Compression and Latency in Home Sleep-Sensing Pipelines

Abstract

Compression and Latency in Home Sleep-Sensing Pipelines addresses a narrow but consequential interpretive problem: efficient processing silently deleting diagnostically relevant patterns. This literature-based conceptual analysis does not report a new experiment. The focal evidence concerns whether subjective sleep gains in empty nose syndrome are sufficient to support claims about objectively improved sleep. A resource limit can change which observations are processed, which reasoning branches are explored, and which cases receive review. Resource use is therefore part of evidence production rather than a neutral implementation detail. Measure accuracy and completeness along a resource curve. Include peak load, delayed inputs, and interrupted work, and compare policies at the same total cost including recovery. The proposed comparison concerns wearable precision, signal timing, objective validation; it would test whether the specific failure scenario is detected without erasing legitimate uncertainty. Implications are restricted to the evidence roles relevant to subjective and objective sleep evidence, leaving broader efficacy and deployment claims unresolved.