The work in our laboratory is focused on determining mechanisms of arrhythmic activity in the ventricles of the heart, neural control of cardiovascular regulation and development of image processing and machine learning tools for high throughput analysis of histologic images. Recent and ongoing studies include investigation of cardiovascular-brain interactions while listening to music; improving specificity in the use of T wave alternans in ECGs to predict risk of adverse cardiac electrical events (in collaboration with Dr. Anaya from the Division of Cardiovascular Medicine); and development of image processing tools and mathematical models for furthering our understanding of biology of T Gondii, a common infectious parasite (in collaboration with Dr. Sinai from the Department of Microbiology Immunology and Molecular Genetics).
Cardiac Rhythm Lab
Research
The engineering tools that are routinely used in the laboratory include mathematical modeling, developing and implementing signal and image processing algorithms, and machine learning.
Current Projects
Advanced image processing and object classification for study of T Gondii parasite.
Our group develops image processing and object classification algorithms to process and extract information from microscopic images to aid in the understanding of Toxoplasma gondii biology in a collaborative project with Dr. Anthony Sinai (https://microbiology.med.uky.edu/users/sinai). The tools that are developed are used to process images of tissue cyst from brains of infected mice stained for various cellular structures by Dr. Sinai’s group. Features of detected subcellular objects are used in machine learning approaches to classify the subcellular objects into different categories which will aid in furthering the understanding of the parasite’s chronic phase growth and how the parasite evades treatments. Current development is focused on classification of sub-cellular entities. These classifications will be used to obtain metabolic markers of parasite growth. These markers will then be incorporated into a modeling framework to predict growth trajectories.
Publications
Publications for the Cardiac Rhythm Lab can be found on the Google Scholar link below.
People
Recent Graduates
Recent Graduates
PhD:
Dibyajyoti Biswal
Javad Mollakazemi
MS:
Amer Asiri
Brooke Place
Sahar Alaei