Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Eric Laciar Leber"'
Publikováno v:
2021 XIX Workshop on Information Processing and Control (RPIC).
Autor:
César A. González Díaz, Christian Chapa González, Eric Laciar Leber, Hugo A. Vélez, Norma P. Puente, Dora-Luz Flores, Adriano O. Andrade, Héctor A. Galván, Fabiola Martínez, Renato García, Citlalli J. Trujillo, Aldo R. Mejía
This book gathers the joint proceedings of the VIII Latin American Conference on Biomedical Engineering (CLAIB 2019) and the XLII National Conference on Biomedical Engineering (CNIB 2019). It reports on the latest findings and technological outcome
Publikováno v:
Advances in Electrocardiograms-Methods and Analysis
Advances in electrocardiograms-methods and analysis
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Advances in electrocardiograms: Methods and analysis
Advances in electrocardiograms-methods and analysis
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Advances in electrocardiograms: Methods and analysis
Digital processing of electrocardiographic records was one of the first applications of signal processing on medicine (Taback et al.,1959). There are many ways to analyze and study electrical cardiac activity using the surface electrocardiogram (ECG)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fdaf437d38f4edbf8226494f74a6a0a
https://doi.org/10.5772/23050
https://doi.org/10.5772/23050
Publikováno v:
Management of Epilepsy-Research, Results and Treatment
Epilepsy is a chronic neurological disorder that affects more than 50 million people world wide, characterized by recurrent seizures (World Health Organization [WHO], 2006). An epileptic seizure is a transient occurrence of signs and/or symptoms due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93c29fdf6e008f9d774292f92efa4bda
http://www.intechopen.com/articles/show/title/epileptic-seizures-detection-based-on-empirical-mode-decomposition-of-eeg-signals
http://www.intechopen.com/articles/show/title/epileptic-seizures-detection-based-on-empirical-mode-decomposition-of-eeg-signals
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 8, Iss 1, p 39 (2011)
Journal of NeuroEngineering and Rehabilitation
Journal of NeuroEngineering and Rehabilitation
Background Steady-State Visual Evoked Potential (SSVEP) is a visual cortical response evoked by repetitive stimuli with a light source flickering at frequencies above 4 Hz and could be classified into three ranges: low (up to 12 Hz), medium (12-30) a
Polisomnography (PSG) is the standard technique used to study the sleep dynamic and to identify sleep disorders. In order to obtain an integrated knowledge of different corporal functions during sleep, a PSG study must perform the acquisition of seve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f884ccc279176a3e35962af4d33b094
https://doi.org/10.5772/17219
https://doi.org/10.5772/17219
Publikováno v:
Scopus-Elsevier
An algorithm to detect automatically drowsiness episodes has been developed. It uses only one EEG channel to differentiate the stages of alertness and drowsiness. In this work the vectors features are building combining Power Spectral Density (PDS) a
Autor:
Max E Valentinuzzi, Eric Laciar Leber
Publikováno v:
Cardiac Fibrillation-Defibrillation: Clinical and Engineering Aspects
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd95095242076117c3fa8f9b871d8188
https://doi.org/10.1142/9789814293648_0004
https://doi.org/10.1142/9789814293648_0004
Publikováno v:
Journal of Medical and Biological Engineering. 33:526
Fil: Orosco, Lorena Liliana. Universidad Nacional de San Juan. Facultad de Ingenieria. Departamento de Electronica y Automatica. Gabinete de Tecnologia Medica; Argentina. Consejo Nacional de Investigaciones Cientificas y Tecnicas; Argentina
Publikováno v:
Journal of Physics: Conference Series. 332:012017
Majority of Brain-Computer Interface (BCI) for communication purposes are speller, i.e., the user has to select letter by letter. In this work, is proposed a different approach where the user can select words from a word set designed in order to answ