{"title":"在数字心电图中手动测量QT间期的自动调整提高了心电图药物研究的精度","authors":"K. Hnatkova, M. Malik","doi":"10.1109/CIC.2002.1166868","DOIUrl":null,"url":null,"abstract":"Drug investigation studies require similar patterns of T/U waves to be measured at the same fiducial points. However, such a systematic measurement is difficult to achieve with manual measurement as compulsory for regulatory review. A new system was developed that adjusts manually measured QT intervals in sets of ECGs obtained from the same drug study. For a given threshold w, the system organizes all the repolarisation patterns in groups of ECG leads that correlate each with each other with abs(r)>w. Within these groups, the system assigns a shift of the measured T wave end in each ECG lead to synchronise the patterns of the manual measurements. The same approach is used to align the QRS onset measurements. The system was used in a drug-study of 4090 ECGs obtained in healthy volunteers off- and on-treatment with an investigational drug. The difference between manual measurements and the measurements adjusted by the new software was characterised by calculating the regression residua between QT and RR intervals and by comparing the QT dispersion. After applying the system, the regression residua were reduced from 15.06 to 14.32 ms (p<0.002). The QT dispersion values were reduced from 38.3 (SD=172) to 30.2 (SD=15.4) ms (p<10/sup -200/). Automatic adjustment of manual measurements of QT intervals in electronically recorded ECGs improves the precision of QT interval assessment in electrocardiographic drug studies.","PeriodicalId":80984,"journal":{"name":"Computers in cardiology","volume":"1 1","pages":"697-700"},"PeriodicalIF":0.0000,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CIC.2002.1166868","citationCount":"8","resultStr":"{\"title\":\"Automatic adjustment of manually measured QT intervals in digital electrocardiograms improves precision of electrocardiographic drug studies\",\"authors\":\"K. Hnatkova, M. Malik\",\"doi\":\"10.1109/CIC.2002.1166868\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Drug investigation studies require similar patterns of T/U waves to be measured at the same fiducial points. However, such a systematic measurement is difficult to achieve with manual measurement as compulsory for regulatory review. A new system was developed that adjusts manually measured QT intervals in sets of ECGs obtained from the same drug study. For a given threshold w, the system organizes all the repolarisation patterns in groups of ECG leads that correlate each with each other with abs(r)>w. Within these groups, the system assigns a shift of the measured T wave end in each ECG lead to synchronise the patterns of the manual measurements. The same approach is used to align the QRS onset measurements. The system was used in a drug-study of 4090 ECGs obtained in healthy volunteers off- and on-treatment with an investigational drug. The difference between manual measurements and the measurements adjusted by the new software was characterised by calculating the regression residua between QT and RR intervals and by comparing the QT dispersion. After applying the system, the regression residua were reduced from 15.06 to 14.32 ms (p<0.002). The QT dispersion values were reduced from 38.3 (SD=172) to 30.2 (SD=15.4) ms (p<10/sup -200/). Automatic adjustment of manual measurements of QT intervals in electronically recorded ECGs improves the precision of QT interval assessment in electrocardiographic drug studies.\",\"PeriodicalId\":80984,\"journal\":{\"name\":\"Computers in cardiology\",\"volume\":\"1 1\",\"pages\":\"697-700\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1109/CIC.2002.1166868\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers in cardiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIC.2002.1166868\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers in cardiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIC.2002.1166868","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
摘要
药物调查研究需要在相同的基准点上测量相似的T/U波模式。然而,这种系统的测量很难实现,因为人工测量是监管审查的强制性要求。开发了一种新的系统,用于调整同一药物研究中获得的心电图组中手动测量的QT间期。对于给定的阈值w,系统将所有的重极化模式组织成ECG导联组,这些导联与abs(r)>w相互关联。在这些组中,系统在每个ECG导联中分配测量的T波端移位,以同步手动测量的模式。使用相同的方法来对齐QRS起始测量值。该系统用于一项药物研究,该研究收集了4090名健康志愿者的心电图,这些志愿者正在接受一种研究药物的治疗。通过计算QT间隔和RR间隔之间的回归残差以及比较QT离散度来表征人工测量与新软件调整后的测量之间的差异。应用该系统后,回归残差由15.06 ms降至14.32 ms (p<0.002)。QT离散度值从38.3 (SD=172)降至30.2 (SD=15.4) ms (p<10/sup -200/)。电子记录心电图中QT间期人工测量的自动调整提高了心电图药物研究中QT间期评估的精度。
Automatic adjustment of manually measured QT intervals in digital electrocardiograms improves precision of electrocardiographic drug studies
Drug investigation studies require similar patterns of T/U waves to be measured at the same fiducial points. However, such a systematic measurement is difficult to achieve with manual measurement as compulsory for regulatory review. A new system was developed that adjusts manually measured QT intervals in sets of ECGs obtained from the same drug study. For a given threshold w, the system organizes all the repolarisation patterns in groups of ECG leads that correlate each with each other with abs(r)>w. Within these groups, the system assigns a shift of the measured T wave end in each ECG lead to synchronise the patterns of the manual measurements. The same approach is used to align the QRS onset measurements. The system was used in a drug-study of 4090 ECGs obtained in healthy volunteers off- and on-treatment with an investigational drug. The difference between manual measurements and the measurements adjusted by the new software was characterised by calculating the regression residua between QT and RR intervals and by comparing the QT dispersion. After applying the system, the regression residua were reduced from 15.06 to 14.32 ms (p<0.002). The QT dispersion values were reduced from 38.3 (SD=172) to 30.2 (SD=15.4) ms (p<10/sup -200/). Automatic adjustment of manual measurements of QT intervals in electronically recorded ECGs improves the precision of QT interval assessment in electrocardiographic drug studies.