Zbigniew Budzianowski

Improved EASI ECG model as a result of using various regression and machine learning techniques

Ewaryst Tkacz, Wojciech Oleksy, Zbigniew Budzianowski, 2013 .

Using various machine learning and regression techniques to obtain improved EASI ECG model

Ewaryst Tkacz, Wojciech Oleksy, Zbigniew Budzianowski, 2012 .

New Diagnostic Tool for Patients Suffering from Noncommunicable Diseases (NCDs)

Ewaryst Tkacz, Wojciech Oleksy, Zbigniew Budzianowski, 2018, ICITS.

Continuous representation of unevenly sampled signals - An application to the analysis of heart rate variability

Wojciech Oleksy, Zbigniew Budzianowski, Ewaryst J. Tkacz, 2011, IEEE Africon '11.

The Higher-Order Spectra (HOSA) as a Tool for the Rehabilitation Progress Estimation Referred to the Patients Diagnosed with Various Cardiac Diseases

Ewaryst Tkacz, Wojciech Oleksy, Zbigniew Budzianowski, 2018, ITIB.

An improvement of normogastric rhythm extraction from electrogastrographic (EGG) signal using independent component analysis

Zbigniew Budzianowski, Barbara T. Mika, Ewaryst J. Tkacz, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Improved EASI ECG model obtained using various machine learning and regression techniques

Ewaryst Tkacz, Wojciech Oleksy, Zbigniew Budzianowski, 2012, 2012 35th International Conference on Telecommunications and Signal Processing (TSP).

Examination of Both Sympathetic and Parasympathetic Influence for Normogastric Rhythm Extracted from Elecrogastrographic (EGG) Signal

Ewaryst Tkacz, Pawel Kostka, Zbigniew Budzianowski, 2009 .

Improving EASI ECG Method Using Various Machine Learning and Regression Techniques to Obtain New EASI ECG Model

Ewaryst Tkacz, Wojciech Oleksy, Zbigniew Budzianowski, 2012 .

The Higher-Order Spectra as a Tool for Assessing the Progress in Rehabilitation of Patients After Ischemic Brain Stroke

Ewaryst Tkacz, Wojciech Oleksy, Zbigniew Budzianowski, 2018, ICITS.