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Automatic detection, extraction and analysis of unrestrained gait using a wearable sensor system.

, , , and . EMBC, page 2034-2037. IEEE, (2015)

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The Effects of Electrode Placement on an Automated Algorithm for Detecting ST Segment Changes on the 12-Lead ECG., , , , , and . CinC, page 1161-1164. www.cinc.org, (2015)Fat quantification in MRI-defined lumbar muscles., , , , , , and . IPTA, page 327-332. IEEE, (2014)A Demonstration of the PATHway System for Technology-enabled Exercise-based Cardiac Rehabilitation., , , , , , , , , and . MMHealth@ACM Multimedia, page 59. ACM, (2016)An evaluation of a 3D multimodal marker-less motion analysis system., , , , , and . MMSys, page 213-221. ACM, (2019)A Deep Learning Model for Exercise-Based Rehabilitation Using Multi-channel Time-Series Data from a Single Wearable Sensor., , and . MobiHealth, volume 362 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 104-115. Springer, (2020)MedFit: A Mobile Application for Patients in CVD Recovery., , , , , , , and . MMHealth@MM, page 93-96. ACM, (2017)Quantifying radiographic knee osteoarthritis severity using deep convolutional neural networks., , , and . ICPR, page 1195-1200. IEEE, (2016)Automatic detection, extraction and analysis of unrestrained gait using a wearable sensor system., , , and . EMBC, page 2034-2037. IEEE, (2015)Automatically detecting asymmetric running using time and frequency domain features., , , , , , and . BSN, page 1-6. IEEE, (2015)PATHway: Decision Support in Exercise Programmes for Cardiac Rehabilitation., , , , , , , , , and . pHealth, volume 224 of Studies in Health Technology and Informatics, page 40-45. IOS Press, (2016)