基于光敏肌电图的手术疼痛严重程度评估指标分析

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Gayeon Ryu, Jae Moon Choi, Jaehyung Lee, Hyeon Seok Seok, Hangsik Shin, Byung-Moon Choi
{"title":"基于光敏肌电图的手术疼痛严重程度评估指标分析","authors":"Gayeon Ryu, Jae Moon Choi, Jaehyung Lee, Hyeon Seok Seok, Hangsik Shin, Byung-Moon Choi","doi":"10.1007/s42835-024-01999-1","DOIUrl":null,"url":null,"abstract":"<p>We investigated the use of photoplethysmography (PPG) features to assess the severity of both intraoperative and postoperative pain. PPG data was collected from 386 patients undergoing routine surgery. We extracted 180 pain assessment features based on PPG waveform characteristics identified in previous studies. Pain assessment involves a two-step process. First, we evaluated the presence of pain using the extracted features. If significant pain was detected, we then conducted a severity analysis. Pain severity was categorized into three groups: no pain, moderate, and severe. Intraoperative and postoperative pain labeling were based on clinical judgment and numerical rating scale criteria, respectively. For intraoperative pain presence, we performed statistical tests to identify significant changes in features before and after both intubation and skin incision. Postoperative pain presence analysis compared preoperative and postoperative periods. Statistical analysis revealed 106 and 124 features significant for intraoperative and postoperative pain presence, respectively. Among the pain-related features, 27 related to PPG amplitude, area, and slope were significant for all severity comparisons (no pain vs. moderate, no pain vs. severe, and moderate vs. severe) during intraoperative assessment. Postoperative severity assessment identified 12 significant features related to PPG amplitude, area, and pulse interval. These results suggest the potential of PPG-based features for assessing pain severity.</p>","PeriodicalId":15577,"journal":{"name":"Journal of Electrical Engineering & Technology","volume":"79 1","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of Photoplethysmography-Based Surgical Pain Severity Assessment Markers\",\"authors\":\"Gayeon Ryu, Jae Moon Choi, Jaehyung Lee, Hyeon Seok Seok, Hangsik Shin, Byung-Moon Choi\",\"doi\":\"10.1007/s42835-024-01999-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>We investigated the use of photoplethysmography (PPG) features to assess the severity of both intraoperative and postoperative pain. PPG data was collected from 386 patients undergoing routine surgery. We extracted 180 pain assessment features based on PPG waveform characteristics identified in previous studies. Pain assessment involves a two-step process. First, we evaluated the presence of pain using the extracted features. If significant pain was detected, we then conducted a severity analysis. Pain severity was categorized into three groups: no pain, moderate, and severe. Intraoperative and postoperative pain labeling were based on clinical judgment and numerical rating scale criteria, respectively. For intraoperative pain presence, we performed statistical tests to identify significant changes in features before and after both intubation and skin incision. Postoperative pain presence analysis compared preoperative and postoperative periods. Statistical analysis revealed 106 and 124 features significant for intraoperative and postoperative pain presence, respectively. Among the pain-related features, 27 related to PPG amplitude, area, and slope were significant for all severity comparisons (no pain vs. moderate, no pain vs. severe, and moderate vs. severe) during intraoperative assessment. Postoperative severity assessment identified 12 significant features related to PPG amplitude, area, and pulse interval. These results suggest the potential of PPG-based features for assessing pain severity.</p>\",\"PeriodicalId\":15577,\"journal\":{\"name\":\"Journal of Electrical Engineering & Technology\",\"volume\":\"79 1\",\"pages\":\"\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Electrical Engineering & Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s42835-024-01999-1\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Electrical Engineering & Technology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s42835-024-01999-1","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

摘要

我们研究了使用光电压力描记术(PPG)特征来评估术中和术后疼痛严重程度的方法。我们收集了 386 名常规手术患者的 PPG 数据。我们根据以往研究中确定的 PPG 波形特征提取了 180 个疼痛评估特征。疼痛评估包括两个步骤。首先,我们使用提取的特征来评估是否存在疼痛。如果检测到明显疼痛,我们就进行疼痛严重程度分析。疼痛严重程度分为三组:无痛、中度和重度。术中和术后疼痛的标记分别基于临床判断和数字评级量表标准。对于术中疼痛的存在,我们进行了统计检验,以确定插管和切开皮肤前后特征的显著变化。术后疼痛感分析比较了术前和术后的疼痛感。统计分析显示,分别有 106 和 124 个特征对术中和术后疼痛的存在有显著影响。在与疼痛相关的特征中,27 个与 PPG 振幅、面积和斜率相关的特征在术中评估的所有严重程度比较(无痛与中度、无痛与重度、中度与重度)中都具有显著性。术后严重程度评估确定了 12 个与 PPG 振幅、面积和脉搏间期相关的重要特征。这些结果表明,基于 PPG 的特征具有评估疼痛严重程度的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Analysis of Photoplethysmography-Based Surgical Pain Severity Assessment Markers

Analysis of Photoplethysmography-Based Surgical Pain Severity Assessment Markers

We investigated the use of photoplethysmography (PPG) features to assess the severity of both intraoperative and postoperative pain. PPG data was collected from 386 patients undergoing routine surgery. We extracted 180 pain assessment features based on PPG waveform characteristics identified in previous studies. Pain assessment involves a two-step process. First, we evaluated the presence of pain using the extracted features. If significant pain was detected, we then conducted a severity analysis. Pain severity was categorized into three groups: no pain, moderate, and severe. Intraoperative and postoperative pain labeling were based on clinical judgment and numerical rating scale criteria, respectively. For intraoperative pain presence, we performed statistical tests to identify significant changes in features before and after both intubation and skin incision. Postoperative pain presence analysis compared preoperative and postoperative periods. Statistical analysis revealed 106 and 124 features significant for intraoperative and postoperative pain presence, respectively. Among the pain-related features, 27 related to PPG amplitude, area, and slope were significant for all severity comparisons (no pain vs. moderate, no pain vs. severe, and moderate vs. severe) during intraoperative assessment. Postoperative severity assessment identified 12 significant features related to PPG amplitude, area, and pulse interval. These results suggest the potential of PPG-based features for assessing pain severity.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Electrical Engineering & Technology
Journal of Electrical Engineering & Technology ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
4.00
自引率
15.80%
发文量
321
审稿时长
3.8 months
期刊介绍: ournal of Electrical Engineering and Technology (JEET), which is the official publication of the Korean Institute of Electrical Engineers (KIEE) being published bimonthly, released the first issue in March 2006.The journal is open to submission from scholars and experts in the wide areas of electrical engineering technologies. The scope of the journal includes all issues in the field of Electrical Engineering and Technology. Included are techniques for electrical power engineering, electrical machinery and energy conversion systems, electrophysics and applications, information and controls.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信