Estimation of respiratory signal from thoracic impedance cardiography in low electrical current

Abstract

A new method to estimate respiratory signal from thoracic impedance is proposed. To realize battery powered, wearable respiratory monitoring devices, low current impedance measurement techniques are desired. However, under low current conditions, conventional methods to separate cardiac and respiratory signals do not work well as the cardiac signal is much larger than the respiratory signal. In the proposed method, respiratory signal is estimated by calculating an envelope curve from the detected T waves of cardiac component. The results of the experiments show that the accuracy of proposed method is greater than conventional method.

Improvement of human identification accuracy by wavelet of peak-aligned ECG

“…Analysis of heart rate or ECG morphology is useful to detect heart disease. Other information related to the person's health can also be estimated from ECG, such as respiration [4], stress level [5], energy expenditure [6], activity intensity [7], and activity classification [8]. Thus, daily monitoring of ECG at home is important to assess the person's health.…”