Rana Zia Ur Rehman

According to our database, Rana Zia Ur Rehman authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, November, 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

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

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, Teemu Ahmaniemi, Tiago João Vieira Guerreiro, Meenakshi Chatterjee, Nikolay V. Manyakov, Ioannis Pandis, Kristen Davies, Victoria Macrae, Svenja Aufenberg, Emma Paulides, Hanna Hildesheim, Jennifer Kudelka, Kirsten Emmert, Geert Van Gassen, Lynn Rochester, C. Janneke van der Woude, Ralf Reilmann, Walter Maetzler, Wan-Fai Ng, Silvia Del Din

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Predicting Daytime Sleepiness from Electrocardiography Based Respiratory Rate Using Deep Learning.

Emmi Antikainen, Rana Zia Ur Rehman, Teemu Ahmaniemi, Meenakshi Chatterjee

Proceedings of the Computing in Cardiology, 2022

2021

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

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

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

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

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

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

Deep Learning Techniques for Improving Digital Gait Segmentation.

Matteo Gadaleta, Giulia Cisotto, Michele Rossi, Rana Zia Ur Rehman, Lynn Rochester, Silvia Del Din

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019