| Distinguishing between Parkinson’s disease and essential tremor through video analytics using machine learning: A pilot study E Kovalenko, A Talitckii, A Anikina, A Shcherbak, O Zimniakova, ... IEEE Sensors Journal 21 (10), 11916-11925, 2020 | 7 | 2020 |
| Avoiding misdiagnosis of Parkinson’s disease with the use of wearable sensors and artificial intelligence A Talitckii, E Kovalenko, A Anikina, O Zimniakova, M Semenov, E Bril, ... IEEE Sensors Journal 21 (3), 3738-3747, 2020 | 6 | 2020 |
| Defining Optimal Exercises for Efficient Detection of Parkinson’s Disease Using Machine Learning and Wearable Sensors A Talitckii, A Anikina, E Kovalenko, A Shcherbak, O Mayora, ... IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2021 | 2 | 2021 |
| Data-Driven Analysis of Parkinson's Disease and its Detection at an Early Stage A Talitckii, A Anikina, E Kovalenko, O Mayora, V Osmani, O Zimniakova, ... Proceedings of the 14th EAI International Conference on Pervasive Computing …, 2020 | 1 | 2020 |
| Comparative Study of Wearable Sensors, Video, and Handwriting to Detect Parkinson’s Disease A Talitckii, E Kovalenko, A Shcherbak, A Anikina, E Bril, O Zimniakova, ... IEEE Transactions on Instrumentation and Measurement, 2022 | | 2022 |
| Decentralized Autofocusing System with Hierarchical Agents A Anikina, OY Rogov, DV Dylov arXiv preprint arXiv:2108.12842, 2021 | | 2021 |
