calle-ai/awesome-phone-call-agents/call-acoustic-breath-biomarker-tracker
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Offline nonclinical phone-workflow demonstration over supplied speech/pause durations. Returns illustrative pause-ratio labels, not medical findings or an actual emergency handoff.
Install
npx vskill@latest install calle-ai/awesome-phone-call-agents/call-acoustic-breath-biomarker-trackerSKILL.md
Acoustic Breath Biomarker Tracker
This experimental helper calculates a pause ratio from synthetic, pre-segmented durations. It does not capture audio, run VAD, detect a medical condition, assess patient safety, or execute a handoff. Its DYSPNEA_DETECTED, NORMAL, and action enums are illustrative legacy labels, not clinical conclusions. Do not use this prototype for patient triage or emergency decisions.
Scientific Foundation
| Paper / Framework | Source | Relevance | |
|---|---|---|---|
| Detection of Mild Dyspnea from Pairs of Speech Recordings | IEEE ICASSP (2020) | Provides the acoustic feature extraction models for identifying respiratory variations and abnormal pause mechanics. | |
| Biomarkers in respiratory diseases | Breathe editorial (2019) | General background, not validation of pause-ratio clinical inference. | |
| COVID-19-related voice disorders: a scoping review | PubMed (2026) | Background on voice disorders, not validation of this helper. | |
| Software as a Medical Device (SaMD) | FDA (2023) | Regulatory framework for AI algorithms evaluating biological states. |
How it works
- Supply synthetic
AudioSegmentdurations to the helper. - Audio capture and VAD are not included; any future host would provide its own inputs.
- The
process_call_streamfunction evaluates the extracted segments. - A pause ratio at or above the illustrative threshold selects the legacy
DYSPNEA_DETECTEDenum; it does not establish dyspnea. ESCALATE_TO_HUMANis returned as a demo label only. No workflow is halted and no nurse transfer or emergency handoff occurs.
Decision Matrix
| Pause Ratio | Classification | Recommended Action | |
|---|---|---|---|
>= 0.40 | DYSPNEA_DETECTED | ESCALATE_TO_HUMAN | |
< 0.40 | NORMAL | PROCEED_NORMALLY | |
Ratio < 0 (no data) | INSUFFICIENT_DATA | INDETERMINATE |
Configuration Reference
| Parameter | Default | Range | Description | |
|---|---|---|---|---|
pause_threshold_ratio | 0.40 | 0.30 - 0.60 | Ratio of pause time over total time to trigger dyspnea flag. | |
segment_duration_ms | 500 | 250 - 2000 | Window size for acoustic feature extraction. |
Expected Outcomes & Metrics
The figures below are unvalidated design aspirations, not clinical sensitivity, specificity, or handoff guarantees.
| Metric | Target | Notes | |
|---|---|---|---|
| Escalation Latency | < 1 second | Critical for emergency health response. | |
| False Positive Rate (FPR) | < 5% | Legitimate pauses shouldn't trigger an emergency. | |
| False Negative Rate (FNR) | < 2% | Must not miss severe respiratory distress. |
Limitations & Known Constraints
- Codec Degradation: Low-bitrate connections may obscure acoustic pauses or falsely introduce silence gaps (packet loss).
- Background Noise: Heavy environmental noise might be misclassified as speech by VAD, lowering the calculated pause ratio.
- Not a Clinical Tool: This is not a diagnostic or patient-triage mechanism. Low scores do not establish that a person is safe.
Possible Future Research Contexts
These contexts require separate clinical evaluation and human-governed systems; they are not supported patient-care uses of this prototype.
- Post-discharge monitoring for COPD or heart failure patients.
- Daily check-in phone calls for patients with severe asthma.
- Triage in automated telehealth intake systems.
Integration
No dialogue-model or telephony integration is included. For a future host, this numeric demonstration must not delay human review or override an explicit report of distress.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/call-acoustic-breath-biomarker-tracker/SKILL.md
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