Lune

MobiCom2025顶会

ESPIRO: Natural Pulmonary Function Monitoring via Earphone-Acquired Speech

Yetong Cao, Dong Ma, Wentao Xie, Qian Zhang, Jun Luo

2025年份
3被引次数
2顶会引用

摘要

As a crucial tool for assessing health, spirometry provides valuable insights into pulmonary functions. Recent advancements have enabled more convenient measurements by shifting spirometry solutions from cumbersome clinical devices to portable devices. However, the forced maneuvers and burdensome procedures, which necessitate repeated maximal forced breathing, often lead to dizziness and discomfort, rendering them unsuitable for vulnerable populations. In this paper, we present ESPIRO (Earphone-enabled Speech sPIROmetry) system to furnish user-friendly pulmonary function monitoring for diverse populations. Basically, ESPIRO records normal speech using microphone-embedded earphones and characterizes pulmonary function-related glottal flow during speech production. ESPIRO advances existing spirometry solutions in i) leveraging phonetics to associate pulmonary function with glottal flow in normal speech, thereby eliminating the need for forced breathing; ii) identifying effective speech features according to physiological basis, ensuring reliable spirometry measurements; and iii) effectively addressing ambient noise, making it suitable for various real-world settings. Extensive experiments with 38 subjects on 18 commodity earphones confirm that ESPIRO accurately estimates pulmonary function indices in practice.

问问这篇 Paper

智能体会读完全文。

Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。

可以从这些问题问起

智能体调用

Luneget_paper_fulltext

在 Lune 里问

免费开始,无需绑卡

引用它的顶会 Paper2

问问它们各自怎么用它

它引用的顶会 Paper13

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