Ingeniería de sistemas, control, automatización y robótica
ISCAR
Washington State University
Pullman, Estados UnidosWashington State University-ko ikertzaileekin lankidetzan egindako argitalpenak (2)
2019
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Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition
IEEE Transactions on Mobile Computing, Vol. 18, Núm. 3, pp. 658-673
2017
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An optimal approach for low-power migraine prediction models in the state-of-the-art wireless monitoring devices
Proceedings of the 2017 Design, Automation and Test in Europe, DATE 2017