Statistical and Physiological Beat Modelling of Seismocardiogram Signal - Year 2

"Seismocardiogram (SCG) is a signal that is captured by placing an accelerometer on the human chest. This signal captures very important timing information such as opening and closing of the heart valves. In addition to these timing information, the non-invasive nature of this signal makes it an attractive solution for remote monitoring of patients with heart conditions.
The morphology of SCG signal changes depending on different types of heart conditions and diseases. A mathematical model represents the morphology of a signal in terms of certain parameters.

Automatic Delineation of Seismocardiogram and Gyrocardiogram Signals

The project aims at accomplishing the real-time delineation of both Seismocardiogram and Gyrocardiogram signals (which are associated with different stages of the cardiovascular cycle) and effectively extracting cardiac performance metrics (fiducial points) for use in a non-invasive portable diagnostic tool as the deviations of the either timing or amplitude can be indicative of abnormality in heart performance.

Statistical and Physiological Beat Modelling of Seismocardiogram Signal

"Seismocardiogram (SCG) is a signal that is captured by placing an accelerometer on the human chest. This signal captures very important timing information such as opening and closing of the heart valves. In addition to these timing information, the non-invasive nature of this signal makes it an attractive solution for remote monitoring of patients with heart conditions.
The morphology of SCG signal changes depending on different types of heart conditions and diseases. A mathematical model represents the morphology of a signal in terms of certain parameters.

Automatic Segmentation of SCG Signal for Ischemic Patients

Research has shown that by monitoring the vibration of the heart using a simple sensor mounting on the human chest, the mechanical characteristics of heart can be measured. The purpose of this research is to design software that can automatically find some important points on the SCG signal. The software will be used to find hemodynamic parameters of the heart that will be used for diagnosis of ischemic heart patients. The outcome of this project is anticipated be extremely beneficial for both academia and the company.

Segmentation of SCG Signals

Research has shown that by monitoring the vibration of the heart using a simple sensor mounting on the human chest, the mechanical characteristics of heart can be measured. The purpose of this research is to design software that can automatically find some important points on the SCG signal. The software will be used to find hemodynamic parameters of the heart that will be used for diagnosis of ischemic heart patients. The outcome of this project is anticipated be extremely beneficial for both academia and the company.

Novel Approaches for Heart Failure Screening Based on Ballistocardiograph Signals

Identifying early onset of cardiac diseases is not easy and can be very expensive. For this reason, the first symptom of cardiac problems is often catastrophic for patients. The ultimate goal of this project is to produce a low-cost screening device that effectively identifies the presence of the disease early, allowing patients to take corrective action in terms of lifestyle, diet and stress management in order to eliminate the need for surgical intervention and/or drug therapy.