Detailed Analysis of the Luria's Alternating SeriesTests for Parkinson's Disease Diagnostics

• Published in: 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) pp. 1347 - 1352
• Main Authors: Nomm, Sven, Bardos, Konstantin, Toomela, Aaro, Medijainen, Kadri, Taba, Pille
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2018
• Subjects: Acceleration; Data processing; Diseases; Feature extraction; healthy control subjects; Image edge detection; Kinematics; learning (artificial intelligence); Luria alternating series test; machine learning; medical computing; medical disorders; motor motions; neurology; neurophysiology; Object segmentation; Parkinson disease patients; Parkinson's disease; psychology; reference shape; severe neurologic disorder; stylus; tablet computer; Testing

Patterns drawn by the patients during digital Luria's alternating series tests are analysed in this paper to support diagnostics of the Parkinson's disease. There are two main components that distinguish the approach proposed in this paper. The first one is the application of digital Luria...