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Blood glucose level prediction based on support vector regression using mobile platforms.

, , , , , and . EMBC, page 2990-2993. IEEE, (2016)

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Cyclic motion analysis using inertial sensors and machine learning = Zyklische Bewegungsanalyse mit Inertialsensoren und maschinellem Lernen.. University of Erlangen-Nuremberg, Germany, (2020)Unobtrusive real-time heart rate variability analysis for the detection of orthostatic dysregulation., , , , , , and . BSN, page 189-193. IEEE, (2016)Smart soccer shoe: monitoring foot-ball interaction with shoe integrated textile pressure sensor matrix., , , , , , , and . ISWC, page 64-71. ACM, (2016)Blood glucose level prediction based on support vector regression using mobile platforms., , , , , and . EMBC, page 2990-2993. IEEE, (2016)Mobile Gait Analysis using Personalised Hidden Markov Models for Hereditary Spastic Paraplegia Patients., , , , , and . EMBC, page 5430-5433. IEEE, (2018)Smart Annotation Tool for Multi-sensor Gait-based Daily Activity Data., , , , and . PerCom Workshops, page 549-554. IEEE Computer Society, (2018)Wearables-based multi-task gait and activity segmentation using recurrent neural networks., , , and . Neurocomputing, (2021)Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson's Disease., , , , , , and . Sensors, 18 (1): 145 (2018)Smart Annotation of Cyclic Data Using Hierarchical Hidden Markov Models., , , and . Sensors, 17 (10): 2328 (2017)Segmentation of gait sequences using inertial sensor data in hereditary spastic paraplegia., , , , , , , and . EMBC, page 1266-1269. IEEE, (2017)