SPIRA: Building an Intelligent System for Respiratory Insufficiency Detection

Renato Cordeiro Ferreira; Dayanne Gomes; Vitor Tamae; Francisco Wernke; Alfredo Goldman

doi:10.5753/ise.2022.227048

SPIRA: Building an Intelligent System for Respiratory Insufficiency Detection

Renato Cordeiro Ferreira
, Dayanne Gomes
, Vitor Tamae
, Francisco Wernke
, Alfredo Goldman

Data Governance

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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.

Original language	English
Title of host publication	Anais do II Workshop Brasileiro de Engenharia de Software Inteligente (ISE 2022)
DOIs	https://doi.org/10.5753/ise.2022.227048
Publication status	Published - 4 Oct 2022

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10.5753/ise.2022.227048

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title = "SPIRA: Building an Intelligent System for Respiratory Insufficiency Detection",

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.",

author = "Ferreira, \{Renato Cordeiro\} and Dayanne Gomes and Vitor Tamae and Francisco Wernke and Alfredo Goldman",

year = "2022",

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AU - Ferreira, Renato Cordeiro

AU - Gomes, Dayanne

AU - Tamae, Vitor

AU - Wernke, Francisco

AU - Goldman, Alfredo

PY - 2022/10/4

Y1 - 2022/10/4

N2 - 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.

AB - 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.

UR - http://dx.doi.org/10.5753/ise.2022.227048

U2 - 10.5753/ise.2022.227048

DO - 10.5753/ise.2022.227048

M3 - Conference contribution

BT - Anais do II Workshop Brasileiro de Engenharia de Software Inteligente (ISE 2022)

ER -

SPIRA: Building an Intelligent System for Respiratory Insufficiency Detection

Abstract

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