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28.829, "sensitivity_median_ms": 28.829, "median_shift_ms": 0.0 }, { "age_band": "70–92", "sex": "female", "metric": "RMSSD", "n_primary": 27, "n_sensitivity": 27, "primary_median_ms": 23.924, "sensitivity_median_ms": 22.116, "median_shift_ms": -1.808 } ] }, "lead_i_sensitivity": { "selection_rule": "use ECG1/lead I for all device-0 records; device-1 records remain ECG/lead II because only one ECG signal is available", "alternate_channels_selected_among_multi": 621, "qc_pass_records": 1088, "primary_eligible_records": 1055, "sensitivity_eligible_records": 1064, "eligible_record_change": 9, "maximum_absolute_age_sex_median_shift_ms": 3.795, "maximum_shift_cell": { "age_band": "40–49", "sex": "female", "metric": "RMSSD", "median_shift_ms": -3.795 }, "published_cell_median_shifts": [ { "age_band": "18–29", "sex": "male", "metric": "SDNN", "n_primary": 222, "n_sensitivity": 225, "primary_median_ms": 59.396, "sensitivity_median_ms": 59.45, "median_shift_ms": 0.054 }, { "age_band": "18–29", 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"n_sensitivity": 67, "primary_median_ms": 51.769, "sensitivity_median_ms": 52.04, "median_shift_ms": 0.271 }, { "age_band": "30–39", "sex": "female", "metric": "RMSSD", "n_primary": 65, "n_sensitivity": 67, "primary_median_ms": 42.419, "sensitivity_median_ms": 42.869, "median_shift_ms": 0.45 }, { "age_band": "40–49", "sex": "male", "metric": "SDNN", "n_primary": 49, "n_sensitivity": 50, "primary_median_ms": 35.146, "sensitivity_median_ms": 38.432, "median_shift_ms": 3.285 }, { "age_band": "40–49", "sex": "male", "metric": "RMSSD", "n_primary": 49, "n_sensitivity": 50, "primary_median_ms": 24.529, "sensitivity_median_ms": 26.311, "median_shift_ms": 1.781 }, { "age_band": "40–49", "sex": "female", "metric": "SDNN", "n_primary": 45, "n_sensitivity": 44, "primary_median_ms": 39.991, "sensitivity_median_ms": 40.406, "median_shift_ms": 0.415 }, { "age_band": "40–49", "sex": "female", "metric": "RMSSD", "n_primary": 45, "n_sensitivity": 44, "primary_median_ms": 34.832, "sensitivity_median_ms": 31.037, "median_shift_ms": -3.795 }, { "age_band": "50–59", "sex": "male", "metric": "SDNN", "n_primary": 36, "n_sensitivity": 36, "primary_median_ms": 34.453, "sensitivity_median_ms": 34.472, "median_shift_ms": 0.019 }, { "age_band": "50–59", "sex": "male", "metric": "RMSSD", "n_primary": 36, "n_sensitivity": 36, "primary_median_ms": 21.237, "sensitivity_median_ms": 22.166, "median_shift_ms": 0.928 }, { "age_band": "50–59", "sex": "female", "metric": "SDNN", "n_primary": 30, "n_sensitivity": 30, "primary_median_ms": 37.056, "sensitivity_median_ms": 37.021, "median_shift_ms": -0.035 }, { "age_band": "50–59", "sex": "female", "metric": "RMSSD", "n_primary": 30, "n_sensitivity": 30, "primary_median_ms": 21.725, "sensitivity_median_ms": 22.019, "median_shift_ms": 0.294 }, { "age_band": "60–69", "sex": "male", "metric": "SDNN", "n_primary": 17, "n_sensitivity": 17, "primary_median_ms": 29.636, "sensitivity_median_ms": 29.636, "median_shift_ms": 0.0 }, { "age_band": "60–69", "sex": "male", "metric": "RMSSD", "n_primary": 17, "n_sensitivity": 17, "primary_median_ms": 18.95, "sensitivity_median_ms": 18.333, "median_shift_ms": -0.618 }, { "age_band": "60–69", "sex": "female", "metric": "SDNN", "n_primary": 24, "n_sensitivity": 24, "primary_median_ms": 31.566, "sensitivity_median_ms": 31.566, "median_shift_ms": 0.0 }, { "age_band": "60–69", "sex": "female", "metric": "RMSSD", "n_primary": 24, "n_sensitivity": 24, "primary_median_ms": 21.228, "sensitivity_median_ms": 21.228, "median_shift_ms": 0.0 }, { "age_band": "70–92", "sex": "female", "metric": "SDNN", "n_primary": 27, "n_sensitivity": 27, "primary_median_ms": 28.829, "sensitivity_median_ms": 28.978, "median_shift_ms": 0.149 }, { "age_band": "70–92", "sex": "female", "metric": "RMSSD", "n_primary": 27, "n_sensitivity": 27, "primary_median_ms": 23.924, "sensitivity_median_ms": 22.693, "median_shift_ms": -1.231 } ] }, "interpretation": "Aggregate medians are robust to channel policy, but individual-channel differences can be large. Automated channel preference is a sensitivity analysis, not independently validated ground truth." }, "detector_and_lead_audit": { "primary_channel": "lead II fixed before signal inspection: ECG2 for Task Force Monitor records and ECG for MP150/CNAP records", "primary_detector": "NeuroKit morphology-aware detector on NeuroKit-cleaned ECG", "count_disagreement_threshold": "exclude a primary-QC-pass record when beat counts differ by more than 10% of the larger count, or when a comparison count is unavailable", "secondary_detector_used_for_qc": { "method": "Elgendi 2010 via NeuroKit", "paired_records": 1121, "records_with_computable_counts": 1112, "relative_difference_quantiles": { "median": 0.0025, "p90": 0.0126, "p95": 0.0592, "p99": 0.4603, "maximum": 0.9268 }, "missing_or_over_10_percent": 59, "aggregate_metric_sensitivity": { "primary_eligible_records": 1055, "sensitivity_eligible_records": 1058, "eligible_record_change": 3, "maximum_absolute_age_sex_median_shift_ms": 10.652, "maximum_shift_cell": { "age_band": "60–69", "sex": "male", "metric": "SDNN", "median_shift_ms": 10.652 }, "published_cell_median_shifts": [ { "age_band": "18–29", "sex": "male", "metric": "SDNN", "n_primary": 222, "n_sensitivity": 219, "primary_median_ms": 59.396, "sensitivity_median_ms": 61.766, "median_shift_ms": 2.37 }, { "age_band": "18–29", "sex": "male", "metric": "RMSSD", "n_primary": 222, "n_sensitivity": 219, "primary_median_ms": 46.466, "sensitivity_median_ms": 49.897, "median_shift_ms": 3.431 }, { "age_band": "18–29", "sex": "female", "metric": "SDNN", "n_primary": 458, "n_sensitivity": 460, "primary_median_ms": 54.725, "sensitivity_median_ms": 58.054, "median_shift_ms": 3.329 }, { "age_band": "18–29", "sex": "female", "metric": "RMSSD", "n_primary": 458, "n_sensitivity": 460, "primary_median_ms": 49.078, "sensitivity_median_ms": 53.938, "median_shift_ms": 4.859 }, { "age_band": "30–39", "sex": "male", "metric": "SDNN", "n_primary": 75, "n_sensitivity": 72, "primary_median_ms": 51.028, "sensitivity_median_ms": 53.896, "median_shift_ms": 2.868 }, { "age_band": "30–39", "sex": "male", "metric": "RMSSD", "n_primary": 75, "n_sensitivity": 72, "primary_median_ms": 33.797, "sensitivity_median_ms": 39.422, "median_shift_ms": 5.625 }, { "age_band": "30–39", "sex": "female", "metric": "SDNN", "n_primary": 65, "n_sensitivity": 68, "primary_median_ms": 51.769, "sensitivity_median_ms": 58.126, "median_shift_ms": 6.357 }, { "age_band": "30–39", "sex": "female", "metric": "RMSSD", "n_primary": 65, "n_sensitivity": 68, "primary_median_ms": 42.419, "sensitivity_median_ms": 52.8, "median_shift_ms": 10.381 }, { "age_band": "40–49", "sex": "male", "metric": "SDNN", "n_primary": 49, "n_sensitivity": 50, "primary_median_ms": 35.146, "sensitivity_median_ms": 43.987, "median_shift_ms": 8.841 }, { "age_band": "40–49", "sex": "male", "metric": "RMSSD", "n_primary": 49, "n_sensitivity": 50, "primary_median_ms": 24.529, "sensitivity_median_ms": 30.197, "median_shift_ms": 5.667 }, { "age_band": "40–49", "sex": "female", "metric": "SDNN", "n_primary": 45, "n_sensitivity": 47, "primary_median_ms": 39.991, "sensitivity_median_ms": 42.224, "median_shift_ms": 2.234 }, { "age_band": "40–49", "sex": "female", "metric": "RMSSD", "n_primary": 45, "n_sensitivity": 47, "primary_median_ms": 34.832, "sensitivity_median_ms": 37.645, "median_shift_ms": 2.813 }, { "age_band": "50–59", "sex": "male", "metric": "SDNN", "n_primary": 36, "n_sensitivity": 37, "primary_median_ms": 34.453, "sensitivity_median_ms": 38.361, "median_shift_ms": 3.908 }, { "age_band": "50–59", "sex": "male", "metric": "RMSSD", "n_primary": 36, "n_sensitivity": 37, "primary_median_ms": 21.237, "sensitivity_median_ms": 27.46, "median_shift_ms": 6.223 }, { "age_band": "50–59", "sex": "female", "metric": "SDNN", "n_primary": 30, "n_sensitivity": 29, "primary_median_ms": 37.056, "sensitivity_median_ms": 38.656, "median_shift_ms": 1.599 }, { "age_band": "50–59", "sex": "female", "metric": "RMSSD", "n_primary": 30, "n_sensitivity": 29, "primary_median_ms": 21.725, "sensitivity_median_ms": 29.199, "median_shift_ms": 7.475 }, { "age_band": "60–69", "sex": "male", "metric": "SDNN", "n_primary": 17, "n_sensitivity": 17, "primary_median_ms": 29.636, "sensitivity_median_ms": 40.289, "median_shift_ms": 10.652 }, { "age_band": "60–69", "sex": "male", "metric": "RMSSD", "n_primary": 17, "n_sensitivity": 17, "primary_median_ms": 18.95, "sensitivity_median_ms": 27.056, "median_shift_ms": 8.105 }, { "age_band": "60–69", "sex": "female", "metric": "SDNN", "n_primary": 24, "n_sensitivity": 25, "primary_median_ms": 31.566, "sensitivity_median_ms": 40.968, "median_shift_ms": 9.401 }, { "age_band": "60–69", "sex": "female", "metric": "RMSSD", "n_primary": 24, "n_sensitivity": 25, "primary_median_ms": 21.228, "sensitivity_median_ms": 31.433, "median_shift_ms": 10.205 }, { "age_band": "70–92", "sex": "female", "metric": "SDNN", "n_primary": 27, "n_sensitivity": 27, "primary_median_ms": 28.829, "sensitivity_median_ms": 34.814, "median_shift_ms": 5.985 }, { "age_band": "70–92", "sex": "female", "metric": "RMSSD", "n_primary": 27, "n_sensitivity": 27, "primary_median_ms": 23.924, "sensitivity_median_ms": 33.975, "median_shift_ms": 10.051 } ] } }, "two_lead_count_audit": { "method": "same NeuroKit detector on ECG2/lead II versus ECG1/lead I for the Task Force Monitor subset", "paired_records": 621, "records_with_computable_counts": 610, "relative_difference_quantiles": { "median": 0.0, "p90": 0.0072, "p95": 0.05, "p99": 0.4714, "maximum": 0.5 }, "missing_or_over_10_percent": 38 }, "pantompkins_sensitivity_not_used_for_qc": { "method": "Pan-Tompkins 1985 via NeuroKit on fixed lead II", "paired_records": 1121, "records_with_computable_counts": 1112, "relative_difference_quantiles": { "median": 0.003, "p90": 0.3788, "p95": 0.4993, "p99": 0.5298, "maximum": 0.9407 }, "missing_or_over_10_percent": 178, "aggregate_metric_sensitivity": { "primary_eligible_records": 1055, "sensitivity_eligible_records": 1035, "eligible_record_change": -20, "maximum_absolute_age_sex_median_shift_ms": 47.468, "maximum_shift_cell": { "age_band": "60–69", "sex": "male", "metric": "RMSSD", "median_shift_ms": 47.468 }, "published_cell_median_shifts": [ { "age_band": "18–29", "sex": "male", "metric": "SDNN", "n_primary": 