Automatic Spiral Analysis for Objective Assessment of Motor Symptoms in Parkinson's Disease. - Mevludin Memedi; Aleksander Sadikov; Vida Groznik; Jure Zabkar; Martin Mozina; Filip Bergquist; Anders Johansson; Dietrich Haubenberger; Dag Nyholm (Sensors, 2015)

Using measurements from wearable sensors for automatic scoring of Parkinson's disease motor states: Results from 7 patients. - Ilias Thomas; Filip Bergquist; Radu Constantinescu; Dag Nyholm; Marina Senek; Mevludin Memedi (EMBC, 2017)

A Treatment-Response Index From Wearable Sensors for Quantifying Parkinson's Disease Motor States. - Ilias Thomas; Jerker Westin; Moudud Alam; Filip Bergquist; Dag Nyholm; Marina Senek; Mevludin Memedi (IEEE J. Biomed. Health Informatics, 2018)

Unsupervised Learning from Motion Sensor Data to Assess the Condition of Patients with Parkinson's Disease. - Teodora Matic; Somayeh Aghanavesi; Mevludin Memedi; Dag Nyholm; Filip Bergquist; Vida Groznik; Jure Zabkar; Aleksander Sadikov (AIME, 2019)

A multiple motion sensors index for motor state quantification in Parkinson's disease. - Somayeh Aghanavesi; Jerker Westin; Filip Bergquist; Dag Nyholm; Håkan Askmark; Sten Magnus Aquilonius; Radu Constantinescu; Alexander Medvedev; Jack Spira; Fredrik Ohlsson; Ilias Thomas; Anders Ericsson; et al. (Comput. Methods Programs Biomed., 2020)

Motion Sensor-Based Assessment of Parkinson's Disease Motor Symptoms During Leg Agility Tests: Results From Levodopa Challenge. - Somayeh Aghanavesi; Filip Bergquist; Dag Nyholm; Marina Senek; Mevludin Memedi (IEEE J. Biomed. Health Informatics, 2020)