# Early Detection of Acute Respiratory Failure Using an Intelligent Respiratory Monitoring System

> **NCT07164586** · — · ACTIVE_NOT_RECRUITING · sponsor: **University of Pernambuco** · enrollment: 300 (estimated)

## Conditions studied

- Patients at Risk of Acute Respiratory Failure

## Interventions

- **DIAGNOSTIC_TEST:** Respiratory Pattern Monitoring
- **DIAGNOSTIC_TEST:** Diaphragmatic Excursion
- **DIAGNOSTIC_TEST:** Respiratory muscle electrical activity
- **DIAGNOSTIC_TEST:** Respiratory Muscle Strength
- **DIAGNOSTIC_TEST:** Pulmonary Function Assessment
- **OTHER:** Data Acquisition System
- **OTHER:** Nijmegen Questionnaire
- **OTHER:** System Usability Scale (SUS)
- **OTHER:** Borg Scale
- **OTHER:** Patient Identification Questionnaire
- **DIAGNOSTIC_TEST:** Peak Expiratory Flow (PEF) Measurement

## Key facts

- **NCT ID:** NCT07164586
- **Lead sponsor:** University of Pernambuco
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** ACTIVE_NOT_RECRUITING
- **Start date:** 2025-08-18
- **Primary completion:** 2025-11-28
- **Final completion:** 2025-12-22
- **Target enrollment:** 300 (ESTIMATED)
- **Last updated:** 2025-09-10

## Collaborators

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## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07164586

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07164586, "Early Detection of Acute Respiratory Failure Using an Intelligent Respiratory Monitoring System". Retrieved via AI Analytics 2026-06-08 from https://api.ai-analytics.org/clinical/NCT07164586. Licensed CC0.

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