Addison Paul S, Jacquel Dominique, Foo David M H, Borg Ulf R
Medtronic, Video Biosignals Group, Patient Monitoring, Technopole Centre, Edinburgh, EH26 0PJ, UK.
Medtronic, Medical Affairs, Patient Monitoring, Boulder, CO, USA.
J Clin Monit Comput. 2018 Oct;32(5):871-880. doi: 10.1007/s10877-017-0076-1. Epub 2017 Nov 9.
The robust monitoring of heart rate from the video-photoplethysmogram (video-PPG) during challenging conditions requires new analysis techniques. The work reported here extends current research in this area by applying a motion tolerant algorithm to extract high quality video-PPGs from a cohort of subjects undergoing marked heart rate changes during a hypoxic challenge, and exhibiting a full range of skin pigmentation types. High uptimes in reported video-based heart rate (HR) were targeted, while retaining high accuracy in the results. Ten healthy volunteers were studied during a double desaturation hypoxic challenge. Video-PPGs were generated from the acquired video image stream and processed to generate heart rate. HR was compared to the pulse rate posted by a reference pulse oximeter device (HR). Agreement between video-based heart rate and that provided by the pulse oximeter was as follows: Bias = - 0.21 bpm, RMSD = 2.15 bpm, least squares fit gradient = 1.00 (Pearson R = 0.99, p < 0.0001), with a 98.78% reporting uptime. The difference between the HR and HR exceeded 5 and 10 bpm, for 3.59 and 0.35% of the reporting time respectively, and at no point did these differences exceed 25 bpm. Excellent agreement was found between the HR and HR in a study covering the whole range of skin pigmentation types (Fitzpatrick scales I-VI), using standard room lighting and with moderate subject motion. Although promising, further work should include a larger cohort with multiple subjects per Fitzpatrick class combined with a more rigorous motion and lighting protocol.
在具有挑战性的条件下，通过视频光电容积脉搏波图（video-PPG）对心率进行稳健监测需要新的分析技术。本文报道的工作通过应用一种运动容忍算法扩展了该领域的当前研究，该算法可从一组在低氧挑战期间经历显著心率变化且具有各种皮肤色素沉着类型的受试者中提取高质量的video-PPG。目标是实现基于视频的心率（HR）的高正常运行时间，同时保持结果的高精度。在双重去饱和低氧挑战期间对10名健康志愿者进行了研究。从采集的视频图像流中生成video-PPG并进行处理以生成心率。将HR与参考脉搏血氧仪设备记录的脉搏率（HR）进行比较。基于视频的心率与脉搏血氧仪提供的心率之间的一致性如下：偏差=-0.21次/分钟，均方根偏差（RMSD）=2.15次/分钟，最小二乘拟合梯度=1.00（皮尔逊相关系数R=0.99，p<0.0001），报告正常运行时间为98.78%。在报告时间的3.59%和0.35%，HR与HR之间的差异分别超过5次/分钟和10次/分钟，且这些差异在任何时候都未超过25次/分钟。在一项涵盖所有皮肤色素沉着类型（菲茨帕特里克皮肤分型I-VI）、使用标准室内照明且受试者运动适中的研究中，发现HR与HR之间具有极好的一致性。尽管前景广阔，但进一步的工作应包括更大的队列，每个菲茨帕特里克类别有多个受试者，并结合更严格的运动和照明方案。
