Five papers are going to be presented at EMBC covering ongoing work associated with closed-loop deep brain stimuilation (DBS) for Parkinson’s Disease and Essential Tremor, automated movement disorder symptom assessment techniques using mobile applications, and sleep stage classification based on invasive electrocorticography signals in epilepsy patients. Congratulations to all the students at University of Washington and our collaborators at Stanford who wrote these papers that were accepted to EMBC!

S. Cooper, B. Ferleger, A. Ko, J. Herron, H. Chizeck, “Rebound effect in deep brain stimulation for essential tremor and symptom severity estimation from neural data”

B. Ferleger, K. Sonnet, T. Morriss, A. Ko, H. Chizeck, J. Herron, “A tablet- and mobile-based application for remote diagnosis and analysis of movement disorder symptoms”

S. Sun, L. Jiang, S. Peterson, J. Herron, K. Weaver, A. Ko, J. Ojemann, R. Rao, “Unsupervised Sleep and Wake State Identification in Long-Term Neural Recordings”

J. O’Day, Y. Kehnemouyi, M. Petrucci, R. Anderson, J. Herron, H. Bronte-Stewart, “Demonstration of Kinematic-Based Closed-Loop Deep Brain Stimulation for Mitigating Freezing of Gait in People with Parkinson’s Disease”

M. Petrucci, R. Anderson, J. O’Day, Y. Kehnemouyi, J. Herron, H. Bronte-Stewart, “A Closed-Loop Deep Brain Stimulation Approach for Mitigating Burst Durations in People with Parkinson’s Disease”