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pro vyhledávání: '"Vyza, Yashwanth"'
Autor:
Shin, Uisub, Ding, Cong, Zhu, Bingzhao, Vyza, Yashwanth, Trouillet, Alix, Revol, Emilie C. M., Lacour, Stéphanie P., Shoaran, Mahsa
Publikováno v:
IEEE Journal of Solid-State Circuits, vol. 57, no. 11, pp. 3243-3257, Nov. 2022
Closed-loop neural interfaces with on-chip machine learning can detect and suppress disease symptoms in neurological disorders or restore lost functions in paralyzed patients. While high-density neural recording can provide rich neural activity infor
Externí odkaz:
http://arxiv.org/abs/2205.06090
Autor:
Shin, Uisub, Ding, Cong, Zhu, Bingzhao, Vyza, Yashwanth, Trouillet, Alix, Revol, Emilie C. M., Lacour, Stephanie P., Shoaran, Mahsa
Publikováno v:
IEEE Journal of Solid-State Circuits; Nov2022, Vol. 57 Issue 11, p3243-3257, 15p
Akademický článek
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Publikováno v:
2018 15th IEEE India Council International Conference (INDICON).
Electrocardiogram assumes a significant part in the diagnosis of various cardiovascular disorders. This work deals with a comprehensive method to extract various statistical features from ECG signal to diagnose two major cardiovascular disorders i.e.
Publikováno v:
2017 14th IEEE India Council International Conference (INDICON).
Biosignals convey information about characteristics of certain processes taking place in the living system under study. Real time biosignals are not free of noise. Noise can be defined as the unwanted modifications that a signal may suffer during cap
Publikováno v:
International Journal of Biomedical and Clinical Engineering (IJBCE); January 2022, Vol. 11 Issue: 1 p1-27, 27p
Publikováno v:
2015 Annual IEEE India Conference (INDICON).
Epilepsy is one of the most unpredictable chronic neurological disorders characterized by the recurrent unprovoked seizure. Following Stroke and Alzheimer's Syndrome, Epilepsy stands third in neurological disorders and is active in children over 5yea
Publikováno v:
2015 Annual IEEE India Conference (INDICON); 2015, p1-6, 6p
Autor:
Shin, Uisub, Ding, Cong, Zhu, Bingzhao, Vyza, Yashwanth, Trouillet, Alix, Revol, Emilie C. M., Lacour, Stephanie P., Shoaran, Mahsa
Closed-loop neural interfaces with on-chip machine learning can detect and suppress disease symptoms in neurological disorders or restore lost functions in paralyzed patients. While high-density neural recording can provide rich neural activity infor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______185::fc18836229079c7e85ca6650d7fe915a
https://infoscience.epfl.ch/record/297386
https://infoscience.epfl.ch/record/297386