Seyedeh Somayyeh Mousavi, Mohammad Hemmati, M. Charmi, Maryam Moghadam, M. Firouzmand, Yadollah Ghorbani
{"title":"Cuff-Less Blood Pressure Estimation Using Only the ECG Signal in Frequency Domain","authors":"Seyedeh Somayyeh Mousavi, Mohammad Hemmati, M. Charmi, Maryam Moghadam, M. Firouzmand, Yadollah Ghorbani","doi":"10.1109/ICCKE.2018.8566583","DOIUrl":null,"url":null,"abstract":"The relationship between the heart's electrical and mechanical activities is expressed by Mechano-Electric Coupling (MEC) term, and blood pressure (BP) is the output of these activities. Electrocardiogram (ECG) is a representation of heart's electrical activity. Previous studies show that there is a nonlinear relationship between the ECG signal and BP values. This paper presents a new algorithm for estimating BP using only the ECG signal and without any cuff. A new feature vector extraction method in the frequency domain, called the frequency whole-based method, is proposed. According to the British Hypertension Society (BHS) standards, the proposed algorithm achieves grade B for the Diastolic Blood Pressure (DBP) and grade C for Mean Atrial Blood Pressure (MAP) estimations on MIMIC II dataset.","PeriodicalId":283700,"journal":{"name":"2018 8th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 8th International Conference on Computer and Knowledge Engineering (ICCKE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCKE.2018.8566583","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
The relationship between the heart's electrical and mechanical activities is expressed by Mechano-Electric Coupling (MEC) term, and blood pressure (BP) is the output of these activities. Electrocardiogram (ECG) is a representation of heart's electrical activity. Previous studies show that there is a nonlinear relationship between the ECG signal and BP values. This paper presents a new algorithm for estimating BP using only the ECG signal and without any cuff. A new feature vector extraction method in the frequency domain, called the frequency whole-based method, is proposed. According to the British Hypertension Society (BHS) standards, the proposed algorithm achieves grade B for the Diastolic Blood Pressure (DBP) and grade C for Mean Atrial Blood Pressure (MAP) estimations on MIMIC II dataset.