معرفی
Dr Rana Rehman is a Research Fellow at Newcastle University, specializing in digital health technologies and movement disorders research. Her work focuses on developing innovative approaches using wearable sensors and machine learning algorithms to analyze gait patterns and monitor disease progression in neurodegenerative conditions, particularly Parkinson's disease.
Research Focus: Dr Rehman's primary research interests encompass digital biomarkers, gait analysis, and machine learning applications in neurodegenerative diseases. She has made significant contributions to understanding how wearable sensor data can be used to assess disease severity, predict progression, and monitor treatment outcomes in conditions such as Parkinson's disease, dementia, and other movement disorders.
Her research spans multiple domains including fatigue assessment in chronic diseases, sarcopenia monitoring in older adults, and cognitive impairment detection through movement analysis. She has developed novel algorithms for detecting specific movement patterns such as turning during gait and has validated these approaches across diverse patient populations including community-dwelling older adults and long-term care residents.
Research Trends: Dr Rehman's recent publications demonstrate a clear trajectory toward real-world digital health monitoring, with emphasis on feasibility studies and clinical validation of wearable sensor technologies. Her work increasingly integrates multi-modal sensor data combining gait parameters with physiological signals to provide comprehensive patient assessments. The progression from algorithm development (2019-2020) to clinical validation (2021-2023) and now to large-scale feasibility studies (2024-2025) illustrates her systematic approach to translational research.
Collaborative Research: Dr Rehman has established extensive collaborations with leading researchers including Professor Lynn Rochester, Dr Silvia Del Din, Professor Alison Yarnall, and international partners. Her work is frequently published in high-impact journals and she contributes to multi-center studies investigating digital health applications across neurological and geriatric populations.