Enhancing PPG-Based Studies with Hardware-Free Acoustic Flow

Traditional polysomnography (PSG) is costly, complex, and requires an overnight stay, leaving many patients undiagnosed. While Home Sleep Testing (HST) increases access, these devices often lack a valid respiratory signal, limiting scoring confidence and forcing clinicians to infer respiratory events from secondary signals like PPG, SpO2 and heart rate.

EnsoData is solving this accessibility gap with a completely hardware-free flow recording modality that uses the built-in microphone of a smartphone to capture breathing sounds.

Matt Sprague, Staff Machine Learning Engineer, explores the clinical validation of this acoustic monitoring technology. 

Kimi Clark, RPSGT, RST, CCSH, FAAST, Senior Clinical Solutions Specialist, demonstrates how to review PPG-based studies, showing how the hardware-free acoustic flow signal complements existing PPG scoring to support more confident over-scoring.

Learning Objectives:

• Acoustic Monitoring Science: Learn how airway dynamics during sleep create acoustic signatures that can be extracted into an accurate, hardware-free flow signal.
• Clinical Validation & Accuracy: Review results from 62 simultaneously recorded studies demonstrating high clinician agreement with PSG nasal pressure across AHI, ORI, and CRI metrics.
• Reviewing PPG-Based Studies: Learn best practices for integrating smartphone audio with a PPG device to create a comprehensive, multi-channel view that improves explainability.
• Patient & Provider Benefits: Discover how replacing complex medical equipment with a simple device and an intuitive, self-managed smartphone application significantly reduces staff burden and provides a stress-free patient experience.

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