Detection of characteristic points of impedance cardiogram and validation using Doppler echocardiography

Naidu, Som; Bagal, Uttam R.; Pandey, Prem C.; Hardas, Suhas; Khambete, Niranjan D.

doi:10.1109/indicon.2014.7030596

Cited by 9 publications

(10 citation statements)

References 28 publications

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“…The feature points B, C, X (Fig. 1) were determined by a very simple algorithm [12]: C as maximum (extremum over ca 50% of the peak value threshold), B as the first zero-crossing to the "left" from the C and X as the global minimum between two C points. The Z, dZ/dt and ECG with estimated B, C, X points of ICG (on dZ/dt plots) are shown in Fig.…”

Section: Measurement Results and Initial Evaluationmentioning

confidence: 99%

Study of Electrode Locations for Joint Acquisition of Impedance- and Electro-cardiography Signals

Metshein

Gautier

Frappé

et al. 2021

2021 43rd Annual International Conference of the IEEE Engineering in Medicine &Amp; Biology Society (EMBC)

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Section: Measurement Results and Initial Evaluationmentioning

confidence: 99%

Study of Electrode Locations for Joint Acquisition of Impedance- and Electro-cardiography Signals

Metshein

Gautier

Frappé

et al. 2021

2021 43rd Annual International Conference of the IEEE Engineering in Medicine &Amp; Biology Society (EMBC)

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“…In numerous studies wavelet transform were used in order to detect characteristic points. A common feature of these methods is the need for synchronisation of the analyzed rheogram with the ECG signals, echocardiographic or phonocardiogram [ 21 , 22 , 23 ].…”

Section: Methodsmentioning

confidence: 99%

Advanced Computing Methods for Impedance Plethysmography Data Processing

Khoma

Kenyo

Kawala-Sterniuk

2022

Sensors

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In this paper we are introducing innovative solutions applied in impedance plethysmography concerning improvement of the rheagraph characteristics and the efficiency increase of the developing rheograms using computer methods. The described methods have been developed in order to ensure the stability of parameters and to extend the functionality of the rheographic system based on digital signal processing, which applies to the compensation of the base resistance with a digital potentiometer, digital synthesis of quadrature excitation signals and the performance of digital synchronous detection. The emphasis was put on methods for determination of hemodynamic parameters by computer processing of the rheograms. As a result–three methods for respiratory artifacts elimination have been proposed: based on the discrete cosine transform, the discrete wavelet transform and the approximation of the zero line with spline functions. Additionally, computer methods for physiological indicators determination, including those based on wavelet decomposition, were also proposed and described in this paper. The efficiency of various rheogram compression algorithms was tested, evaluated and presented in this work.

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“…Alternatively the B-point has been suggested to take as some local minimum [2] further left from the zero-crossing ("below the zero"), so giving little bit increased value for LVET interval (and related CO and SV values). As another alternative, it has been proposed to move the B-point by applying instead of zero-crossing the crossing at the 15% level between the base-line (close to zero, in practice) and peak value [11].…”

Section: Possible Algorithms To Extract the Key Points Of Icgmentioning

confidence: 99%

Fiducial Point Estimation Solution for Impedance Cardiography Measurements

Märtens

Metshein

Abdullayev

et al. 2022

2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

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ICG (impedance cardiography) is in parallel to ECG (electrocardiography) an important indicator of the functioning of the heart and of the overall cardiovascular system. Adding the ICG to ECG measurement functionality into the wearable devices improves the quality of health monitoring, as the ICG reflects relevant hemodynamic parameters (informative time intervals, but also the stroke volume and cardiac output and their variability). The most challenging task of the ICG signal processing is to extract the key points B, C, X of the cardiac periodstart, peak-location, and value at this point and the end of the LVET (left ventricular ejection time) sub-period in the cardiac cycle. A novel block diagram and analog implementation of it has been proposed, analyzed, and discussed, with discussion of the benefits of the proposed solution. The proposed solution enables developing of relatively simple very power-efficient solutions, monitoring the ICG values of the person with smart and efficient data acquisition and processing.

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Detection of characteristic points of impedance cardiogram and validation using Doppler echocardiography

Cited by 9 publications

References 28 publications

Study of Electrode Locations for Joint Acquisition of Impedance- and Electro-cardiography Signals

Study of Electrode Locations for Joint Acquisition of Impedance- and Electro-cardiography Signals

Advanced Computing Methods for Impedance Plethysmography Data Processing

Fiducial Point Estimation Solution for Impedance Cardiography Measurements

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