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Future Perspective: Data Validity-Driven Report Optimization
Abstract
This chapter first presents the description of a common approach to ECG interpretation triggering, assuming that the parameters are updated each time the input data is available. The heartbeat detector runs for each acquired sample, and all heartbeat-based diagnostic parameters (e.g., arrhythmias) are calculated immediately after a positive detection of a heartbeat. This approach keeps the diagnostic parameters up to date with the frequency of the physical variability limit of their source at the cost of unnecessary computation. Slowly changing parameters are significantly over-sampled and consecutive values show high redundancy. At the end of the chapter, we present a concept of a packet-content manager. This procedure collects all requests concerning diagnostic parameter update and computation, supervises the propagation of the validity attribute backwards through the processing chain, and provides an exceptional pathway for all abnormality alerts emerging in the processing chain. As a result, all parameters are reported as rarely as possible without breaking the Shannon rule.
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