| Machine learning-based classification of simple drawing movements in Parkinson's disease C Kotsavasiloglou, N Kostikis, D Hristu-Varsakelis, M Arnaoutoglou Biomedical Signal Processing and Control 31, 174-180, 2017 | 185 | 2017 |
| A Smartphone-Based Tool for Assessing Parkinsonian Hand Tremor N Kostikis, D Hristu-Varsakelis, M Arnaoutoglou, C Kotsavasiloglou IEEE journal of Biomedical and Health Informatics 19 (6), 1835-1842, 2015 | 152 | 2015 |
| Smartphone-based evaluation of parkinsonian hand tremor: Quantitative measurements vs clinical assessment scores N Kostikis, D Hristu-Varsakelis, M Arnaoutoglou, C Kotsavasiloglou 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 71 | 2014 |
| Towards remote evaluation of movement disorders via smartphones N Kostikis, D Hristu-Varsakelis, M Arnaoutoglou, C Kotsavasiloglou, ... 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 52 | 2011 |
| Towards Objective Monitoring of Parkinson's Disease Motor Symptoms Using a Wearable Device: Wearability and Performance Evaluation of PDMonitor A Antonini, H Reichmann, G Gentile, M Garon, C Tedesco, A Frank, ... Frontiers in Neurology 14, 455, 2023 | 15 | 2023 |
| Accurate Monitoring of Parkinson’s Disease Symptoms With a Wearable Device During COVID-19 Pandemic KI TSAMIS, G RIGAS, K NIKOLAOS, DI FOTIADIS, S KONITSIOTIS In Vivo 35 (4), 2327-2330, 2021 | 12 | 2021 |
| Can Gait Features Help in Differentiating Parkinson’s Disease Medication States and Severity Levels? A Machine Learning Approach C Chatzaki, V Skaramagkas, Z Kefalopoulou, N Tachos, N Kostikis, ... Sensors 22 (24), 9937, 2022 | 11 | 2022 |
| Configurable Offline Sensor Placement Identification for a Medical Device Monitoring Parkinson’s Disease N Kostikis, G Rigas, S Konitsiotis, DI Fotiadis Sensors 21 (23), 7801, 2021 | 9 | 2021 |
| On-Body Sensor Position Identification with a Simple, Robust and Accurate Method, Validated in Patients with Parkinson’s Disease N Kostikis, G Rigas, N Tachos, S Konitsiotis, DI Fotiadis 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 8 | 2020 |
| Evaluating Parameters of the TUG Test Based on Data from IMU and UWB Sensors A Ntanis, N Kostikis, I Tsimperis, K Tsiouris, G Rigas, D Fotiadis 2022 18th International Conference on Wireless and Mobile Computing …, 2022 | 4 | 2022 |
| Real-world evidence and feasibility of telemedicine for Parkinson's disease G Rigas, N Kostikis, N Tachos, E Kontogiannis, E Kostoulas, A Bousis, ... MOVEMENT DISORDERS 37, S202-S203, 2022 | 1 | 2022 |
| Instrumented Detection of Fluctuations with Wearable Devices in Parkinson's Disease G Rigas, D Kakalou, N Tachos, K Tsamis, N Kostikis, A Marcante, ... MOVEMENT DISORDERS 35, S662-S662, 2020 | 1 | 2020 |
| Paradigm shift in Parkinson's disease: using continuous telemonitoring to improve symptoms control. Results from a 2-years journey S Konitsiotis, A Alexoudi, P Zikos, C Sidiropoulos, G Tagaris, ... Frontiers in Neurology 15, 1415970, 2024 | | 2024 |
| An Inertial-Based Wearable System for Monitoring Vital Signs during Sleep S Kontaxis, F Kanellos, A Ntanis, N Kostikis, S Konitsiotis, G Rigas Sensors 24 (13), 4139, 2024 | | 2024 |
| Shank Range of Motion as a Measure of Gait Impairment in TUG Test G Rigas, N Kostikis, N Tachos, K Tsamis, M Tsiknakis, S Konitsiotis, ... MOVEMENT DISORDERS 36, S568-S569, 2021 | | 2021 |
| Towards a method for accurate detection of diphasic dyskinesia K Tsamis, G Rigas, N Tachos, D Kakalou, N Kostikis, S Konitsiotis, ... MOVEMENT DISORDERS 35, S667-S668, 2020 | | 2020 |
| Test-Retest Reliability of Sensor-Based Telemonitoring of Parkinsonian Gait at Home N Kostikis, G Rigas, N Tachos, K Tsamis, D Kakalou, S Konitsiotis, ... MOVEMENT DISORDERS 35, S657-S657, 2020 | | 2020 |
| Quantification of upper limb Parkinsonian tremor using ubiquitous devices N Kostikis Πανεπιστήμιο Μακεδονίας, 2019 | | 2019 |
