Ballistocardiography General: Registration of Human Body Movements
General ballistocardiography (BCG) is a method of measuring cardiac activity that uses recording of movements of the entire human body. This method allows you to obtain information about the work of the heart without the use of electrodes or other devices that are usually used in electrocardiography.
BCG is based on the fact that each heartbeat causes small vibrations throughout the human body. These vibrations can be recorded using highly sensitive sensors that are located on a special platform on which a person stands or lies.
During the BCG procedure, the patient can be in a standing or lying position. After the patient takes the desired position, sensors begin to record the movements of his body caused by heart contractions. This data is then analyzed using a computer program that can determine various parameters of cardiac activity.
One of the main advantages of BCG is that this method does not require any invasive procedures and does not cause discomfort to the patient. In addition, BCG can be used to assess cardiac activity in patients who are unable to perform standard exercise tests on a treadmill or ergometer.
BCG can also be useful in diagnosing various heart diseases, such as heart rhythm disorders, coronary heart disease and other pathologies. In addition, BCG can be used to monitor the effectiveness of treatment and assess the dynamics of the disease.
In conclusion, general ballistocardiography is a reliable and non-invasive method for assessing cardiac activity, which can be used to diagnose and monitor various cardiac diseases. BCG allows you to obtain information about the work of the heart without the use of electrodes or other devices, which makes this method especially attractive for patients.
Ballisto cardiography - general information content is generally sufficient, but the accuracy is low. As technology has advanced, the ballista has been evaluated with different types of sensors and ECG imaging capabilities. Research has revealed various challenges: comparing ECG with body movement, interpreting ECG data to detect atrial fibrillation or irregular heart rhythm, and abnormal chest and cardiac mechanics