Charalampos (Harris) Sotirakis
PhD
Academic visitor/ Researcher in biomarkers for Parkinson’s disease
Identification of biomarkers for parkinsonian disorders.
My motivation
Movement disorders such as Parkinson's disease (PD) and Progressive Supranuclear Palsy (PSP) are neurodegenerative conditions that significantly reduce the quality of life for those affected.
My research focuses on exploring the potential of wearable sensors and data science, such as machine learning applications, to develop robust digital biomarkers that accurately detect motor symptoms and monitor the disease progression promptly. Such biomarkers can be used by clinical experts to improve diagnostic accuracy, monitor the disease progression and personalise disease management plans.
Our research within the NeuroMetrology group demonstrates that in both PD and PSP our digital biomarkers are able to detect the disease progression earlier than the traditional clinical examinations. This is important because capturing early signs of PD motor symptom progression can enable the assessment of the effectiveness of medical treatment.
Recent publications
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Identification of motor progression in Parkinson’s disease using wearable sensors and machine learning
Journal article
Sotirakis C. et al, (2023), npj Parkinson's Disease, 9
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Antiparkinsonian medication masks motor signal progression in de novo patients
Journal article
Brzezicki MA. et al, (2023), Heliyon, 9, e16415 - e16415
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Goalkeepers' plasticity during learning of a whole-body visuomotor rotation in a stable or variable environment.
Journal article
Vouras I. et al, (2023), Eur J Sport Sci, 1 - 9
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Longitudinal monitoring of Progressive Supranuclear Palsy using Body-Worn movement sensors
Journal article
ANTONIADES C. and FITZGERALD J., (2022), MDS
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Posture and gaze tracking of a vertically moving target reveals age-related constraints in visuo-motor coupling.
Journal article
Sotirakis H. et al, (2017), Neuroscience letters, 654, 12 - 16