| A smartphone-based system to quantify dexterity in Parkinson's disease patients S Aghanavesi, D Nyholm, M Senek, F Bergquist, M Memedi Informatics in Medicine Unlocked 9, 11-17, 2017 | 52 | 2017 |
| Motion sensor-based assessment of Parkinson's disease motor symptoms during leg agility tests: results from levodopa challenge S Aghanavesi, F Bergquist, D Nyholm, M Senek, M Memedi IEEE journal of biomedical and health informatics 24 (1), 111-119, 2019 | 27 | 2019 |
| Verification of a method for measuring Parkinson’s disease related temporal irregularity in spiral drawings S Aghanavesi, M Memedi, M Dougherty, D Nyholm, J Westin Sensors 17 (10), 2341, 2017 | 27 | 2017 |
| A multiple motion sensors index for motor state quantification in Parkinson's disease S Aghanavesi, J Westin, F Bergquist, D Nyholm, H Askmark, ... Computer Methods and Programs in Biomedicine 189, 105309, 2020 | 14 | 2020 |
| A method for measuring Parkinson's disease related temporal irregularity in spiral drawings M Memedi, S Aghanavesi, J Westin 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2016 | 13 | 2016 |
| A review of Parkinson’s disease cardinal and dyskinetic motor symptoms assessment methods using sensor systems S Aghanavesi, J Westin Internet of Things Technologies for HealthCare: Third International …, 2016 | 7 | 2016 |
| Feasibility of using dynamic time warping to measure motor states in Parkinson’s disease S Aghanavesi, H Fleyeh, M Dougherty Journal of Sensors 2020, 1-14, 2020 | 2 | 2020 |
| Comparing Machine Learning Estimation of Fuel Consumption of Heavy-duty Vehicles V Bodell, LE om, S Aghanavesi 22th International Conference on Advancements in Vehicle Engineering and …, 2020 | 2 | 2020 |
| Smartphone-based Parkinson’s disease symptom assessment S Aghanavesi Dalarna University, 2017 | 2 | 2017 |
| Measuring temporal irregularity in spiral drawings of patients with Parkinson’s disease S Aghanavesi, M Memedi, J Westin 21st International Congress of Parkinson's Disease and Movement Disorders …, 2017 | 2 | 2017 |
| A partial least-squares regression model to measure Parkinson’s disease motor states using smartphone data M Memedi, S Aghanavesi | 1 | 2020 |
| Feasibility of a multi-sensor data fusion method for assessment of Parkinson's disease motor symptoms M Memedi, S Aghanavesi, D Nyholm, F Bergquist, M Senek Movement Disorders 33, S513-S513, 2018 | 1 | 2018 |
| Feasibility of a multi-sensor data fusion method for assessment of Parkinson’s disease motor symptoms S Aghanavesi, B Filip, D Nyholm, M Senek, M Memedi International Congress of Parkinson’s Disease and Movement Disorders (MDS …, 2018 | 1 | 2018 |
| Objective assessment of Parkinson’s disease motor symptoms during leg agility test using motion sensors S Aghanavesi, F Bergquist, D Nyholm, M Senek, M Memedi International Congress of Parkinson’s Disease and Movement Disorders (MDS …, 2018 | 1 | 2018 |
| Objective quantification of Parkinson's disease upper limb motor timing variability using spirography M Memedi, S Aghanavesi, J Westin 37th Annual International Conference of the IEEE Engineering in Medicine and …, 2015 | 1 | 2015 |
| Acknowledgment to Reviewers of Medicines in 2020 A Adhikari-Devkota, E Costantini, S Aghanavesi, B Criado, F Alconchel, ... | | 2021 |
| Sensor-based knowledge-and data-driven methods: A case of Parkinson’s disease motor symptoms quantification S Aghanavesi Dalarna University, 2020 | | 2020 |
| Feasibility of using smartphones for quantification of Parkinson’s disease motor states during hand rotation tests S Aghanavesi, H Fleyeh, M Memedi, M Dougherty 41st International Engineering in Medicine and Biology Conference, Berlin …, 2019 | | 2019 |
| A multimodal sensor fusion platform for objective assessment of motor states in Parkinson's disease M Memedi, S Aghanavesi, F Bergquist, D Nyholm, M Senek IEEE Conference on Biomedical and Health Informatics 2019, Chicago, IL, USA …, 2019 | | 2019 |
| Unsupervised Learning from Motion Sensor Data to Assess the Condition of Patients with Parkinson’s Disease T Matić, S Aghanavesi, M Memedi, D Nyholm, F Bergquist, V Groznik, ... Artificial Intelligence in Medicine: 17th Conference on Artificial …, 2019 | | 2019 |
