Cardiac Activity Based on Acoustic Signal Properties

The in uence of sleeping conditions on human health and well-being is now fully understood, but still underestimated. Sleep disorders e.g. snoring, wheezing or sleep apnea are widespread among people of all ages, although prevalent amidst the male population, obese people with a high value of BMI, people who su ered a stroke, have hypertension or other heart diseases. Medical support is needed in order to ensure a good night's sleep for patients su ering from sleep disorders. Sleep monitoring is also very important in case of emergencies. This research was aimed at nding a correlation between sleep disorders represented by acoustic signals and heart activity parameters. The measurement of breathing through simultaneously acquired acoustic and ECG signals is used to quantify the respiratory obstruction during sleep. The information collected by synchronized recording of acoustic e ects and the ECG signal partly overlaps, giving an opportunity to improve accuracy of measurement. Results indicate that the aspect of sleep analysis can be extended using this method. The information collected by simultaneous recording of acoustic e ects and the ECG signal is provided and the results are described.