Deep Learning Techniques for Improving Digital Gait Segmentation. - Matteo Gadaleta; Giulia Cisotto; Michele Rossi; Rana Zia Ur Rehman; Lynn Rochester; Silvia Del Din (EMBC, 2019)

Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson's Disease. - Rana Zia Ur Rehman; Silvia Del Din; Jian Qing Shi; Brook Galna; Sue Lord; Alison J. Yarnall; Yu Guan; Lynn Rochester (Sensors, 2019)

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; Brook Galna; Lynn Rochester; Silvia Del Din; Lisa Alcock (Sensors, 2020)

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; Lisa Alcock; Clint Hansen; Yu Guan; Tibor Hortobágyi; Walter Maetzler; Lynn Rochester; Claudine J. C. Lamoth (Sensors, 2020)

Classification of Neurological Patients to Identify Fallers Based on Spatial-Temporal Gait Characteristics Measured by a Wearable Device. - Yuhan Zhou; Rana Zia Ur Rehman; Clint Hansen; Walter Maetzler; Silvia Del Din; Lynn Rochester; Tibor Hortobágyi; Claudine J. C. Lamoth (Sensors, 2020)

Predicting the Progression of Parkinson's Disease MDS-UPDRS-III Motor Severity Score from Gait Data using Deep Learning. - Rana Zia Ur Rehman; Lynn Rochester; Alison J. Yarnall; Silvia Del Din (EMBC, 2021)

Predicting Daytime Sleepiness from Electrocardiography Based Respiratory Rate Using Deep Learning. - Emmi Antikainen; Rana Zia Ur Rehman; Teemu Ahmaniemi; Meenakshi Chatterjee (CinC, 2022)

Identification of Fatigue and Sleepiness in Immune and Neurodegenerative Disorders from Measures of Real-World Gait Variability. - Chloe Hinchliffe; Rana Zia Ur Rehman; Diogo Branco; Dan Jackson 001; Teemu Ahmaniemi; Tiago João Vieira Guerreiro; Meenakshi Chatterjee; Nikolay V. Manyakov; Ioannis Pandis; Kristen Davies; Victoria Macrae; Svenja Aufenberg; et al. (EMBC, 2023)

The Role of Wearable Sensors to Monitor Physical Activity and Sleep Patterns in Older Adult Inpatients: A Structured Review. - Gemma L. Bate; Cameron Kirk; Rana Zia Ur Rehman; Yu Guan; Alison J. Yarnall; Silvia Del Din; Rachael A. Lawson (Sensors, 2023)

Validation of an Algorithm for Measurement of Sedentary Behaviour in Community-Dwelling Older Adults. - Khalid Abdul Jabbar; Javad Sarvestan; Rana Zia Ur Rehman; Sue Lord; Ngaire Kerse; Ruth Teh; Silvia Del Din (Sensors, 2023)

Walking Bout Detection for People Living in Long Residential Care: A Computationally Efficient Algorithm for a 3-Axis Accelerometer on the Lower Back. - Mhairi K. Maclean; Rana Zia Ur Rehman; Ngaire Kerse; Lynne Taylor; Lynn Rochester; Silvia Del Din (Sensors, 2023)

Association of real life postural transitions kinematics with fatigue in neurodegenerative and immune diseases. - Robbin Romijnders; Arash Atrsaei; Rana Zia Ur Rehman; Lea Strehlow; Jèrôme Massoud; Chloe Hinchliffe; Victoria Macrae; Kirsten Emmert; Ralf Reilmann; C. Janneke van der Woude; Geert Van Gassen; Frédéric Baribaud; et al. (npj Digit. Medicine, 2025)