Ewaryst Tkacz
Research Bibliography
Publicly available signal databases containing seismocardiographic signals — the state in early 2023
This study highlights the limited availability of SCG signal databases, which are crucial for advancing heart monitoring research. It identifies gaps in gender balance and disease representation in existing datasets.
Heart Rate Variability Analysis on Electrocardiograms, Seismocardiograms and Gyrocardiograms of Healthy Volunteers and Patients with Valvular Heart Diseases
This study shows that heart vibrations measured by chest sensors (SCG and GCG) can reliably track heart rate variability, even in patients with heart valve diseases, offering a simpler alternative to traditional ECG tests.
Heartbeat Detection in Seismocardiograms with Semantic Segmentation
This study shows that a deep learning model can accurately detect heartbeats from chest vibrations, offering a promising alternative to traditional ECG-based methods for heart monitoring.
Comparison of Heart Rate Variability Indices Based on Seismocardiograms from Healthy Volunteers and Patients with Valvular Heart Diseases
This research shows that heart vibrations measured from the chest can help detect differences in heart rate patterns between healthy people and those with heart valve diseases, offering a new way to monitor heart health outside clinics.
Heart Rate Variability Analysis on Electrocardiograms, Seismocardiograms and Gyrocardiograms on Healthy Volunteers
This study shows that heart vibrations measured with simple sensors can reliably track heart rate variability, even in patients with heart valve diseases, making heart monitoring more accessible and affordable.
Heart Rate Variability Analysis on Reference Heart Beats and Detected Heart Beats of Smartphone Seismocardiograms
This study shows that smartphones can accurately measure heart rate variability using chest vibrations, paving the way for affordable heart monitoring at home.