Speaker: Dr. Matthew Flood, Postdoctoral Research Fellow
University of Human Motion, Orthopaedics, Sports Medicine and Digital Methods group (HOSD) at the Luxembourg Institute of Health
When: Tuesday, May 10th at 2.30 pm
Where: Room 204, Engineering and Materials Science Centre, UCD (tea, coffee & biscuits will be available)
Zoom: (opens in a new window)https://ucd-ie.zoom.us/j/66024899047
Entropy analysis is becoming increasingly popular across a range of scientific disciplines and new methods for estimating entropy from time series or image data are continually being reported in the scientific literature. However, many studies often apply entropy incorrectly or misinterpret its meaning. Matthew’s presentation will discuss the application of entropy methods in biomedical signal analysis, with emphasis on movement and motor function. In particular, he will introduce the subject of entropy, review various entropy methods, give an overview of parameter selection, and demonstrate the functionality of EntropyHub.
Bio: Matthew Flood is a Postdoctoral Research Fellow at the Human Motion, Orthopaedics, Sports Medicine and Digital Methods group (HOSD), at the Luxembourg Institute of Health. In 2019, he completed his PhD at the Neuromuscular Systems Lab and Insight Centre for Data Analytics at UCD on subjects relating to nonlinear EMG signal processing and wearable sensor applications in Parkinson’s disease. Since then, Matthew has worked on several short-term projects including EntropyHub1,2, a personal venture to build an advanced, open-source toolkit for entropy analysis.