Published research
Referenced in peer-reviewed work, including platform screenshots and methodology descriptions.
deep breath
deep breath
Deep Breath turns continuous, high-resolution vital sign data into trusted infrastructure for monitoring clinical workflows, supporting research, and validating AI in real-world critical care.
What Deep Breath does
Deep Breath is a vendor independent hardware that captures high-resolution vital-signs data from medical devices in critical care.
Deep Breath software synchronises, structures, and enriches chaotic signals into AI-ready datasets.
Real time multimodal high resolution vital signs data with AI algorithms to provide actionable insights to clinical staff.
Quality management, clinical education, AI-models monitoring, research and real-time decision support* in one platform.
Trusted in research and ICU innovation
Deep Breath is already part of real clinical research and ICU innovation projects. The platform has been referenced in peer-reviewed publications, presented by clinical partners at international conferences, and selected as a technology partner for multicentre ventilation studies.
Referenced in peer-reviewed work, including platform screenshots and methodology descriptions.
Presented by clinical partners at international critical care and ventilation meetings, including PLUG and ISICEM.
Selected as a technology partner for research on ventilation, patient–ventilator interaction, and high-resolution ICU data.
Used in hospital-based research, education, quality management, and ICU data infrastructure projects.
Product ecosystem
Research builds the evidence. Decision support brings insights to bedside. Academy helps teams understand and apply them.
Collect and analyse high-resolution ventilator waveform data for clinical research, validation studies, and AI development.
Translate breath-by-breath ventilation data into real-time insight on patient–ventilator interaction, mechanical power, and ventilation quality.
Train clinicians with realistic ventilation scenarios, patient–ventilator asynchronies, and reproducible clinical cases.
Let’s build the future of data-driven critical care together.
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