Research and Tools

Current Research

ECG and Cardiac sound

I work on Electrocardiogram (ECG) and Phonocardiogram (PCG)  analysis in order to prepare automatic diagnosis for Cardiovascular disease (CVD).  ECG is analyzed main components of the signal, such as P, QRS, and T waves.  The shapes and duration of these components indicate cardiac conditions.  Similarly, cardiac sound or PCG has significance in terms of diagnostic values. Some of the indication can only be given PCG than other cardiac signals, for instance presence of heart murmur reveals that there is a problem with cardiac structure. 

The main tasks in a PCG analysis are following: removal of non-cardiac sounds from recorded PCG during auscultation, segmentation of the sound components, identification of components, e.g. systolic sound (S1), diastolic sound (S2), third heart sound (S3), fourth heart sound (S4) or murmur.

EEG signal (brain wave)

Condition monitoring

Signal processing

Machine learning

Past Research

Seismology

Transmission pricing and wheeling charges estimation