SPIRA: Building an Intelligent System for Respiratory Insufficiency Detection
This work addresses respiratory insufficiency detection for medical applications, but it is incremental as it focuses on summarizing lessons from existing implementations rather than introducing new methods or results.
The authors tackled the problem of detecting respiratory insufficiency from voice by building the SPIRA system, reporting on challenges and lessons learned from two implementations of the same architecture.
Respiratory insufficiency is a medic symptom in which a person gets a reduced amount of oxygen in the blood. This paper reports the experience of building SPIRA: an intelligent system for detecting respiratory insufficiency from voice. It compiles challenges faced in two succeeding implementations of the same architecture, summarizing lessons learned on data collection, training, and inference for future projects in similar systems.