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视频容积描记法用于手术患者的非接触式呼吸频率测量。

Video plethysmography for contactless measurement of respiratory rate in surgical patients.

机构信息

Department of Anesthesia and Pain Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON, Canada.

Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.

出版信息

J Clin Monit Comput. 2024 Feb;38(1):47-55. doi: 10.1007/s10877-023-01064-8. Epub 2023 Sep 12.

Abstract

The accurate recording of respiratory rate (RR) without contact is important for patient care. The current methods for RR measurement such as capnography, pneumography, and plethysmography require patient contact, are cumbersome, or not accurate for widespread clinical use. Video Plethysmography (VPPG) is a novel automated technology that measures RR using a facial video without contact. The objective of our study was to determine whether VPPG can feasibly and accurately measure RR without contact in surgical patients at a clinical setting. After research ethics approval, 216 patients undergoing ambulatory surgery consented to the study. Patients had a 1.5 min video of their faces taken via an iPad preoperatively, which was analyzed using VPPG to obtain RR information. The RR prediction by VPPG was compared to 60-s manual counting of breathing by research assistants. We found that VPPG predicted RR with 88.8% accuracy and a bias of 1.40 ± 1.96 breaths per minute. A significant and high correlation (0.87) was observed between VPPG-predicted and manually recorded RR. These results did not change with the ethnicity of patients. The success rate of the VPPG technology was 99.1%. Contactless RR monitoring of surgical patients at a hospital setting using VPPG is accurate and feasible, making this technology an attractive alternative to the current approaches to RR monitoring. Future developments should focus on improving reliability of the technology.

摘要

准确记录无接触呼吸频率(RR)对患者护理至关重要。目前的 RR 测量方法,如呼气末二氧化碳监测、呼吸描记法和体积描记法,都需要患者接触,操作繁琐,或不适合广泛的临床应用。视频体积描记法(VPPG)是一种新颖的自动化技术,它通过无接触的面部视频来测量 RR。我们的研究目的是确定 VPPG 是否可以在临床环境中对手术患者进行无接触、可行且准确地测量 RR。

在获得研究伦理批准后,216 名接受日间手术的患者同意参与研究。患者在术前通过 iPad 拍摄 1.5 分钟的面部视频,然后使用 VPPG 对视频进行分析,以获取 RR 信息。VPPG 预测的 RR 与研究助理手动计数 60 秒呼吸的结果进行比较。

我们发现,VPPG 预测 RR 的准确率为 88.8%,偏差为 1.40±1.96 次/分钟。VPPG 预测的 RR 与手动记录的 RR 之间存在显著的高度相关性(0.87)。这些结果不受患者种族的影响。VPPG 技术的成功率为 99.1%。在医院环境中,使用 VPPG 对手术患者进行无接触 RR 监测是准确且可行的,这使得该技术成为 RR 监测现有方法的有吸引力的替代方案。未来的发展应重点提高技术的可靠性。

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