用一台RGB-D相机无接触监测新生儿心率、呼吸等生命体征。
Continuous non-contact vital sign monitoring of neonates in intensive care units using RGB-D cameras
- 通过颜色、红外和深度信号融合，实现无接触测量
- 心率误差7.69bpm，血氧误差3.37%，呼吸率误差4.83次/分
- 可生成呼吸流量环图，适合早产儿呼吸疾病诊断
新生儿重症监护需持续监测生命体征。现有设备因新生儿皮肤脆弱及导线干扰医疗与亲子互动，难以长期使用。基于摄像头的生命体征监测因无需物理接触且成本低，近年备受关注。本文提出一种仅使用单台RGB-D相机的新型系统，可获取临床价值超越现有技术的数据。利用彩色与红外信号测得心率平均绝对误差（MAE）为7.69 bpm，血氧饱和度为3.37%；通过深度信号测得呼吸率误差为4.83次/分钟；潮气量测量误差达0.61 mL。还可从摄像头数据计算出流量-容积环，可用于呼吸系统疾病诊断。该系统在新生儿监测方面展现出良好潜力，有望提升临床记录水平并改善预后。
原文摘要 · Abstract (English)
Neonates in intensive care require continuous monitoring. Current measurement devices are limited for long-term use due to the fragility of newborn skin and the interference of wires with medical care and parental interactions. Camera-based vital sign monitoring has the potential to address these limitations and has become of considerable interest in recent years due to the absence of physical contact between the recording equipment and the neonates, as well as the introduction of low-cost devices. We present a novel system to capture vital signs while offering clinical insights beyond current technologies using a single RGB-D camera. Heart rate and oxygen saturation were measured using colour and infrared signals with mean average errors (MAE) of 7.69 bpm and 3.37%, respectively. Using the depth signals, an MAE of 4.83 breaths per minute was achieved for respiratory rate. Tidal volume measurements were obtained with a MAE of 0.61 mL. Flow-volume loops can also be calculated from camera data, which have applications in respiratory disease diagnosis. Our system demonstrates promising capabilities for neonatal monitoring, augmenting current clinical recording techniques to potentially improve outcomes for neonates.
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