stress si: segment at gaps like cvhr does

[abdulsaheel]

baevsky stress index had no gap-awareness - it just slides a 256-beat window over the raw nn array. a straddling window across a charging/off-wrist hole picks up the pre/post-gap RR jump as MxDMn, same failure mode cvhr_apnea.dart already fixed (its header even documents the 80.0/h -> 53.3/h bug this caused there).

adds optional nnTimesMs + maxGapSec (default 30s, same as cvhr) to baevskyStressIndex, segments at gaps before sliding the window, concatenates per-segment window stats before the median. no-times callers are byte-identical (single implicit segment).

test added mirroring cvhr's own gap regression test.

Summary by Sourcery

Segment Baevsky stress-index calculations at recording gaps before computing sliding-window statistics.

New Features:

• Add optional beat-time inputs and configurable gap thresholds to make Baevsky stress index calculations gap-aware.

Bug Fixes:

• Prevent sliding windows from crossing charging or off-wrist gaps and treating cross-gap RR discontinuities as within-segment variability.

Tests:

• Add a regression test covering segmentation across a large gap and preserving the existing untimed behavior.

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📥 Commits

Reviewing files that changed from the base of the PR and between 9db819b and 47847fa.

📒 Files selected for processing (2)

• lib/src/onehz/clinical/stress_si.dart
• test/onehz/clinical_test.dart

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[sourcery-ai]

Reviewer's Guide

Makes Baevsky stress index gap-aware by segmenting timestamped RR data before applying 256-beat sliding windows, preventing cross-gap RR jumps from inflating MxDMn while preserving untimed behavior; adds a regression test covering the charging-hole case.

Sequence diagram for gap-safe stress index calculation

sequenceDiagram
    participant Caller
    participant baevskyStressIndex
    participant Segmentation
    participant Windowing
    participant SI as _siOfSegment

    Caller->>baevskyStressIndex: baevskyStressIndex(nnMs, nnTimesMs, maxGapSec)
    baevskyStressIndex->>baevskyStressIndex: Filter RR intervals
    alt Valid nnTimesMs supplied
        baevskyStressIndex->>Segmentation: Detect timestamp gaps over maxGapSec
        Segmentation-->>baevskyStressIndex: Per-segment RR ranges
    else No valid timestamps
        baevskyStressIndex->>Segmentation: Use one implicit segment
    end
    loop Each segment and sliding window
        baevskyStressIndex->>Windowing: Create 256-beat window
        Windowing->>SI: _siOfSegment(segWin, minRangeMs)
        SI-->>Windowing: Window stress statistics
        Windowing-->>baevskyStressIndex: Collect statistics
    end
    baevskyStressIndex-->>Caller: Median StressIndex or absent metric

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Flow diagram for gap-aware Baevsky stress index

flowchart TD
    A[RR intervals and optional timestamps] --> B[Filter RR intervals to 300-2000 ms]
    B --> C{Valid timestamps with gap over maxGapSec?}
    C -- No --> D[Use one implicit segment]
    C -- Yes --> E[Split into segments at gaps]
    D --> F[Apply 256-beat sliding windows]
    E --> F
    F --> G[Compute _siOfSegment for each window]
    G --> H[Aggregate window statistics and median]
    H --> I[Return StressIndex or absent metric]

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File-Level Changes

Change	Details	Files
Add optional timestamp-based gap segmentation before Baevsky SI windowing.	Add nnTimesMs and configurable maxGapSec inputs, defaulting to 30 seconds. Filter RR values while preserving corresponding timestamps, then split the data at detected gaps. Compute window statistics independently per segment and combine them before taking the median. Retain the existing single-segment behavior when timestamps are absent or length-mismatched.	lib/src/onehz/clinical/stress_si.dart
Add regression coverage for charging/off-wrist gaps between RR segments.	Build two stationary RR segments at different baselines with a two-minute timestamp gap. Verify gap-aware SI remains within the range of the independently computed segment SIs. Verify the legacy untimed path remains present and differs on the straddling-window fixture.	test/onehz/clinical_test.dart

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