AIMC Topic: Cardiography, Impedance
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Classification of impedance cardiography dZ/dt complex subtypes using pattern recognition artificial neural networks.
Biomedizinische Technik. Biomedical engineering
Jun 24, 2021
In impedance cardiography (ICG), the detection of dZ/dt signal (ICG) characteristic points, especially the X point, is a crucial step for the calculation of hemodynamic parameters such as stroke volume (SV) and cardiac output (CO). Unfortunately, for...
Estimation of echocardiogram parameters with the aid of impedance cardiography and artificial neural networks.
Artificial intelligence in medicine
Mar 8, 2019
The advent of cardiovascular diseases as a disease of mass catastrophy, in recent years is alarming. It is expected to spread as an epidemic by 2030. Present methods of determining the health of one's heart include doppler based echocardiogram, MDCT ...
Beat-to-beat estimation of stroke volume using impedance cardiography and artificial neural network.
Medical & biological engineering & computing
Nov 18, 2017
Impedance cardiography is a low-cost noninvasive technique, based on monitoring of the thoracic impedance, for estimation of stroke volume (SV). Impedance cardiogram (ICG) is the negative of the first derivative of the impedance signal. A technique f...
Machine learning-based blood pressure estimation using impedance cardiography data.
Acta physiologica (Oxford, England)
Feb 1, 2025
OBJECTIVE: Accurate blood pressure (BP) measurement is crucial for the diagnosis, risk assessment, treatment decision-making, and monitoring of cardiovascular diseases. Unfortunately, cuff-based BP measurements suffer from inaccuracies and discomfort...
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