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Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment.

, , , , , , , , , , and . EMBC, page 655-658. IEEE, (2016)

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Selected Papers From the 4th IEEE-EMBS International Summer School and Symposium on Medical Devices and Biosensors., and . IEEE Trans. Biomed. Circuits and Systems, 2 (4): 249-250 (2008)Implantable Electronics., , and . IEEE Pervasive Computing, 7 (1): 12-13 (2008)Future Internet for eHealth (Dagstuhl Seminar 12231)., , , and . Dagstuhl Reports, 2 (6): 1-25 (2012)Using Wearable Sensors to Monitor Physical Activities of Patients with COPD: A Comparison of Classifier Performance., , , , and . BSN, page 234-239. IEEE Computer Society, (2009)The Use of a Finger-Worn Accelerometer for Monitoring of Hand Use in Ambulatory Settings., , , , and . IEEE J. Biomedical and Health Informatics, 23 (2): 599-606 (2019)Robot-induced perturbations of human walking reveal a selective generation of motor adaptation., , , and . Sci. Robotics, (2017)Decomposing time series data by a non-negative matrix factorization algorithm with temporally constrained coefficients., , , , and . EMBC, page 3496-3499. IEEE, (2015)Estimating fugl-meyer clinical scores in stroke survivors using wearable sensors., , , and . EMBC, page 5839-5842. IEEE, (2011)Estimating Bradykinesia in Parkinson's Disease with a Minimum Number of Wearable Sensors., , , , , , and . CHASE, page 264-265. IEEE Computer Society / ACM, (2017)Decomposition of superimposed waveforms using the cross time frequency transform., and . ICASSP, page 3550-3553. IEEE, (2000)