电子测量技术ELECTRONICMEASUREMENTTECHNOLOGY第45卷第23期2022年12月DOI:10.19651/j.cnki.emt.2210014融合注意力机制的BiLSTM网络实现无创血压测量陈晓1,2杨瑶1(1.南京信息工程大学电子与信息工程学院南京210044;2.南京信息工程大学大气环境与装备技术协同创新中心南京210044)摘要:血压是人体的重要生理指标特征,血压的准确测量对心血管类疾病的诊断和治疗有重要意义。提出了基于注意力机制的双向长短记忆网络用于无创血压测量的方法。由于注意力机制可以根据特征的重要性来分配权重系数,所以方法把其引入到双向长短记忆网络中从脉搏波中计算出血压。试验结果表明引入注意力机制的双向长短记忆网络相较于双向长短记忆网络,MSE值和MAE值都得到了大幅度的降低,分别降低了18.29%和21.27%,R方值提高了0.17%。方法提高了无创血压测量的精度。关键词:血压测量;脉搏;双向长短记忆网络;注意力机制中图分类号:TN911.7文献标识码:A国家标准学科分类代码:52020NoninvasivebloodpressuremeasurementbasedonBiLSTMnetworkwithattentionmechanismChenXiao1,2YangYao1(1.SchoolofElectronicandInformationEngineering,NanjingUniversityofInformationScienceandTechnology,Nanjing210044,China;2.JiangsuCollaborativeInnovationCenterofAtmosphericEnvironmentandEquipmentTechnology,NanjingUniversityofInformationScienceandTechnology,Nanjing210044,China)Abstract:bloodpressureisanimportantphysiologicalindexofhumanbody.Itcanjudgethecardiovascularfunctionandheartconditionofthebody.Manydiseasesarecloselyrelatedtobloodpressure.Therefore,thecorrectdeterminationofbloodpressureisofgreatsignificanceforthediagnosisandtreatmentofcardiovasculardiseases.WeproposedanoninvasivebloodpressuremeasurementmethodbasedonBiLSTMnetwork.Firstly,takingtheBiLSTMnetworkandthetraditionalLSTMastheexperimentalmodel,andcomparingtheoutputevaluationindexcoefficients,itisfoundthattheBiLSTMnetworkhasabettereffectonbloodpressuremeasurement.Becausetheattentionmechanismcanassignweightcoefficientsfromrowsaccordingtotheimportanceoffeatures,itisintroducedintotheBiLSTMnetworkwithgoodmeasurementeffectforexperiments.Accordingtotheresults,itisfoundthatcomparedwiththeoriginalBiLSTMmodel,theMSEvalueandMaevalueoftheintroduc...
