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Wireless Electromyography Technology for Fall Risk Evaluation.

, , , and . Sensors, volume 431 of Lecture Notes in Electrical Engineering, page 322-329. Springer, (2016)

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Supervised machine learning scheme for electromyography-based pre-fall detection system., , and . Expert Syst. Appl., (2018)A 5.8-13 GHz SDR RF front-end for wireless sensors network robust to out-of-band interferers in 65nm CMOS., , , and . IWASI, page 137-140. IEEE, (2015)Fall risk evaluation by surface electromyography technology., , and . ICE/ITMC, page 1092-1095. IEEE, (2017)TOF Sensor Network for AAL Monitoring Services., , and . ANT/SEIT, volume 19 of Procedia Computer Science, page 511-515. Elsevier, (2013)Core-shell Pd nanoparticles embedded in SnOx films. Synthesis, analytical characterisation and perspective application in chemiresistor-type sensing devices., , , , , , , , , and . Microelectron. J., 37 (12): 1620-1628 (2006)Context-Aware AAL Services through a 3D Sensor-Based Platform., , and . J. Sensors, (2013)Deep transfer learning approaches for bleeding detection in endoscopy images., , and . Comput. Medical Imaging Graph., (2021)Multi-sensor platform for automatic disorders detection in circadian rhythm., , , , and . IEEE SENSORS, page 1-3. IEEE, (2016)Clinical Decision Support System for Multisensory Stimulation Therapy in Dementia: A Preliminary Study., , and . ForItAAL, volume 884 of Lecture Notes in Electrical Engineering, page 315-334. Springer, (2020)A comparison between feature extraction methods of an electronic nose response., and . ICECS, page 1243-1246. IEEE, (2001)