在急性医院环境中使用可穿戴传感器进行生命体征的连续数字监测

Performance of Continuous Digital Monitoring of Vital Signs with a Wearable Sensor in Acute Hospital Settings.

作者信息

Joshi Meera, Iqbal Fahad M, Sharabiani Mansour, Ashrafian Hutan, Arora Sonal, McAndrew Kenny, Khan Sadia, Cooke Graham, Darzi Ara

机构信息

Department of Surgery and Cancer, Imperial College London, London W2 1NY, UK.

Department of Primary Care & Public Health, School of Public Health, Imperial College London, London W6 8RP, UK.

出版信息

Sensors (Basel). 2025 Apr 22;25(9):2644. doi: 10.3390/s25092644.

DOI:10.3390/s25092644

PMID:40363083

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12074185/

Abstract

BACKGROUND

Continuous vital sign monitoring using wearable sensors has gained traction for the early detection of patient deterioration, particularly with the advent of virtual wards.

OBJECTIVE

The objective was to evaluate the reliability of a wearable sensor for monitoring heart rate (HR), respiratory rate (RR), and temperature in acutely unwell hospital patients and to identify the optimal time window for alert generation.

METHODS

A prospective cohort study recruited 500 patients in a single hospital. Sensor readings were compared to standard intermittent nurse observations using Bland-Altman plots to assess the limits of agreement.

RESULTS

HR demonstrated good agreement with nurse observations (intraclass correlation coefficient [ICC] = 0.66, r = 0.86, < 0.001), with a mean difference of 3.63 bpm (95% LoA: -10.87 to 18.14 bpm). RR exhibited weaker agreement (ICC = 0.20, r = 0.18, < 0.001), with a mean difference of -2.72 breaths per minute (95% LoA: -10.91 to 5.47 bpm). Temperature showed poor to fair agreement (ICC = 0.30, r = 0.39, < 0.001), with a mean difference of -0.57 °C (95% LoA: -1.72 to 0.58 °C). A 10 min averaging window was identified as optimal, balancing data retention and real-time alerting.

CONCLUSIONS

Wearable sensors demonstrate potential for reliable continuous monitoring of vital signs, supporting their future integration into real-world clinical practice for improved patient safety.

摘要

背景

随着虚拟病房的出现，使用可穿戴传感器进行连续生命体征监测在早期发现患者病情恶化方面受到了关注。

目的

评估一种可穿戴传感器在监测急性不适住院患者心率（HR）、呼吸频率（RR）和体温方面的可靠性，并确定生成警报的最佳时间窗口。

方法

一项前瞻性队列研究在一家医院招募了500名患者。使用Bland-Altman图将传感器读数与标准间歇性护士观察结果进行比较，以评估一致性界限。

结果

HR与护士观察结果显示出良好的一致性（组内相关系数[ICC]=0.66，r=0.86，<0.001），平均差异为3.63次/分钟（95%一致性界限：-10.87至18.14次/分钟）。RR的一致性较弱（ICC=0.20，r=0.18，<0.001），平均差异为-2.72次/分钟（95%一致性界限：-10.91至5.47次/分钟）。体温显示出较差至一般的一致性（ICC=0.30，r=0.39，<0.001），平均差异为-0.57°C（95%一致性界限：-1.72至0.58°C）。一个10分钟的平均窗口被确定为最佳窗口，可平衡数据保留和实时警报。