Maneuver Dependency
Suboptimal effort in traditional spirometry leads to inconsistent data and excluded trials. FOT removes the need for forced exhalation, ensuring 100% effort-independent compliance.
Overcoming Traditional Research Barriers
Clinical research in respiratory health is often hindered by the limitations of effort-dependent maneuvers. AlveoFlow FOT standardizes data collection across diverse populations.
Pediatric Variability
Variability in young subjects makes longitudinal studies difficult. Our quiet-breathing protocol provides repeatable metrics that Spirometry often fails to capture in pediatric cohorts.
Elderly & Frail Compliance
Frail patients often find forced exhalation exhausting or complex. AlveoFlow allow researchers to maintain high data integrity with a non-invasive, minimal-effort protocol.
ALVEOFLOW FOT FOR CLINICAL RESEARCH • HIGH-PRECISION RESPIRATORY MECHANICS • NON-INVASIVE PROTOCOL • AUDIT-READY ANALYTICS • DATA QUALITY & REPEATABILITY •
The Quiet-Breathing Protocol
Research-Grade Data Analytics
AlveoFlow FOT measures respiratory mechanics during normal tidal breathing, removing the effort-dependent variability of forced maneuvers. This protocol provides high-fidelity resistance (Rrs) and reactance (Xrs) validation across pediatric, elderly, and severely obstructed populations, where spirometry often lacks consistent clinical evidence.
Standardize your clinical research with our cloud-integrated analytics engine. AlveoFlow is designed for multi-center academic and pharmaceutical studies, offering longitudinal monitoring, automated validation reports, and high-fidelity artifacts detection to streamline the gathering of robust clinical evidence for regulatory submissions.
Engineered for Clinical Excellence & Research Precision
AlveoFlow FOT technology removes the variables of patient effort and technician variability, delivering high-fidelity respiratory data across diverse study populations.
Research Intelligence & Advanced Data Analytics
High-Fidelity Data Export (CSV/EDC)
Seamlessly integrate research findings into clinical study workflows. Export raw Rrs and Xrs values directly into standardized CSV and electronic data capture (EDC) systems for large-scale multi-site analysis.
AI-Driven Oscillometry Interpretation
Leverage AlveoFlow's proprietary algorithms to automatically surface respiratory phenotypes and small-airway resistance patterns. AI interpretation reduces variance and accelerates subject categorization in phase studies.
Longitudinal Trend Analysis
Standardize repeatability metrics across longitudinal studies. Our analytical dashboards track subject progress over time, ensuring high data integrity for long-term respiratory clinics and academic trials.