Cuff-Less Blood Pressure Estimation Using Only the ECG Signal in Frequency Domain

被引:0
作者
Mousavi, Seyedeh Somayyeh [1 ]
Hemmati, Mohammad [1 ]
Charmi, Mostafa [1 ]
Moghadam, Maryam [2 ]
Firouzmand, Mohammad [3 ]
Ghorbani, Yadollah [4 ]
机构
[1] Univ Zanjan, Dept Elect Engn, Zanjan, Iran
[2] Amirkabir Univ Technol, Dept Biomed Engn, Tehran Polytech, Tehran, Iran
[3] IROST, Dept Biomed Engn, Tehran, Iran
[4] Zanjan Univ Med Sci, Med Phys Valiasr Hosp, Zanjan, Iran
来源
2018 8TH INTERNATIONAL CONFERENCE ON COMPUTER AND KNOWLEDGE ENGINEERING (ICCKE) | 2018年
关键词
Electrocardiograph; Blood pressure; Cuff-less; Whole-based; Mechano-Electric Coupling (MEC);
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:147 / 152
页数:6
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