How should Adult Facial HRV Trend Monitoring (rPPG) | 成人心率变异性（HRV）趋势监测（面部） be evaluated before use?

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Adult Facial HRV Trend Monitoring (rPPG) | 成人心率变异性（HRV）趋势监测（面部）

Using everyday cameras (laptop camera, smartphone front camera, smart mirror), the system records 30-60 seconds of facial video and uses remote photoplethysmography (rPPG) to extract subtle color variations from facial skin micro-circulation, from which it computes heart-rate-variability (HRV) metrics including SDNN (standard deviation of all normal sinus RR intervals) and RMSSD (root mean square of successive RR-interval. | 通过日常摄像头（如电脑摄像头、手机前置摄像头）拍摄面部视频（30-60秒），利用光电容积描记技术（远程光电容积描记术，rPPG）提取面部皮肤微循环的微弱色度变化，从中计算心率变异性（HRV）指标，包括SDNN（全部正常窦性心搏间期的标准差）、RMSSD（相邻心搏间期差值的均方根）等。该技能可用于压力评估、心血管健康监测及疲劳管理。

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.9k

Updated

Oct 9, 2026

Version

1.0.13

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.9K downloads reported by the source. Last updated 10/9/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 1.9K downloadsadoption · observed Oct 9, 2026
Latest release: 1.0.13release · observed Oct 1, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17f8q65zg3y98t86jdg1177g583whq8:smyx-facial-hrv-trend-monitoring-analysis

Install using `clawhub skill install s17f8q65zg3y98t86jdg1177g583whq8:smyx-facial-hrv-trend-monitoring-analysis` in an isolated environment before connecting it to live workloads.
No published capability contract is available yet, so validate auth and request/response behavior manually.
Review the upstream CLAWHUB listing at https://clawhub.ai/18072937735/smyx-facial-hrv-trend-monitoring-analysis before using production credentials.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-18072937735-smyx-facial-hrv-trend-monitoring-analysis/snapshot"

Documentation

CLAWHUB

148,239 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "smyx-facial-hrv-trend-monitoring-analysis"
description: "Using everyday cameras (laptop camera, smartphone front camera, smart mirror), the system records 30-60 seconds of facial video and uses remote photoplethysmography (rPPG) to extract subtle color variations from facial skin micro-circulation, from which it computes heart-rate-variability (HRV) metrics including SDNN (standard deviation of all normal sinus RR intervals) and RMSSD (root mean square of successive RR-interval. | 通过日常摄像头（如电脑摄像头、手机前置摄像头）拍摄面部视频（30-60秒），利用光电容积描记技术（远程光电容积描记术，rPPG）提取面部皮肤微循环的微弱色度变化，从中计算心率变异性（HRV）指标，包括SDNN（全部正常窦性心搏间期的标准差）、RMSSD（相邻心搏间期差值的均方根）等。该技能可用于压力评估、心血管健康监测及疲劳管理。"
version: "1.0.16"
license: "MIT-0"
---

# 💓 Adult Facial HRV Trend Monitoring (rPPG) | 成人心率变异性（HRV）趋势监测（面部）
> **智能分析中枢** · 图片/视频智能分析 · 结构化报告 · 历史报告云端查询

---

## 🧭 技能概览 | Overview

| 模块 | 内容 |
|---|---|
| 🏷️ 技能名称 | **成人心率变异性（HRV）趋势监测（面部）** |
| 🎯 核心目标 | 通过日常摄像头（如电脑摄像头、手机前置摄像头）拍摄面部视频（30-60秒），利用光电容积描记技术（远程光电容积描记术，rPPG）提取面部皮肤微循环的微弱色度变化，从中计算心率变异性（HRV）指标，包括SDNN（全部正常窦性心搏间期的标准差）、RMSSD（相邻心搏间期差值的均方根）等。该技能可用于压力评估、心血管健康监测及疲劳管理。 |
| 🖼️ 输入类型 | 图片、视频、本地文件、网络 URL |
| 📝 输出能力 | 结构化分析报告、识别/监测结果、建议与报告链接 |
| 🧩 场景码 | `SMYX_FACIAL_HRV_TREND_MONITORING_ANALYSIS` |

