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日常生活活动期间使用可穿戴传感器对生命体征进行连续监测:验证研究。

Continuous Monitoring of Vital Signs With Wearable Sensors During Daily Life Activities: Validation Study.

作者信息

Haveman Marjolein E, van Rossum Mathilde C, Vaseur Roswita M E, van der Riet Claire, Schuurmann Richte C L, Hermens Hermie J, de Vries Jean-Paul P M, Tabak Monique

机构信息

Department of Surgery, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.

Department of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands.

出版信息

JMIR Form Res. 2022 Jan 7;6(1):e30863. doi: 10.2196/30863.

Abstract

BACKGROUND

Continuous telemonitoring of vital signs in a clinical or home setting may lead to improved knowledge of patients' baseline vital signs and earlier detection of patient deterioration, and it may also facilitate the migration of care toward home. Little is known about the performance of available wearable sensors, especially during daily life activities, although accurate technology is critical for clinical decision-making.

OBJECTIVE

The aim of this study is to assess the data availability, accuracy, and concurrent validity of vital sign data measured with wearable sensors in volunteers during various daily life activities in a simulated free-living environment.

METHODS

Volunteers were equipped with 4 wearable sensors (Everion placed on the left and right arms, VitalPatch, and Fitbit Charge 3) and 2 reference devices (Oxycon Mobile and iButton) to obtain continuous measurements of heart rate (HR), respiratory rate (RR), oxygen saturation (SpO), and temperature. Participants performed standardized activities, including resting, walking, metronome breathing, chores, stationary cycling, and recovery afterward. Data availability was measured as the percentage of missing data. Accuracy was evaluated by the median absolute percentage error (MAPE) and concurrent validity using the Bland-Altman plot with mean difference and 95% limits of agreement (LoA).

RESULTS

A total of 20 volunteers (median age 64 years, range 20-74 years) were included. Data availability was high for all vital signs measured by VitalPatch and for HR and temperature measured by Everion. Data availability for HR was the lowest for Fitbit (4807/13,680, 35.14% missing data points). For SpO measured by Everion, median percentages of missing data of up to 100% were noted. The overall accuracy of HR was high for all wearable sensors, except during walking. For RR, an overall MAPE of 8.6% was noted for VitalPatch and that of 18.9% for Everion, with a higher MAPE noted during physical activity (up to 27.1%) for both sensors. The accuracy of temperature was high for VitalPatch (MAPE up to 1.7%), and it decreased for Everion (MAPE from 6.3% to 9%). Bland-Altman analyses showed small mean differences of VitalPatch for HR (0.1 beats/min [bpm]), RR (-0.1 breaths/min), and temperature (0.5 °C). Everion and Fitbit underestimated HR up to 5.3 (LoA of -39.0 to 28.3) bpm and 11.4 (LoA of -53.8 to 30.9) bpm, respectively. Everion had a small mean difference with large LoA (-10.8 to 10.4 breaths/min) for RR, underestimated SpO (>1%), and overestimated temperature up to 2.9 °C.

CONCLUSIONS

Data availability, accuracy, and concurrent validity of the studied wearable sensors varied and differed according to activity. In this study, the accuracy of all sensors decreased with physical activity. Of the tested sensors, VitalPatch was found to be the most accurate and valid for vital signs monitoring.

摘要

背景

在临床或家庭环境中对生命体征进行持续远程监测可能会增进对患者基线生命体征的了解,并能更早地发现患者病情恶化,还可能促进医疗服务向家庭转移。尽管准确的技术对临床决策至关重要,但对于现有可穿戴传感器的性能,尤其是在日常生活活动中的性能,人们了解甚少。

目的

本研究旨在评估在模拟自由生活环境中,志愿者在各种日常生活活动期间使用可穿戴传感器测量的生命体征数据的可用性、准确性和同时效度。

方法

为志愿者配备4种可穿戴传感器(左臂和右臂佩戴的Everion、VitalPatch和Fitbit Charge 3)和2种参考设备(Oxycon Mobile和iButton),以持续测量心率(HR)、呼吸频率(RR)、血氧饱和度(SpO)和体温。参与者进行标准化活动,包括休息、步行、节拍器呼吸、家务、固定自行车运动以及之后的恢复活动。数据可用性以缺失数据的百分比来衡量。准确性通过中位数绝对百分比误差(MAPE)进行评估,并使用具有平均差异和95%一致性界限(LoA)的Bland-Altman图来评估同时效度。

结果

共纳入20名志愿者(年龄中位数64岁,范围20 - 74岁)。VitalPatch测量的所有生命体征以及Everion测量的HR和体温的数据可用性较高。Fitbit测量HR的数据可用性最低(4807/13,680,缺失数据点占35.14%)。对于Everion测量的SpO,缺失数据的中位数百分比高达100%。除步行期间外,所有可穿戴传感器测量HR的总体准确性较高。对于RR,VitalPatch的总体MAPE为8.6%,Everion为18.9%,两种传感器在体力活动期间的MAPE更高(高达27.1%)。VitalPatch测量体温的准确性较高(MAPE高达1.7%),而Everion的准确性有所下降(MAPE从6.3%降至9%)。Bland-Altman分析显示,VitalPatch在HR(0.1次/分钟 [bpm])、RR(-0.1次/分钟)和体温(0.5°C)方面的平均差异较小。Everion和Fitbit分别低估HR高达5.3(LoA为 - 39.0至28.3)bpm和11.4(LoA为 - 53.8至30.9)bpm。Everion在RR方面平均差异较小但LoA较大(-10.8至10.4次/分钟),低估SpO(>1%),并高估体温高达2.9°C。

结论

所研究的可穿戴传感器的数据可用性、准确性和同时效度因活动而异。在本研究中,所有传感器的准确性随着体力活动而降低。在所测试传感器中,VitalPatch被发现对于生命体征监测最为准确和有效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf64/8783291/ddc455e54667/formative_v6i1e30863_fig1.jpg

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