Data-Driven Analysis of Parkinson's Disease and its Detection at an Early Stage. - Aleksandr Talitckii; Anna Anikina; Ekaterina Kovalenko; Oscar Mayora; Venet Osmani; Olga Zimniakova; Maxim Semenov; Ekaterina Bril; Dmitry V. Dylov; Andrey Somov (PervasiveHealth, 2020)

Defining Optimal Exercises for Efficient Detection of Parkinson's Disease Using Machine Learning and Wearable Sensors. - Aleksandr Talitckii; Anna Anikina; Ekaterina Kovalenko; Aleksei Shcherbak; Oscar Mayora; Olga Zimniakova; Ekaterina Bril; Maxim Semenov; Dmitry V. Dylov; Andrey Somov (IEEE Trans. Instrum. Meas., 2021)

Comparative Study of Wearable Sensors, Video, and Handwriting to Detect Parkinson's Disease. - Aleksandr Talitckii; Ekaterina Kovalenko; Aleksei Shcherbak; Anna Anikina; Ekaterina Bril; Olga Zimniakova; Maxim Semenov; Dmitry V. Dylov; Andrey Somov (IEEE Trans. Instrum. Meas., 2022)

Dominant Hand Invariant Parkinson's Disease Detection Using 1-D CNN Model and STFT-based IMU Data Fusion. - Aleksei Shcherbak; Ekaterina Kovalenko; Ekaterina Bril; Anna Baldycheva; Andrey Somov (ISIE, 2023)

Deep learning framework for neurological diseases diagnosis through near-infrared eye video and time series imaging algorithms. - Mohammed Hammoud; Ekaterina Kovalenko; Andrey Somov; Ekaterina Bril; Anna Baldycheva (Internet Things, 2023)

Wearable Sensors and Machine Learning Fusion for Parkinson's Disease Assessment. - Mohammed Hammoud; Aleksei Shcherbak; Melaku N. Getahun; Olga Istrakova; Nataliya Shindryaeva; Olga Zimniakova; Ekaterina Bril; Maxim Semenov; Anna Baldycheva; Andrey Somov (I2MTC, 2024)

Wrist-Worn Sensors and Machine Learning for Parkinson's Disease Detection: Investigation of Binary and Multiclassification Problem. - Mohammed Hammoud; Aleksei Shcherbak; Olga Istrakova; Nataliya Shindryaeva; Ekaterina Bril; Roberto Passerone; Andrey Somov (IEEE Trans. Instrum. Meas., 2025)