Lectures related to Cardiac monitoring

Covers the analysis of ECG heart rate data and respiratory flow measurements using Excel.

Covers the analysis of respiratory figures and ECG heart rate data.

Explains ECG measurement, leads, and signal generation, including abnormal ECG examples.

Covers the analysis of the cardiac cycle using ECG signals.

Explores food production systems, historical context, hunger factors, and food security dimensions.

Explains the principles of HRTEM, including contrast transfer, lenses, and aberration correction.

Analyzes hydrostatic pressures in ECG using Excel tools for data visualization.

Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.