Current clinical methods for assessing cardiac and respiratory function often require in-person visits and specialized equipment, creating barriers to access and hindering timely monitoring. This lack of readily available physiological data can lead to delayed interventions, avoidable hospital visits, and increased healthcare costs.

Vital Audio has developed a digital voice biomarker platform, SAUTI v1, that extracts key physiological parameters, including heart rate, respiratory rate, and lung capacity, from short voice clips captured during standard phone calls. By analyzing voice patterns using signal processing and machine learning, the technology transforms ordinary phone calls into a source of continuous, remote patient monitoring. This enables healthcare providers to gain clinical insights, personalize patient care, and proactively manage health conditions, all without requiring additional hardware or in-person assessments. The solution aims to improve healthcare accessibility, reduce costs associated with avoidable hospitalizations, and enhance the efficiency of care delivery across various care models.

Extracts heart rate, respiratory rate, and lung capacity from voice recordings

Employs digital signal processing and machine learning algorithms to analyze voice biomarkers

Integrates with existing phone systems, enabling data capture during routine calls

Provides a non-invasive and remote method for continuous patient monitoring

Supports personalized care through timely interventions and tailored treatments

The primary target audience includes healthcare providers, telehealth companies, and direct-to-consumer health services seeking to enhance remote patient monitoring and improve care delivery.