Evaluation of photoplethysmography-based monitoring of pulse rate, interbeat-intervals, and oxygen saturation during high-intensity interval training.

IF 2.9 4区 医学 Q3 ENGINEERING, BIOMEDICAL
Tara Vijgeboom, Marjolein Muller, Kambiz Ebrahimkheil, Casper van Eijck, Eelko Ronner
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引用次数: 0

Abstract

Background: Heart disease patients necessitate precise monitoring to ensure the safety and efficacy of their physical activities when managing conditions such as hypertension or heart failure. This study, therefore, aimed to evaluate the accuracy of photoplethysmography (PPG)-based monitoring of pulse rate (PR), interbeat-intervals (IB-I) and oxygen saturation (SpO2) during high-intensity interval training (HIIT).

Methods: Between January and March 2024, healthy volunteers were subjected to a cycling HIIT workout with bike resistance increments to evaluate performance within different heart rate ranges. To determine the accuracy of PPG-based measurements for PR, IB-I, and SpO2 using the CardioWatch 287-2 (Corsano Health, the Netherlands), measurements throughout these ranges were compared to paired reference values from the Covidien Nellcor pulse oximeter (PM10N) and Vivalink's wearable ECG patch monitor. Subgroups were defined for Fitzpatrick skin type and gender.

Results: In total, 35 healthy individuals participated, resulting in 7183 paired measurements for PR, 22,713 for IB-I, and 41,817 for SpO2. The PR algorithm showed an average root mean square (Arms) of 2.51 beats per minute (bpm), bias at 0.05 bpm, and limits of agreement (LoA) from -4.87 to 4.97 bpm. The IB-I algorithm achieved an Arms of 23.00 ms, a bias of 1.00 ms, and LoA from -43.82 to 46.21 ms. Finally, the SpO2 algorithm showed an Arms of 1.28%, a bias of 0.13%, and LoA from -2.37% to 2.62%. The results were consistent across different demographic subgroups.

Conclusions: This study demonstrates that the PPG-based CardioWatch 287-2 can accurately monitor PR, IB-I, and SpO2 during HIIT. However, further research is recommended to evaluate the algorithm's performance in heart disease patients during demanding exercise.

在高强度间歇训练期间,对基于光电血压计的脉率、搏动间隔和血氧饱和度监测进行评估。
背景:心脏病患者在治疗高血压或心力衰竭等疾病时,需要进行精确监测,以确保其体育活动的安全性和有效性。因此,本研究旨在评估在高强度间歇训练(HIIT)过程中,基于光电血压计(PPG)监测脉率(PR)、搏动间隔(IB-I)和血氧饱和度(SpO2)的准确性:方法:2024 年 1 月至 3 月期间,健康志愿者接受了自行车阻力递增的骑行 HIIT 训练,以评估在不同心率范围内的表现。为了确定使用 CardioWatch 287-2(荷兰 Corsano Health 公司)基于 PPG 测量 PR、IB-I 和 SpO2 的准确性,将这些范围内的测量值与 Covidien Nellcor 脉搏血氧仪 (PM10N) 和 Vivalink 可穿戴式心电图贴片监测仪的成对参考值进行了比较。根据菲茨帕特里克皮肤类型和性别确定了分组:共有 35 名健康人参加了测量,结果显示 PR 配对测量结果为 7183 次,IB-I 测量结果为 22713 次,SpO2 测量结果为 41817 次。PR 算法的平均均方根 (Arms) 为每分钟 2.51 次,偏差为每分钟 0.05 次,一致性范围 (LoA) 为每分钟-4.87 至 4.97 次。IB-I 算法的 Arms 为 23.00 毫秒,偏差为 1.00 毫秒,LoA 为 -43.82 至 46.21 毫秒。最后,SpO2 算法的 Arms 值为 1.28%,偏差为 0.13%,LoA 值从 -2.37% 到 2.62%。不同人口亚群的结果一致:本研究表明,基于 PPG 的 CardioWatch 287-2 可以准确监测 HIIT 期间的 PR、IB-I 和 SpO2。不过,建议进一步研究评估该算法在心脏病患者进行高强度运动时的性能。
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来源期刊
BioMedical Engineering OnLine
BioMedical Engineering OnLine 工程技术-工程:生物医学
CiteScore
6.70
自引率
2.60%
发文量
79
审稿时长
1 months
期刊介绍: BioMedical Engineering OnLine is an open access, peer-reviewed journal that is dedicated to publishing research in all areas of biomedical engineering. BioMedical Engineering OnLine is aimed at readers and authors throughout the world, with an interest in using tools of the physical and data sciences and techniques in engineering to understand and solve problems in the biological and medical sciences. Topical areas include, but are not limited to: Bioinformatics- Bioinstrumentation- Biomechanics- Biomedical Devices & Instrumentation- Biomedical Signal Processing- Healthcare Information Systems- Human Dynamics- Neural Engineering- Rehabilitation Engineering- Biomaterials- Biomedical Imaging & Image Processing- BioMEMS and On-Chip Devices- Bio-Micro/Nano Technologies- Biomolecular Engineering- Biosensors- Cardiovascular Systems Engineering- Cellular Engineering- Clinical Engineering- Computational Biology- Drug Delivery Technologies- Modeling Methodologies- Nanomaterials and Nanotechnology in Biomedicine- Respiratory Systems Engineering- Robotics in Medicine- Systems and Synthetic Biology- Systems Biology- Telemedicine/Smartphone Applications in Medicine- Therapeutic Systems, Devices and Technologies- Tissue Engineering
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