Comfortable sleep monitoring: using physiological process interconnectedness during sleep for novel software sensors.

ABSTRACT:

Introduction

Monitoring sleep-disordered breathing typically requires many sensors, including pneumoflow masks, measuring nasal and oral airflow, and esophageal pressure catheters. While these tools provide detailed information about airflow, effort, and respiratory mechanics, they can be uncomfortable, invasive, and less feasible for long-term, home-based, or large-scale sleep studies. In contrast, respiratory inductance plethysmography (RIP) belts offer a non-invasive and well-tolerated alternative.

Methods

In this study, we introduce four models that estimate key physiological signals from either RIP-belt data or pneumoflow mask data. Specifically, we present a heart rate model based on the RIP-belt signal, a nasal pneumoflow model estimating airflow from the RIP-belt sig

SUBMITTER: Bavarsad A 

PROVIDER: S-EPMC12823957 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature