Deep Learning Pose Estimation model for Parkinsonism and Levodopa-Induced Dyskinesia
This research project utilized a Deep Learning Classification Model to design an algorithm for the detection of pathological motion, whether Parkinson’s or dyskinesia, and the prediction of the clinical rating of Parkinson’s or dyskinesia severity based on movement features.
Posted by buchanle on Tuesday, April 30th, 2024 in May 2024, Levodopa-induced dyskinesia, Parkinson’s disease, Unified Dyskinesia Rating Scale, Unified Parkinson’s Disease Rating Scale
Automating Human Sleep Staging Analysis from Polsomnographic Recordings with a Discrete Hidden Markov Predictive Model
This research project utilized a Discrete Hidden Markov Model to design an algorithm capable of completing human sleep staging analy-sis without the need for a human technician.
Posted by John Lee on Tuesday, May 30th, 2023 in May 2023, Hidden Markov model, polysomnography., sleep staging analysis