Staff Profile
Dr Chloe Hinchliffe
Research Associate
I received my integrated master's degree in Medical Engineering MEng at the University of Surrey in 2018. My final year project was supervised by Dr Daniel Abasolo and Dr Mahinda Yogarajah and was titled “Electroencephalogram Analysis with Advanced Signal Processing Techniques for the Characterisation of Seizures”.
I continued on with Dr Abasolo and Dr Yogarajah at the University of Surrey where completed my PhD in Biomedical Engineering in 2022. The title of my PhD thesis was "Application of Machine Learning to Electroencephalograms and Electrocardiograms for the Differential Diagnosis of Psychogenic Non-epileptic Seizures and Epilepsy".
From October 2022, I have been a Research Assistant in the Brain and Movement (BAM) Research Group at the Translational and Clinical Research Institute of Newcastle University.
I am part of the Translational and Clinical Research Institute of Newcastle University. Here, I am working on the IDEA-FAST project, an international collaboration to identify digital endpoints to assess fatigue, sleep, and activities in daily living in neurodegenerative and immune disorders.
My research investigates the associations of macro and micro changes in gait with patient reported physical fatigue, mental fatigue, and daytime sleepiness. In this position, I am using advanced biomedical signal processing methods and machine/deep learning to develop towards an objective, low-cost method of identifying fatigue and sleepiness from digital wearables.
My responsibilities include:
· Development of advanced and novel features from triaxial accelerometer data
· Analysis of characteristics, patterns, and variability of gait from real-world recordings
· Evaluating associations with statistical measures and machine learning
· Production of high quality publications to prestigious scientific conferences and journals
My area of expertise is in biomedical signal processing with a focus on feature engineering and machine/deep learning. My interests include diagnosis/classification, development of novel features, and pipeline design.
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Articles
- Hinchliffe CHL, Yogarajah M, Elkommos S, Tang H, Abasolo D. Nonictal electroencephalographic measures for the diagnosis of functional seizures. Epilepsia 2024, epub ahead of print.
- Hinchliffe C, Rehman RZU, Pinaud C, Branco D, Jackson D, Ahmaniemi T, Guerreiro T, Chatterjee M, Manyakov NV, Pandis I, Davies K, Macrae V, Aufenberg S, Paulides E, Hildesheim H, Kudelka J, Emmert K, Van Gassen G, Rochester L, van der Woude CJ, Reilmann R, Maetzler W, Ng W-F, Del Din S. Evaluation of walking activity and gait to identify physical and mental fatigue in neurodegenerative and immune disorders: preliminary insights from the IDEA-FAST feasibility study. Journal of NeuroEngineering and Rehabilitation 2024, 21, 94.
- Scotland A, Cosne G, Juraver A, Karatsidis A, Penalver-Andres J, Bartholomé E, Kanzler CM, Mazzà C, Roggen D, Hinchliffe C, Del Din S, Belachew S. DISPEL: a Python Framework for Developing Measures from Digital Health Technologies. IEEE Open Journal of Engineering in Medicine and Biology 2024. In Press.
- Tackney MS, Steele A, Newman J, Fritzsche MC, Lucivero F, Khadjesari Z, Lynch J, Abbott RA, Barber VS, Carpenter JR, Copsey B, Davies EH, Dixon WG, Fox L, González J, Griffiths J, Hinchliffe CHL, Kolanko MA, McGagh D, Rodriguez A, Roussos G, So KBE, Stanton L, Toshner M, Varian F, Williamson PR, Yimer BB, Villar SS. Digital endpoints in clinical trials: emerging themes from a multi-stakeholder Knowledge Exchange event. Trials 2024, 25, 521.
- Hinchliffe C, Yoarajah M, Elkommos S, Tang H, Abasolo D. Entropy Measures of Electroencephalograms towards the Diagnosis of Psychogenic Non-Epileptic Seizures. Entropy 2022, 24(10), 1348.
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Conference Proceedings (inc. Abstracts)
- Hinchliffe C, Zhai B, Macrae V, Walton J, Ng WF, Del Din S. Can Measures of Habitual Activity Intensity Stratify Primary Sjogren’s Syndrome Participants With Persistent Fatigue? Insights From the Brc Tools Study. In: ICAMPAM. 2024, Rennes, Brittany, France: International Society for the Measurement of Physical Behavior (ISMPB).
- Hinchliffe C, Zhai B, Macrae V, Walton J, Ng WF, Del Din S. Can measures of habitual activity intensity stratify primary Sjogren’s syndrome participants with persistent fatigue? Insights from the BRC tools study. In: European Congress of Rheumatology (EULAR 2024). 2024, Vienna, Austria: European Alliance of Associations for Rheumatology, EULAR.
- Hinchliffe C, Rehman RZU, Branco D, Jackson D, Ahmaniemi T, Guerreiro T, Chatterjee M, Manyakov NV, Pandis I, Davies K, Macrae V, Aufenberg S, Paulides E, Hildesheim H, Kudelka J, Emmert K, Van Gassen G, Rochester L, van der Woude CJ, Reilmann R, Maetzler W, Ng WF, Del Din S, IDEA-FAST Consortium. Identification of Fatigue and Sleepiness in Immune and Neurodegenerative Disorders from Measures of Real-World Gait Variability. In: 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2023, Sydney, Australia: IEEE.
- Hinchliffe C, Yogarajah M, Tang L, Abasolo D. Electroencephalogram Connectivity for the Diagnosis of Psychogenic Non-epileptic Seizures. In: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022, Glasgow, Scotland. In Preparation.