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The ResMed ASV algorithm tracks 13 points on every breath cycle 50 times per second, the ASV Auto algorithm is designed to use each user’s unique minute ventilation target and respiratory rate to deliver therapy that stabilizes ventilation. Continuously monitoring the shape of the user’s breath informs the algorithm at what points trigger and cycle are occurring, and the length of inspiration, making therapy feel like the user’s own breath. Key elements of the algorithm include:
Recent studies have shown that patients with complex sleep apnea have achieved a significant reduction in their apnea hypopnea index (AHI) when treated with ASV. The research highlights a remarkable improvement of nearly 90% in AHI, compared to a reduction of approximately 65% achieved with CPAP treatment. These findings suggest that ASV could be a more effective treatment option for complex sleep apnea cases.
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