{"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":null,"pages":null},"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\":null,\"pages\":null},\"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}
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.
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.