A web application for follow-up of results from a mobile device test battery for Parkinson's disease patients. - Mevludin Memedi; Jerker Westin; Dag Nyholm; Mark Dougherty; Torgny Groth (Comput. Methods Programs Biomed., 2011)

Automatic and Objective Assessment of Alternating Tapping Performance in Parkinson's Disease. - Mevludin Memedi; Taha Khan; Peter Grenholm; Dag Nyholm; Jerker Westin (Sensors, 2013)

A Case Study in Healthcare Informatics: A Telemedicine Framework for Automated Parkinson's Disease Symptom Assessment. - Taha Khan; Mevludin Memedi; William Song; Jerker Westin (ICSH, 2014)

Visualization of Spiral Drawing Data of Patients with Parkinson's Disease. - Ilir Jusufi; Dag Nyholm; Mevludin Memedi (IV, 2014)

Mobile systems for monitoring Parkinson's disease. - Mevludin Memedi (2014)

Feasibility of Spirography Features for Objective Assessment of Motor Symptoms in Parkinson's Disease. - Aleksander Sadikov; Jure Zabkar; Martin Mozina; Vida Groznik; Dag Nyholm; Mevludin Memedi (AIME, 2015)

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)

Validity and Responsiveness of At-Home Touch Screen Assessments in Advanced Parkinson's Disease. - Mevludin Memedi; Dag Nyholm; Anders Johansson; Sven Palhagen; Thomas Willows; Hakan Widner; Jan Linder; Jerker Westin (IEEE J. Biomed. Health Informatics, 2015)

A method for measuring Parkinson's disease related temporal irregularity in spiral drawings. - Mevludin Memedi; Somayeh Aghanavesi; Jerker Westin (BHI, 2016)

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)

Feasibility of spirography features for objective assessment of motor function in Parkinson's disease. - Aleksander Sadikov; Vida Groznik; Martin Mozina; Jure Zabkar; Dag Nyholm; Mevludin Memedi; Ivan Bratko; Dejan Georgiev (Artif. Intell. Medicine, 2017)

Verification of a Method for Measuring Parkinson's Disease Related Temporal Irregularity in Spiral Drawings. - Somayeh Aghanavesi; Mevludin Memedi; Mark Dougherty; Dag Nyholm; Jerker Westin (Sensors, 2017)

A comparison of feature selection methods when using motion sensors data: a case study in Parkinson's disease. - Farrukh Javed; Ilias Thomas; Mevludin Memedi (EMBC, 2018)

A User-Centered Ethical Assessment of Welfare Technology for Elderly. - Ella Kolkowska; Isabella Scandurra; Anneli Avatare Nöu; Marie Sjölinder; Mevludin Memedi (HCI (27), 2018)

A study on pre-adoption of a self-management application by Parkinson's disease patients. - Mevludin Memedi; Joakim Lindqvist; Tobias Tunedal; Axel Duvåker (ICIS, 2018)

TapVis: A Data Visualization Approach for Assessment of Alternating Tapping Performance in Patients with Parkinson's Disease. - Ilir Jusufi; Mevludin Memedi; Dag Nyholm (EuroVis (Short Papers), 2018)

An Interface for IoT: Feeding Back Health-Related Data to Parkinson's Disease Patients. - Mevludin Memedi; Gaki Tshering; Martin Fogelberg; Ilir Jusufi; Ella Kolkowska; Gunnar O. Klein (J. Sens. Actuator Networks, 2018)

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)

Targeting Patient Empowerment via ICT interventions: An ICT-specific Analytical Framework. - Liran Karni; Mevludin Memedi; Gunnar O. Klein (AMCIS, 2019)

A systematic review of Social Internet of Things: concepts and application areas. - Gomathi Thangavel; Mevludin Memedi; Karin Hedström (AMCIS, 2019)

A Partial Least-Squares Regression Model to Measure Parkinson's Disease Motor States Using Smartphone Data. - Mevludin Memedi; Somayeh Aghanavesi (HICSS, 2020)

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)

Sensor-Based Measurement of Nociceptive Pain: An Exploratory Study with Healthy Subjects. - Mevludin Memedi; Adriana Miclescu; Lenka Katila; Marianne Claesson; Marie Essermark; Per Holm; Gunnar O. Klein; Jack Spira; Rolf Karlsten (PervasiveHealth, 2021)

Management of social isolation and loneliness in Parkinson's disease: Design principles. - Gomathi Thangavel; Mevludin Memedi; Jonas Moll; Karin Hedström (ICIS, 2023)