SPIRA: Building an Intelligent System for Respiratory Insufficiency Detection

TL;DR

This paper presents SPIRA, an intelligent voice-based system for detecting respiratory insufficiency, highlighting challenges and lessons learned in its development process.

Contribution

It introduces a novel system for respiratory detection from voice and shares insights from two implementation attempts.

Findings

Identified key challenges in data collection and model training.

Provided lessons learned for future voice-based medical systems.

Demonstrated the feasibility of detecting respiratory issues via voice analysis.

Abstract

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.