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A Novel Parameterisation of Phase Plots for Monitoring of Parkinson's Disease.

, , , , and . EMBC, page 5890-5893. IEEE, (2019)

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Deep Learning Techniques for Improving Digital Gait Segmentation., , , , , and . EMBC, page 1834-1837. IEEE, (2019)A Novel Parameterisation of Phase Plots for Monitoring of Parkinson's Disease., , , , and . EMBC, page 5890-5893. IEEE, (2019)Identification of Fatigue and Sleepiness in Immune and Neurodegenerative Disorders from Measures of Real-World Gait Variability., , , , , , , , , and 13 other author(s). EMBC, page 1-4. IEEE, (2023)Innovative techniques for biomechanical evaluation of stroke survivors.. University of Padua, Italy, (2012)Within trial validation and reliability of a single tri-axial accelerometer for gait assessment., , , , and . EMBC, page 5892-5895. IEEE, (2014)Enhancing remote monitoring and classification of motor state in Parkinson's disease using Wearable Technology and Machine Learning., , , , , , , , , and 1 other author(s). MeMeA, page 1-6. IEEE, (2023)Validation of an Algorithm for Measurement of Sedentary Behaviour in Community-Dwelling Older Adults., , , , , , and . Sensors, 23 (10): 4605 (2023)Estimating fugl-meyer clinical scores in stroke survivors using wearable sensors., , , and . EMBC, page 5839-5842. IEEE, (2011)Addition of a non-immersive virtual reality component to treadmill training to reduce fall risk in older adults (V-TIME): a randomised controlled trial, , , , , , , , , and 1 other author(s). The Lancet, 388 (10050): 1170--1182 (2016)Towards holistic free-living assessment in Parkinson's disease: Unification of gait and fall algorithms with a single accelerometer., , , , , , and . EMBC, page 651-654. IEEE, (2016)