222, "n_sensitivity": 220, "primary_median_ms": 59.396, "sensitivity_median_ms": 76.382, "median_shift_ms": 16.986 }, { "age_band": "18–29", "sex": "male", "metric": "RMSSD", "n_primary": 222, "n_sensitivity": 220, "primary_median_ms": 46.466, "sensitivity_median_ms": 82.161, "median_shift_ms": 35.694 }, { "age_band": "18–29", "sex": "female", "metric": "SDNN", "n_primary": 458, "n_sensitivity": 447, "primary_median_ms": 54.725, "sensitivity_median_ms": 68.9, "median_shift_ms": 14.175 }, { "age_band": "18–29", "sex": "female", "metric": "RMSSD", "n_primary": 458, "n_sensitivity": 447, "primary_median_ms": 49.078, "sensitivity_median_ms": 74.728, "median_shift_ms": 25.65 }, { "age_band": "30–39", "sex": "male", "metric": "SDNN", "n_primary": 75, "n_sensitivity": 71, "primary_median_ms": 51.028, "sensitivity_median_ms": 66.079, "median_shift_ms": 15.051 }, { "age_band": "30–39", "sex": "male", "metric": "RMSSD", "n_primary": 75, "n_sensitivity": 71, "primary_median_ms": 33.797, "sensitivity_median_ms": 68.154, "median_shift_ms": 34.357 }, { "age_band": "30–39", "sex": "female", "metric": "SDNN", "n_primary": 65, "n_sensitivity": 65, "primary_median_ms": 51.769, "sensitivity_median_ms": 69.328, "median_shift_ms": 17.559 }, { "age_band": "30–39", "sex": "female", "metric": "RMSSD", "n_primary": 65, "n_sensitivity": 65, "primary_median_ms": 42.419, "sensitivity_median_ms": 73.202, "median_shift_ms": 30.783 }, { "age_band": "40–49", "sex": "male", "metric": "SDNN", "n_primary": 49, "n_sensitivity": 49, "primary_median_ms": 35.146, "sensitivity_median_ms": 57.683, "median_shift_ms": 22.537 }, { "age_band": "40–49", "sex": "male", "metric": "RMSSD", "n_primary": 49, "n_sensitivity": 49, "primary_median_ms": 24.529, "sensitivity_median_ms": 57.69, "median_shift_ms": 33.16 }, { "age_band": "40–49", "sex": "female", "metric": "SDNN", "n_primary": 45, "n_sensitivity": 43, "primary_median_ms": 39.991, "sensitivity_median_ms": 58.662, "median_shift_ms": 18.672 }, { "age_band": "40–49", "sex": "female", "metric": "RMSSD", "n_primary": 45, "n_sensitivity": 43, "primary_median_ms": 34.832, "sensitivity_median_ms": 60.019, "median_shift_ms": 25.187 }, { "age_band": "50–59", "sex": "male", "metric": "SDNN", "n_primary": 36, "n_sensitivity": 37, "primary_median_ms": 34.453, "sensitivity_median_ms": 51.729, "median_shift_ms": 17.276 }, { "age_band": "50–59", "sex": "male", "metric": "RMSSD", "n_primary": 36, "n_sensitivity": 37, "primary_median_ms": 21.237, "sensitivity_median_ms": 49.603, "median_shift_ms": 28.366 }, { "age_band": "50–59", "sex": "female", "metric": "SDNN", "n_primary": 30, "n_sensitivity": 28, "primary_median_ms": 37.056, "sensitivity_median_ms": 49.685, "median_shift_ms": 12.629 }, { "age_band": "50–59", "sex": "female", "metric": "RMSSD", "n_primary": 30, "n_sensitivity": 28, "primary_median_ms": 21.725, "sensitivity_median_ms": 56.474, "median_shift_ms": 34.749 }, { "age_band": "60–69", "sex": "male", "metric": "SDNN", "n_primary": 17, "n_sensitivity": 17, "primary_median_ms": 29.636, "sensitivity_median_ms": 58.743, "median_shift_ms": 29.106 }, { "age_band": "60–69", "sex": "male", "metric": "RMSSD", "n_primary": 17, "n_sensitivity": 17, "primary_median_ms": 18.95, "sensitivity_median_ms": 66.418, "median_shift_ms": 47.468 }, { "age_band": "60–69", "sex": "female", "metric": "SDNN", "n_primary": 24, "n_sensitivity": 25, "primary_median_ms": 31.566, "sensitivity_median_ms": 55.161, "median_shift_ms": 23.594 }, { "age_band": "60–69", "sex": "female", "metric": "RMSSD", "n_primary": 24, "n_sensitivity": 25, "primary_median_ms": 21.228, "sensitivity_median_ms": 63.511, "median_shift_ms": 42.283 }, { "age_band": "70–92", "sex": "female", "metric": "SDNN", "n_primary": 27, "n_sensitivity": 27, "primary_median_ms": 28.829, "sensitivity_median_ms": 58.038, "median_shift_ms": 29.208 }, { "age_band": "70–92", "sex": "female", "metric": "RMSSD", "n_primary": 27, "n_sensitivity": 27, "primary_median_ms": 23.924, "sensitivity_median_ms": 67.264, "median_shift_ms": 43.34 } ] }, "reason_not_adopted": "This implementation frequently double-detected T waves and its non-apex timestamps inflated short-term HRV. It is reported as a sensitivity comparator rather than selected after seeing HRV values." }, "concordance_qc_effect": { "new_exclusions_among_primary_qc_pass": 35, "primary_eligible_records": 1055, "sensitivity_eligible_records": 1021, "eligible_record_change": -34, "maximum_absolute_age_sex_median_shift_ms": 3.857, "maximum_shift_cell": { "age_band": "40–49", "sex": "female", "metric": "RMSSD", "median_shift_ms": -3.857 }, "published_cell_median_shifts": [ { "age_band": "18–29", "sex": "male", "metric": "SDNN", "n_primary": 222, "n_sensitivity": 215, "primary_median_ms": 59.396, "sensitivity_median_ms": 59.285, "median_shift_ms": -0.111 }, { "age_band": "18–29", "sex": "male", "metric": "RMSSD", "n_primary": 222, "n_sensitivity": 215, "primary_median_ms": 46.466, "sensitivity_median_ms": 45.56, "median_shift_ms": -0.906 }, { "age_band": "18–29", "sex": "female", "metric": "SDNN", "n_primary": 458, "n_sensitivity": 442, "primary_median_ms": 54.725, "sensitivity_median_ms": 54.307, "median_shift_ms": -0.418 }, { "age_band": "18–29", "sex": "female", "metric": "RMSSD", "n_primary": 458, "n_sensitivity": 442, "primary_median_ms": 49.078, "sensitivity_median_ms": 47.875, "median_shift_ms": -1.203 }, { "age_band": "30–39", "sex": "male", "metric": "SDNN", "n_primary": 75, "n_sensitivity": 71, "primary_median_ms": 51.028, "sensitivity_median_ms": 50.765, "median_shift_ms": -0.263 }, { "age_band": "30–39", "sex": "male", "metric": "RMSSD", "n_primary": 75, "n_sensitivity": 71, "primary_median_ms": 33.797, "sensitivity_median_ms": 33.726, "median_shift_ms": -0.071 }, { "age_band": "30–39", "sex": "female", "metric": "SDNN", "n_primary": 65, "n_sensitivity": 64, "primary_median_ms": 51.769, "sensitivity_median_ms": 51.62, "median_shift_ms": -0.149 }, { "age_band": "30–39", "sex": "female", "metric": "RMSSD", "n_primary": 65, "n_sensitivity": 64, "primary_median_ms": 42.419, "sensitivity_median_ms": 41.894, "median_shift_ms": -0.525 }, { "age_band": "40–49", "sex": "male", "metric": "SDNN", "n_primary": 49, "n_sensitivity": 48, "primary_median_ms": 35.146, "sensitivity_median_ms": 35.721, "median_shift_ms": 0.575 }, { "age_band": "40–49", "sex": "male", "metric": "RMSSD", "n_primary": 49, "n_sensitivity": 48, "primary_median_ms": 24.529, "sensitivity_median_ms": 25.322, "median_shift_ms": 0.793 }, { "age_band": "40–49", "sex": "female", "metric": "SDNN", "n_primary": 45, "n_sensitivity": 41, "primary_median_ms": 39.991, "sensitivity_median_ms": 39.648, "median_shift_ms": -0.342 }, { "age_band": "40–49", "sex": "female", "metric": "RMSSD", "n_primary": 45, "n_sensitivity": 41, "primary_median_ms": 34.832, "sensitivity_median_ms": 30.975, "median_shift_ms": -3.857 }, { "age_band": "50–59", "sex": "male", "metric": "SDNN", "n_primary": 36, "n_sensitivity": 36, "primary_median_ms": 34.453, "sensitivity_median_ms": 34.453, "median_shift_ms": 0.0 }, { "age_band": "50–59", "sex": "male", "metric": "RMSSD", "n_primary": 36, "n_sensitivity": 36, "primary_median_ms": 21.237, "sensitivity_median_ms": 21.237, "median_shift_ms": 0.0 }, { "age_band": "50–59", "sex": "female", "metric": "SDNN", "n_primary": 30, "n_sensitivity": 29, "primary_median_ms": 37.056, "sensitivity_median_ms": 35.954, "median_shift_ms": -1.103 }, { "age_band": "50–59", "sex": "female", "metric": "RMSSD", "n_primary": 30, "n_sensitivity": 29, "primary_median_ms": 21.725, "sensitivity_median_ms": 20.652, "median_shift_ms": -1.073 }, { "age_band": "60–69", "sex": "male", "metric": "SDNN", "n_primary": 17, "n_sensitivity": 17, "primary_median_ms": 29.636, "sensitivity_median_ms": 29.636, "median_shift_ms": 0.0 }, { "age_band": "60–69", "sex": "male", "metric": "RMSSD", "n_primary": 17, "n_sensitivity": 17, "primary_median_ms": 18.95, "sensitivity_median_ms": 18.95, "median_shift_ms": 0.0 }, { "age_band": "60–69", "sex": "female", "metric": "SDNN", "n_primary": 24, "n_sensitivity": 24, "primary_median_ms": 31.566, "sensitivity_median_ms": 31.566, "median_shift_ms": 0.0 }, { "age_band": "60–69", "sex": "female", "metric": "RMSSD", "n_primary": 24, "n_sensitivity": 24, "primary_median_ms": 21.228, "sensitivity_median_ms": 21.228, "median_shift_ms": 0.0 }, { "age_band": "70–92", "sex": "female", "metric": "SDNN", "n_primary": 27, "n_sensitivity": 27, "primary_median_ms": 28.829, "sensitivity_median_ms": 28.829, "median_shift_ms": 0.0 }, { "age_band": "70–92", "sex": "female", "metric": "RMSSD", "n_primary": 27, "n_sensitivity": 27, "primary_median_ms": 23.924, "sensitivity_median_ms": 23.924, "median_shift_ms": 0.0 } ] } }, "sex_metadata": { "source_field": "Sex", "encoding": { "0": "male", "1": "female" }, "semantics": "Binary male/female sex metadata supplied by the source dataset; it is not a measure of gender identity." }, "analysis_window": "first 300 seconds of resting ECG", "r_peak_pipeline": "Fixed lead II + NeuroKit ECG cleaning and morphology-aware peak detection + Lipponen-Tarvainen/Kubios correction at native sampling rate; exclude >10% beat-count disagreement with Elgendi2010 and, where available, the simultaneously recorded lead I", "methodological_distinction": "This is an independent automated reanalysis of the first five minutes, not a reproduction of the source paper or Calderon-Juarez et al. 2023, which used a visually supervised final five-minute segment.", "published_outputs": [ "autonomic-aging-age-sex-hrv.csv", "autonomic-aging-hrv-by-age-sex.svg", "autonomic-aging-hrv-by-age-sex.png", "build_autonomic_aging_reference.py" ], "privacy": "Only aggregate statistics are public; subject-level features are not published.", "measurement_warning": "These five-minute clinical ECG distributions are not interchangeable with intermittent Apple Watch HealthKit SDNN samples.", "published_output_sha256": { "autonomic-aging-age-sex-hrv.csv": "d89632ae28f52ac1e797ad72428211a60b9294074b8c298510a4e68e419ec607", "autonomic-aging-hrv-by-age-sex.svg": "56327958b721c6f9df0a81896ab6d8364f8c02220027e5031db187ab68d82ada", "autonomic-aging-hrv-by-age-sex.png": "38209ea6f31d540e22c5af573f8f1740c075f0faeb6d2e640e25e82d6e4b3466", "build_autonomic_aging_reference.py": "23e890654bc4131467c508e63e1a462fe000345f082389598401292b13c9b6d2" } }