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用于检测不同解剖位置心率、血氧饱和度和呼吸频率的反射式光电容积脉搏波描记法的比较

A Comparison of Reflective Photoplethysmography for Detection of Heart Rate, Blood Oxygen Saturation, and Respiration Rate at Various Anatomical Locations.

作者信息

Longmore Sally K, Lui Gough Y, Naik Ganesh, Breen Paul P, Jalaludin Bin, Gargiulo Gaetano D

机构信息

MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Milperra, NSW 2560, Australia.

Translational Health Research Institute, Western Sydney University, Campbelltown, NSW 2560, Australia.

出版信息

Sensors (Basel). 2019 Apr 19;19(8):1874. doi: 10.3390/s19081874.

DOI:10.3390/s19081874
PMID:31010184
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6514840/
Abstract

Monitoring of vital signs is critical for patient triage and management. Principal assessments of patient conditions include respiratory rate heart/pulse rate and blood oxygen saturation. However, these assessments are usually carried out with multiple sensors placed in different body locations. The aim of this paper is to identify a single location on the human anatomy whereby a single 1 cm × 1 cm non-invasive sensor could simultaneously measure heart rate (HR), blood oxygen saturation (SpO), and respiration rate (RR), at rest and while walking. To evaluate the best anatomical location, we analytically compared eight anatomical locations for photoplethysmography (PPG) sensors simultaneously acquired by a single microprocessor at rest and while walking, with a comparison to a commercial pulse oximeter and respiration rate ground truth. Our results show that the forehead produced the most accurate results for HR and SpO both at rest and walking, however, it had poor RR results. The finger recorded similar results for HR and SpO, however, it had more accurate RR results. Overall, we found the finger to be the best location for measurement of all three parameters at rest; however, no site was identified as capable of measuring all parameters while walking.

摘要

生命体征监测对于患者的分诊和管理至关重要。对患者状况的主要评估包括呼吸频率、心率/脉搏率和血氧饱和度。然而,这些评估通常需要在身体不同部位放置多个传感器来进行。本文的目的是确定人体解剖结构上的一个单一位置,通过一个1厘米×1厘米的非侵入性传感器,能够在静息和行走状态下同时测量心率(HR)、血氧饱和度(SpO)和呼吸频率(RR)。为了评估最佳解剖位置,我们通过分析比较了八个用于光电容积脉搏波描记法(PPG)传感器的解剖位置,这些传感器由单个微处理器在静息和行走状态下同时采集,并与商用脉搏血氧仪和呼吸频率的真实值进行比较。我们的结果表明,前额在静息和行走状态下对HR和SpO的测量结果最为准确,然而,其RR测量结果较差。手指对HR和SpO的测量结果相似,但其RR测量结果更准确。总体而言,我们发现手指是静息状态下测量所有三个参数的最佳位置;然而,没有发现任何一个部位能够在行走状态下测量所有参数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cf0/6514840/79e2d76580a5/sensors-19-01874-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cf0/6514840/9338a30b4697/sensors-19-01874-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cf0/6514840/c8288b3de29b/sensors-19-01874-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cf0/6514840/5dda7a14cb3a/sensors-19-01874-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cf0/6514840/5346696513d9/sensors-19-01874-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cf0/6514840/69fd6cee3183/sensors-19-01874-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cf0/6514840/e636ef9f8cc0/sensors-19-01874-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cf0/6514840/06c098d1fe9f/sensors-19-01874-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cf0/6514840/cf5dd3c5fef4/sensors-19-01874-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cf0/6514840/79e2d76580a5/sensors-19-01874-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cf0/6514840/9338a30b4697/sensors-19-01874-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cf0/6514840/c8288b3de29b/sensors-19-01874-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cf0/6514840/5dda7a14cb3a/sensors-19-01874-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cf0/6514840/5346696513d9/sensors-19-01874-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cf0/6514840/69fd6cee3183/sensors-19-01874-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cf0/6514840/e636ef9f8cc0/sensors-19-01874-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cf0/6514840/06c098d1fe9f/sensors-19-01874-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cf0/6514840/cf5dd3c5fef4/sensors-19-01874-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cf0/6514840/79e2d76580a5/sensors-19-01874-g009.jpg

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