Fatemeh Noushin Golabchi

Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment

Bjoern M. Eskofier, Sunghoon Ivan Lee, Jean‐François Daneault et al. · 2016 · 168 citations

Convolutional Neural Network, Engineering, Machine Learning +20

Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge

Solveig K. Sieberts, Jennifer Schaff, Marlena Duda et al. · npj Digital Medicine · 2021 · 59 citations · Full text

Assessing aberrant muscle activity patterns via the analysis of surface EMG data collected during a functional evaluation

Fatemeh Noushin Golabchi, Stefano Sapienza, Giacomo Severini et al. · BMC Musculoskeletal Disorders · 2019 · 21 citations · Full text

Estimating Bradykinesia in Parkinson's Disease with a Minimum Number of Wearable Sensors

Jean‐François Daneault, Sunghoon Ivan Lee, Fatemeh Noushin Golabchi et al. · 2017 · 20 citations

Gait Analysis, Wearable Technology, Wearable Sensors +19

A novel method for assessing the severity of levodopa-induced dyskinesia using wearable sensors

Sunghoon Ivan Lee, Jean‐François Daneault, Fatemeh Noushin Golabchi et al. · 2015 · 17 citations

Gait Analysis, Engineering, Machine Learning +22