounds (crackles) that commonly occur in respiratory diseases. In this work, we present the development of a mobile health system for the automated detection of crackle sounds, comprised by an acoustical sensor, a smart phone device, and a mobile application (app) implemented in Android. The app allows the physician to record, store, reproduce, and analyze respiratory sounds directly on the smart phone.

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Article Synopsis
  • A mobile health system was developed to automate the detection of crackle sounds in respiratory diseases using an acoustical sensor linked to a smartphone app designed for Android.
  • The app enables physicians to record, analyze, and store respiratory sounds, overcoming limitations of traditional stethoscopes in detecting crackles.
  • Testing showed high accuracy, sensitivity, and specificity for detecting fine crackles, while coarse crackles posed more challenges; results indicate the system's potential use in clinical settings to evaluate patients' pulmonary conditions.
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