Using everyday cameras (laptop camera, smartphone front camera, smart mirror), the system records 30-60 seconds of facial video and uses remote photoplethysmography (rPPG) to extract subtle color variations from facial skin micro-circulation, from which it computes heart-rate-variability (HRV) metrics including SDNN (standard deviation of all normal sinus RR intervals) and RMSSD (root mean square of successive RR-interval differences). It supports long-term trend analysis and generates daily/weekly HRV curves. Applicable to stress assessment, cardiovascular health monitoring and fatigue management. Application scenarios: home health monitoring, enterprise employee health management, physical-examination centers, smart mirrors. Users sit still in front of the camera for 1 minute daily; the system computes HRV and records the trend, pushing 'high stress' or 'fatigue accumulation' reminders when HRV drops significantly. Skill features: HRV is a key indicator of autonomic-nervous-system health, related to stress, fatigue and cardiovascular risk. Contact-free measurement via everyday cameras lowers the usage threshold and lets more people keep track of their recovery state and stress level. Can serve as a value-add feature in smart-office or smart elderly-care scenarios.

通过日常摄像头（如电脑摄像头、手机前置摄像头）拍摄面部视频（30-60秒），利用光电容积描记技术（远程光电容积描记术，rPPG）提取面部皮肤微循环的微弱色度变化，从中计算心率变异性（HRV）指标，包括SDNN（全部正常窦性心搏间期的标准差）、RMSSD（相邻心搏间期差值的均方根）等。支持长期趋势分析，生成每日/每周HRV变化曲线。该技能可用于压力评估、心血管健康监测及疲劳管理。应用场景：居家健康监测、企业员工健康管理、体检中心、智能镜子。用户每日对着摄像头静坐1分钟，系统自动计算HRV并记录趋势，当HRV显著下降时推送'压力过大'或'疲劳累积'提醒。技能特点：HRV是衡量自主神经系统健康的重要指标，与压力、疲劳、心血管风险相关。通过日常摄像头无接触测量，可降低使用门槛，让更多人持续关注自身恢复状态和压力水平，助力健康管理。该技能可作为增值功能集成到智慧办公、健康养老等场景。

## 🤖 AI 角色 | AI Role
| 角色要点 | 说明 |
|---|---|
| 说明 1 | **假设你是一个专业的生理信号分析 AI。你的任务是分析人脸面部视频，使用远程光电容积描

_meta.json

{
  "ownerId": "kn7e2caqj7pnsvr9r7t8zenghs83xw7n",
  "slug": "smyx-facial-hrv-trend-monitoring-analysis",
  "version": "1.0.13",
  "publishedAt": 1790852844635
}

references/api_doc.md

# API 接口文档

此处用于存放成人心率变异性（HRV）趋势监测（面部）API 的接口文档，待后续补充。

## 接口规范

- 基础地址：由 smyx_common 配置统一管理
- 认证方式：API Key 鉴权
- 响应格式：JSON

## 主要接口

1. `/web/health-analysis/v2/start-health-analysis` - 启动 HRV 分析任务
2. `/web/health-analysis/v2/get-health-analysis-result` - 获取分析结果（含 SDNN/RMSSD 等指标）
3. `/web/health-analysis/page-health-analysis-result` - 分页查询历史报告
4. `/health/order/api/getReportDetailExport?id={id}` - 导出完整 HRV 趋势报告

## 场景代码

- `SMYX_FACIAL_HRV_TREND_MONITORING_ANALYSIS` - 成人心率变异性（HRV）趋势监测（面部）

## HRV 关键指标说明

- `SDNN`（ms）：全部正常窦性心搏间期（NN intervals）的标准差，反映总体 HRV
- `RMSSD`（ms）：相邻心搏间期差值的均方根，反映副交感神经活性
- `pNN50`（%）：相邻 NN 间期差值 > 50ms 的占比
- `LF/HF`：低频/高频功率比，反映自交感与副交感平衡
- `mean_HR`（bpm）：分析窗口内平均心率
- `trend`：相对历史基线的变化（rising/stable/declining）
- `stress_level`：基于 HRV 的压力水平估计（low/medium/high）

## 视频采集建议

- 时长：30 - 60 秒
- 光照：自然光或柔和稳定光源，避免强阴影
- 距离：人脸占画面 1/3 以上，正面、保持静止
- 帧率：≥ 25 fps，分辨率 ≥ 480p

skills/smyx_analysis/references/api_doc.md

# API接口文档

## 接口规范

- 基础地址：由 smyx_common 配置统一管理
- 认证方式：API Key 鉴权
- 请求格式：支持文件上传
- 响应格式：JSON

## 错误码说明

| 错误码 | 说明       |
|-----|----------|
| 400 | 请求参数错误   |
| 401 | API密钥无效  |
| 403 | 权限不足     |
| 413 | 文件过大     |
| 415 | 不支持的文件格式 |
| 500 | 服务器内部错误  |

scripts/config.yaml

{}

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