Rana Zia Ur Rehman

Selecting Clinically Relevant Gait Characteristics for Classification of Early Parkinson’s Disease: A Comprehensive Machine Learning Approach

Rana Zia Ur Rehman, Silvia Del Din, Yu Guan et al. · Scientific Reports · 2019 · 144 citations · Full text

Medicine, Neurology, Machine Learning +16

Application of Wearable Inertial Sensors and A New Test Battery for Distinguishing Retrospective Fallers from Non-fallers among Community-dwelling Older People

Hai Qiu, Rana Zia Ur Rehman, Xiaoqun Yu et al. · Scientific Reports · 2018 · 84 citations · Full text

Medicine, Geriatric Medicine, Falls Prevention +14

Gait Analysis with Wearables Can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders

Rana Zia Ur Rehman, Yuhan Zhou, Silvia Del Din et al. · Sensors · 2020 · 68 citations · Full text

Medicine, Physical Medicine, Data Mining +16

Accelerometry-Based Digital Gait Characteristics for Classification of Parkinson's Disease: What Counts?

Rana Zia Ur Rehman, Christopher Buckley, M. Encarna Micó-Amigo et al. · IEEE Open Journal of Engineering in Medicine and Biology · 2020 · 61 citations · Full text

Medicine, Health Informatics, Neurology +17

Turning Detection During Gait: Algorithm Validation and Influence of Sensor Location and Turning Characteristics in the Classification of Parkinson’s Disease

Rana Zia Ur Rehman, Philipp Klocke, Sofia Hryniv et al. · Sensors · 2020 · 49 citations · Full text

Education, Neurology, Physical Medicine +17