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Ekaterina Bril
ORCID
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 6
Top Topics
Wearable Sensors
Top Venues
IEEE Trans. Instrum. Meas.
I2MTC
Internet Things
PervasiveHealth
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Publications
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Mohammed Hammoud
,
Aleksei Shcherbak
,
Melaku N. Getahun
,
Olga Istrakova
,
Nataliya Shindryaeva
,
Olga Zimniakova
,
Ekaterina Bril
,
Maxim Semenov
,
Anna Baldycheva
,
Andrey Somov
Wearable Sensors and Machine Learning Fusion for Parkinson's Disease Assessment.
I2MTC
(2024)
Aleksei Shcherbak
,
Ekaterina Kovalenko
,
Ekaterina Bril
,
Anna Baldycheva
,
Andrey Somov
Dominant Hand Invariant Parkinson's Disease Detection Using 1-D CNN Model and STFT-based IMU Data Fusion.
ISIE
(2023)
Mohammed Hammoud
,
Ekaterina Kovalenko
,
Andrey Somov
,
Ekaterina Bril
,
Anna Baldycheva
Deep learning framework for neurological diseases diagnosis through near-infrared eye video and time series imaging algorithms.
Internet Things
24 (2023)
Aleksandr Talitckii
,
Ekaterina Kovalenko
,
Aleksei Shcherbak
,
Anna Anikina
,
Ekaterina Bril
,
Olga Zimniakova
,
Maxim Semenov
,
Dmitry V. Dylov
,
Andrey Somov
Comparative Study of Wearable Sensors, Video, and Handwriting to Detect Parkinson's Disease.
IEEE Trans. Instrum. Meas.
71 (2022)
Aleksandr Talitckii
,
Anna Anikina
,
Ekaterina Kovalenko
,
Aleksei Shcherbak
,
Oscar Mayora
,
Olga Zimniakova
,
Ekaterina Bril
,
Maxim Semenov
,
Dmitry V. Dylov
,
Andrey Somov
Defining Optimal Exercises for Efficient Detection of Parkinson's Disease Using Machine Learning and Wearable Sensors.
IEEE Trans. Instrum. Meas.
70 (2021)
Aleksandr Talitckii
,
Anna Anikina
,
Ekaterina Kovalenko
,
Oscar Mayora
,
Venet Osmani
,
Olga Zimniakova
,
Maxim Semenov
,
Ekaterina Bril
,
Dmitry V. Dylov
,
Andrey Somov
Data-Driven Analysis of Parkinson's Disease and its Detection at an Early Stage.
PervasiveHealth
(2020)