Parametric modelling of ECG signal

1996 ◽  
Vol 34 (2) ◽  
pp. 171-174 ◽  
Author(s):  
S. Mukhopadhyay ◽  
P. Sircar
Keyword(s):  
Ecg Signal ◽  
Parametric Modelling

Study on Cuff-Less Blood Pressure Measurement Based on Electrocardiography and Photoplethysmography Signal

2019 ◽  
Vol 2 (3) ◽  
pp. 206-214
Author(s):  
Putri Indes Oktabriani ◽  
Fuad Ughi ◽  
Aulia Arif Iskandar
Keyword(s):  
Blood Pressure ◽  
Pressure Measurement ◽  
Blood Pressure Monitoring ◽  
Blood Pressure Measurement ◽  
Ecg Signal ◽  
Optimum Location ◽  
Blood Pressure Monitor ◽  
Pressure Monitor ◽  
Left Hand ◽  
Measure Blood Pressure

The continuous blood pressure measurement research is widely known for helpingthe development of ambulatory blood pressure monitoring where it measures blood pressureevery 15 to 30 minutes throughout the day. The cuff is a problem for the patient withAmbulatory Blood Pressure Monitor. It can make a person feel uncomfortable and must staystill when the cuff starts to inflate. It is limiting and disturbing their daily activity when thedevice is starting to measure the blood pressure. Blood pressure measurement without cuff isbeing proposed in this research, called cuff-less blood pressure measurement. It will be based onPhotoplethysmography (PPG) and Electrocardiography (ECG) signal analysis. ECG (Lead 1,Lead 2, and Lead 3) with PPG signal produced from index finger on the left hand are comparedand analyzed. Then the relation of PPG and ECG signal and the optimum location for daily usecan be obtained. The optimum location will be based on the electrode’s position that producedthe optimum ECG lead Signal to measure blood pressure. Based on the result, PPG and ECGsignal have a linear relation with Blood Pressure Measurement and Lead 1 is more stable inproducing the ECG signal. The equation from Lead 1 appeared as one of the optimum equationsfor measuring Systolic Blood Pressure (SBP) or Diastolic Blood Pressure (DBP).

Topological Characteristics of ECG Signal using Lyapunov Exponent and RBF Network

2011 ◽  
Vol 1 (9) ◽  
pp. 53-55
Author(s):  
Abinash Dahal ◽  
◽  
Deepashree Devaraj ◽  
Dr. N. Pradhan Dr. N. Pradhan
Keyword(s):  
Lyapunov Exponent ◽  
Ecg Signal ◽  
Rbf Network ◽  
Topological Characteristics

Study of noise suppresion in ECG signal using time domain adaptive filter

2014 ◽  
Vol 2 (3) ◽  
pp. 1-8
Author(s):  
Chinmay Chandrakar ◽  
◽  
Monisha Sharma ◽  
Keyword(s):  
Adaptive Filter ◽  
Time Domain ◽  
Ecg Signal
Sign in / Sign up

Export Citation Format

Share Document