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非专业人士心肺复苏急救设备的设计与评估。

Design and Evaluation of CPR Emergency Equipment for Non-Professionals.

机构信息

College of Art and Design, Zhejiang Sci-Tech University, No. 8 Kangtai Road, Shengtanghe Community, Linping District, Hangzhou 311103, China.

出版信息

Sensors (Basel). 2023 Jun 27;23(13):5948. doi: 10.3390/s23135948.

DOI:10.3390/s23135948
PMID:37447797
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10347270/
Abstract

Sudden cardiac death is a sudden and highly fatal condition. Implementing high-quality emergency cardiopulmonary resuscitation (CPR) early on is an effective rescue method for this disease. However, the rescue steps of CPR are complicated and difficult to remember, and the quantitative indicators are difficult to control, which leads to a poor quality of CPR emergency actions outside the hospital setting. Therefore, we have developed CPR emergency equipment with a multisensory feedback function, aiming to guide rescuers in performing CPR through visual, auditory, and tactile interaction. This equipment consists of three components: first aid clothing, an audio-visual integrated terminal, and a vital sign detector. These three components are based on a micro-power WiFi-Mesh network, enabling the long-term wireless transmission of the multisensor data. To evaluate the impact of the multisensory feedback CPR emergency equipment on nonprofessionals, we conducted a controlled experiment involving 32 nonmedical subjects. Each subject was assigned to either the experimental group, which used the equipment, or the control group, which did not. The main evaluation criteria were the chest compression (CC) depth, the CC rate, the precise depth of the CC ratio (5-6 cm), and the precise rate of the CC ratio -(100-120 times/min). The results indicated that the average CC depth in the experimental group was 51.5 ± 1.3 mm, which was significantly better than that of the control group (50.2 ± 2.2 mm, = 0.012). Moreover, the average CC rate in the experimental group (110.1 ± 6.2 times/min) was significantly higher than that of the control group (100.4 ± 6.6 times/min) ( < 0.001). Compared to the control group (66.37%), the experimental group showed a higher proportion of precise CC depth (82.11%), which is closer to the standard CPR rate of 100%. In addition, the CC ratio of the precise rate was 93.75% in the experimental group, which was significantly better than that of 56.52% in the control group ( = 0.024). Following the experiment, the revised System Availability Scale (SUS) was utilized to evaluate the equipment's usability. The average total SUS score was 78.594, indicating that the equipment's acceptability range was evaluated as 'acceptable', and the overall adjective rating was 'good'. In conclusion, the multisensory feedback CPR emergency equipment significantly enhances the CC performance (CC depth, CC rate, the precise depth of CC ratio, the precise rate of CC ratio) of nonprofessionals during CPR, and the majority of participants perceive the equipment as being easy to use.

摘要

心搏骤停是一种突发且高度致命的病症。早期实施高质量的紧急心肺复苏术(CPR)是对此类疾病的有效抢救方法。然而,CPR 的抢救步骤复杂且难以记忆,定量指标也难以控制,这导致院外 CPR 急救行动的质量较差。因此,我们研发了具有多感官反馈功能的 CPR 急救设备,旨在通过视觉、听觉和触觉交互来指导施救者进行 CPR。该设备由三个部分组成:急救服装、视听集成终端和生命体征探测器。这三个部分基于微功率 WiFi-Mesh 网络,可实现长期的多传感器数据无线传输。为了评估多感官反馈 CPR 急救设备对非专业人员的影响,我们进行了一项涉及 32 名非医学专业人员的对照实验。每个受试者被分配到实验组或对照组。实验组使用该设备,对照组则不使用。主要评估标准是胸外按压(CC)深度、CC 频率、CC 深度精确率(5-6cm)和 CC 频率精确率(100-120 次/分钟)。结果表明,实验组的平均 CC 深度为 51.5±1.3mm,明显优于对照组的 50.2±2.2mm( = 0.012)。此外,实验组的平均 CC 频率(110.1±6.2 次/分钟)明显高于对照组(100.4±6.6 次/分钟)( < 0.001)。与对照组(66.37%)相比,实验组更接近标准 CPR 频率(100%)的精确 CC 深度比例(82.11%)更高。此外,实验组的 CC 精确频率比例为 93.75%,明显优于对照组的 56.52%( = 0.024)。实验结束后,采用修订后的系统可用性量表(SUS)对设备的可用性进行评估。平均总 SUS 评分为 78.594,表明设备的可接受范围评估为“可接受”,整体形容词评分为“良好”。综上所述,多感官反馈 CPR 急救设备可显著提高非专业人员进行 CPR 时的 CC 性能(CC 深度、CC 频率、CC 深度精确率、CC 频率精确率),大多数参与者认为该设备易于使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e85/10347270/6c632fb1361e/sensors-23-05948-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e85/10347270/44100a85c2cf/sensors-23-05948-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e85/10347270/0159fb951c52/sensors-23-05948-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e85/10347270/be87a6a5ae82/sensors-23-05948-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e85/10347270/f89fd511e5d6/sensors-23-05948-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e85/10347270/6c632fb1361e/sensors-23-05948-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e85/10347270/44100a85c2cf/sensors-23-05948-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e85/10347270/b1a568399f8a/sensors-23-05948-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e85/10347270/6e15d937045e/sensors-23-05948-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e85/10347270/21bcfdaea56a/sensors-23-05948-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e85/10347270/cba837c01ec9/sensors-23-05948-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e85/10347270/0159fb951c52/sensors-23-05948-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e85/10347270/be87a6a5ae82/sensors-23-05948-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e85/10347270/f89fd511e5d6/sensors-23-05948-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e85/10347270/6c632fb1361e/sensors-23-05948-g010.jpg

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