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高强度间歇训练期间基于光电容积脉搏波描记法的呼吸频率监测评估:对医疗监测的启示

Evaluation of Photoplethysmography-Based Monitoring of Respiration Rate During High-Intensity Interval Training: Implications for Healthcare Monitoring.

作者信息

Muller Marjolein, Ebrahimkheil Kambiz, Vijgeboom Tara, van Eijck Casper, Ronner Eelko

机构信息

Corsano Health B.V., Wilhelmina van Pruisenweg 35, 2595 AN The Hague, The Netherlands.

Department of Cardiology, Reinier de Graaf Hospital, Reinier de Graafweg 5, 2625 AD Delft, The Netherlands.

出版信息

Biosensors (Basel). 2024 Dec 20;14(12):631. doi: 10.3390/bios14120631.

DOI:10.3390/bios14120631
PMID:39727896
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11674237/
Abstract

Monitoring respiration rate (RR) is crucial in various healthcare settings, particularly during demanding (physical) activities where respiratory dynamics are critical indicators of health status. This study aimed to evaluate the accuracy of photoplethysmography (PPG)-based monitoring of RR during high-intensity interval training (HIIT) and its potential applications in healthcare. Between January and March 2024, healthy volunteers participated in a cycling HIIT session with increasing resistance levels. The RR measurements obtained using the PPG-based CardioWatch 287-2 (Corsano Health) were compared with an ECG patch-derived (Vivalink) reference. Subgroup analyses were conducted based on skin type and sex. A total of 35 participants contributed 1794 paired RR measurements. The PPG algorithm for RR monitoring showed an average root mean square (Arms) error of 2.13 breaths per minute (brpm), a bias of -0.09 brpm, and limits of agreement (LoA) from -4.28 to 4.09 brpm. Results were consistent across the different demographic subgroups. The CardioWatch 287-2 therefore demonstrated reliable RR monitoring during HIIT, supporting its potential use in healthcare settings for continuous, non-invasive respiratory monitoring, particularly in physical rehabilitation and chronic respiratory condition management.

摘要

监测呼吸频率(RR)在各种医疗环境中都至关重要,尤其是在高强度(体力)活动期间,此时呼吸动力学是健康状况的关键指标。本研究旨在评估基于光电容积脉搏波描记法(PPG)在高强度间歇训练(HIIT)期间监测RR的准确性及其在医疗保健中的潜在应用。在2024年1月至3月期间,健康志愿者参加了阻力水平不断增加的自行车HIIT课程。将使用基于PPG的CardioWatch 287-2(Corsano Health)获得的RR测量值与源自心电图贴片(Vivalink)的参考值进行比较。根据皮肤类型和性别进行亚组分析。共有35名参与者提供了1794对RR测量值。用于RR监测的PPG算法显示平均均方根(Arms)误差为每分钟2.13次呼吸(brpm),偏差为-0.09 brpm,一致性界限(LoA)为-4.28至4.09 brpm。不同人口统计学亚组的结果一致。因此,CardioWatch 287-2在HIIT期间表现出可靠的RR监测,支持其在医疗保健环境中用于连续、无创呼吸监测的潜在用途,特别是在物理康复和慢性呼吸疾病管理中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a69/11674237/637abaac35b4/biosensors-14-00631-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a69/11674237/aeb28bf73182/biosensors-14-00631-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a69/11674237/637abaac35b4/biosensors-14-00631-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a69/11674237/aeb28bf73182/biosensors-14-00631-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a69/11674237/637abaac35b4/biosensors-14-00631-g002.jpg

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