Webinar #5: “Multi-modal Physiological Signal Analysis for Freezing of Gait in Parkinson’s Disease” by Ying Wang (Donders Institute)
JUNE 26, 2020, 16:00 CEST | by Ying Wang, MSc
The fifth webinar is a talk from PhD candidate Ying Wang MSc. Her talk will be about multi-modal physiological Signal Analysis for Freezing of Gait in Parkinson’s Disease. The webinar will be on June 26, 16:00 CEST. Register now!
About the talk
Freezing of gait is a common clinical symptom in advanced Parkinson’s Disease and described by patients as a feeling of being glued to the floor. Frequent freezing episodes with associated physical and psycho-social consequences (e.g. a bone fracture, a head injury, and fear of falling) has a huge impact on patients’ life quality. Therefore, a real-time accurate monitoring system is desirable to help patients overcome freezing episodes.
In this webinar, we will present the characteristics of freezing episodes using multi-modal physiological signals for eye movements, brain, heart, motion, and gait activity, and remark the modalities strongly associated with freezing episodes. In addition, we will discuss the performances of a freezing monitoring system using multi-modal physiological signals.
About the speaker
Ying Wang, MSc. is a PhD student of Donders Institute, Radboud University, Eindhoven University of Technology, and Kempenhaeghe Research Center in the Netherlands. Her current project, “BrainWave”, aims at 24/7 seizure detection in Epilepsy and freezing of gait detection and prediction in Parkinson’s disease using physiological signal analysis.
References
- Wang, Y., Beuving, F., Nonnekes, J., Cohen, M., Long, X., Aarts, R., & Van Wezel, R. (2020). Freezing of gait detection via multimodal signal analysis. Accepted by 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
About the TMSi Webinar series Expert Talks
TMSi organizes several webinars in the coming period on various applications. The webinars are free of charge and cover a variety of applications you can research using TMSi systems. You may expect talks on a variety of topics, such as clinical applications for high density EMG and EEG. We will announce the talks via our LinkedIn page and website. Registration is free and each session will consist of approximately 30 minutes presentation and 15 minutes discussion, for a total of 45 minutes.
