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- Experimental Neurology Research Group
Syed Ahmar Shah
Postdoctoral Scientist in Experimental Neurology
I joined Peter Brown’s group in August 2015, where I am working towards developing a model that can explain various dynamical parameters due to motor response in Local Field Potentials (LFP) recorded at basal ganglia. Such a model is anticipated to be of significant importance in Brain Machine Interface e.g. neural prosthetic control.
From 2012 to 2015, I was a postdoctoral research assistant in the Department of Engineering Science, University of Oxford working in the space of mHealth systems to improve the management of patients with chronic conditions (Heart Failure, COPD and Hypertension). Prior to that, I did an MSc in Biomedical Engineering in 2007 and a DPhil in Biomedical Signal Processing in 2012, both in the Department of Engineering Science, University of Oxford. My DPhil work was aimed at developing a monitoring and data fusion system that could improve the triage process of children in primary and secondary care, to better monitor and identify children with serious infection. During the project, I worked on developing novel signal processing algorithms (including both time-domain and frequency-domain methods) to be able to extract respiratory rate using photoplethysmogram (PPG) recorded by a pulse oximeter. I also developed various machine learning algorithms (including novelty detection, and various two-class classifiers) using vital signs in order to identify children with serious infection. I completed my bachelors in Electronics Engineering in 2006 from GIK Institute, Pakistan.
Tremor stability index: a new tool for differential diagnosis in tremor syndromes.
di Biase L. et al, (2017), Brain, 140, 1977 - 1986
Self-Management Support Using a Digital Health System Compared With Usual Care for Chronic Obstructive Pulmonary Disease: Randomized Controlled Trial.
Farmer A. et al, (2017), J Med Internet Res, 19
Exacerbations in Chronic Obstructive Pulmonary Disease: Identification and Prediction Using a Digital Health System.
Shah SA. et al, (2017), J Med Internet Res, 19
Digital health system for personalised COPD long-term management.
Velardo C. et al, (2017), BMC Med Inform Decis Mak, 17
A Survey of Mobile Phone Sensing, Self-Reporting, and Social Sharing for Pervasive Healthcare.
Triantafyllidis AK. et al, (2017), IEEE J Biomed Health Inform, 21, 218 - 227