Ekaterina Fedotova

According to our database, Ekaterina Fedotova authored at least 7 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Machine Learning-Based Comparison of 2-D and 3-D Approaches for Parkinson's Disease Detection via Hand Movement Analysis.

Anastasia Moshkova, Maksim I. Polguev, Diana D. Kubinskaya, Margarita Ershova, Ekaterina Ivanova, Ekaterina Fedotova, Olga V. Nikiforova, Natalia Voinova, Alexander Volkov, Stanislav Yurchenko, Sergey N. Illarioshkin, Andrey V. Samorodov, Mikhael A. Piradov

IEEE Access, 2026

2025

Early Detection of Parkinson's Disease Through a Combination of Facial Expression and Hand Movements and Asymmetry-Related Features Using Machine Learning.

Anastasia Moshkova, Margarita Ershova, Ekaterina Ivanova, Ekaterina Fedotova, Natalia Voinova, Alexander Volkov, Maxim I. Polguev, Diana D. Kubinskaya, Stanislav Yurchenko, Sergey N. Illarioshkin, Andrey V. Samorodov, Mikhael A. Piradov

IEEE Access, 2025

2022

Assessment of Parkinson's Disease Severity based on Automatic Analysis of Facial Expressions and Motor Activity of the Hands.

Anastasia Moshkova, Andrey V. Samorodov, Ekaterina Ivanova, Margarita Ershova, Ekaterina Fedotova

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

2021

Studying Facial Activity in Parkinson's Disease Patients Using an Automated Method and Video Recording.

Anastasia Moshkova, Andrey V. Samorodov, Natalia Voinova, Alexander Volkov, Ekaterina Ivanova, Ekaterina Fedotova

Proceedings of the 28th Conference of Open Innovations Association, 2021

2020

Facial Emotional Expression Assessment in Parkinson's Disease by Automated Algorithm Based on Action Units.

Anastasia Moshkova, Andrey V. Samorodov, Natalia Voinova, Alexander Volkov, Ekaterina Ivanova, Ekaterina Fedotova

Proceedings of the 27th Conference of Open Innovations Association, 2020

Parkinson's Disease Detection by Using Machine Learning Algorithms and Hand Movement Signal from LeapMotion Sensor.

Anastasia Moshkova, Andrey V. Samorodov, Natalia Voinova, Alexander Volkov, Ekaterina Ivanova, Ekaterina Fedotova

Proceedings of the 26th Conference of Open Innovations Association, 2020

2019

A Deep Learning Approach to Recognition of the Atmospheric Circulation Regimes.

Victor Luferov, Ekaterina Fedotova

Proceedings of the Progress in Computer Recognition Systems, 2019