Recognition of high-specificity hERG K+ channel inhibitor-induced arrhythmia in cardiomyocytes by automated template matching
作者机构：The First Affiliated Hospital of Sun Yat-sen UniversitySchool of Electronics and Information TechnologyState Key Laboratory of Optoelectronic Materials and TechnologiesGuangdong Province Key Laboratory of Display Material and TechnologySun Yat-sen UniversityGuangzhou510006China Biosensor National Special LaboratoryKey Laboratory of Biomedical Engineering of Ministry of EducationDepartment of Biomedical EngineeringZhejiang UniversityHangzhou310027China The Sixth Affiliated Hospital of Sun Yat-sen UniversityGuangzhou510655China State Key Laboratory of Transducer TechnologyChinese Academy of SciencesShanghai200050China
出 版 物：《Microsystems & Nanoengineering》 (微系统与纳米工程（英文）)
年 卷 期：2021年第7卷第2期
页 面：107-119页
核心收录：
学科分类：1002[医学-临床医学] 081203[工学-计算机应用技术] 08[工学] 100201[医学-内科学(含：心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 0835[工学-软件工程] 10[医学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：The work is supported in part by the National Natural Science Foundation of China(Grant Nos.82061148011,61771498,and 31627801) the Guangdong Basic and Applied Basic Research Foundation(Grant No.2020A1515010665) the 100 Talents Program of Sun Yat-sen University(Grant Nos.76120-18841213 and 76120-18821104) the Basic Scientific Research Special Foundation of Sun Yat-sen University(Grant Nos.20lgpy47 and 20lgzd14) the Chinese Academy of Sciences Opening Project(Grant No.SKT2006) Department of Science and Technology of Guangdong province(Grant Nos.2020B1212060030)
摘 要：Cardiovascular disease(CVD)is the number one cause of death in *** induced by gene mutations,heart disease,or hERG K+channel inhibitors is a serious CVD that can lead to sudden death or heart *** cardiomyocyte-based biosensors can record extracellular potentials and mechanical beating ***,parameter extraction and examination by the naked eye are the traditional methods for analyzing arrhythmic beats,and it is difficult to achieve automated and efficient arrhythmic recognition with these *** this work,we developed a unique automated template matching(ATM)cardiomyocyte beating model to achieve arrhythmic recognition at the single beat level with an interdigitated electrode impedance detection *** ATM model was established based on a rhythmic template with a data length that was dynamically adjusted to match the data length of the target beat by spline *** performance of the ATM model under long-term astemizole,droperidol,and sertindole treatment at different doses was *** results indicated that the ATM model based on a random rhythmic template of a signal segment obtained after astemizole treatment presented a higher recognition accuracy(100%for astemizole treatment and 99.14%for droperidol and sertindole treatment)than the ATM model based on arrhythmic *** believe this highly specific ATM method based on a cardiomyocyte beating model has the potential to be used for arrhythmia screening in the fields of cardiology and pharmacology.
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